AWS Certified DevOps Engineer Professional DOP-C01 Practice Exam Part 4
Notes: Hi all, AWS Certified DevOps Engineer Professional Practice Exam Part 4 will familiarize you with types of questions you may encounter on the certification exam and help you determine your readiness or if you need more preparation and/or experience. Successful completion of the practice exam does not guarantee you will pass the certification exam as the actual exam is longer and covers a wider range of topics. We highly recommend you should take AWS Certified DevOps Engineer Professional DOP-C01 Actual Exam Version because it include real questions and highlighted answers are collected in our exam. It will help you pass exam in easier way.
301. You want to build a new search tool feature for your monitoring system that will allow your information security team to quickly audit all API calls in your AWS accounts. What combination of AWS services can you use to develop and automate the backend processes supporting this tool? (Choose three.)
A. Create an Amazon CloudSearch domain for API call logs. Configure the search domain so that it can be used to index API call logs for the search tool.
B. Use AWS CloudTrail to store API call logs in an Amazon S3 bucket. Configure an Amazon Simple Notification Service topic called “log-notification” that notifies subscribers when new logs are available. Subscribe an Amazon SQS queue to the topic.
C. Use Amazon Cloudwatch to ship AWS CloudTrail logs to your monitoring system.
D. Create an AWS Elastic Beanstalk application in worker role mode that uses an Amazon Simple Email Service (SES) domain to facilitate batch processing of new API call log files retrieved from an Amazon S3 bucket into a search index.
E. Use AWS CloudTrail to store API call logs in an Amazon S3 bucket. Configure Amazon Simple Email Service (SES) to notify subscribers when new logs are available. Subscribe an Amazon SQS queue to the email domain.
F. Create Amazon Cloudwatch custom metrics for the API call logs. Configure a Cloudwatch search domain so that it can be used to index API call logs for the search tool.
G. Create an AWS Elastic Beanstalk application in worker role mode that uses an Amazon SQS queue to facilitate batch processing of new API call log files retrieved from an Amazon S3 bucket into a search index.
302. You are using AWS Elastic Beanstalk to deploy your application and must make data stored on an Amazon Elastic Block Store (EBS) volume snapshot available to the Amazon Elastic Compute Cloud (EC2) instances. How can you modify your Elastic Beanstalk environment so that the data is added to the Amazon EC2 instances every time you deploy your application?
A. Add commands to a configuration file in the .ebextensions folder of your deployable archive that mount an additional Amazon EBS volume on launch. Also add a “BlockDeviceMappings” option, and specify the snapshot to use for the block device in the Auto Scaling launch configuration.
B. Add commands to a configuration file in the .ebextensions folder of your deployable archive that uses the create-volume Amazon EC2 API or CLI to create a new ephemeral volume based on the specified snapshot and then mounts the volume on launch.
C. Add commands to the Amazon EC2 user data that will be executed by eb-init, which uses the create- volume Amazon EC2 API or CLI to create a new Amazon EBS volume based on the specified snapshot, and then mounts the volume on launch.
D. Add commands to the Chef recipe associated with your environment, use the create-volume Amazon EC2 API or CLI to create a new Amazon EBS volume based on the specified snapshot, and then mount the volume on launch.
303. You would like to run automated, continuous application level integration tests on all members of an Auto Scaling group. Which two options should you use? (Choose two.)
A. Use the AWS SDK to run the DescribeInstances API call on the Auto Scaling group, and then iterate over the members and remotely connect to each Amazon EC2 instance and run the integration tests.
B. Use the AWS SDK to run the DescribeAutoScalinglnstances API call on the Auto Scaling Group, iterate over the members using the Describe Instances API call, remotely connect to each Amazon EC2 instance, and then run the integration tests.
C. Set up a custom CloudWatch metric with the output of your integration tests that are run by a scheduled process on each instance, and then set up a CloudWatch alert for any failures.
D. Using an Auto Cycle Group lifecycle policy, define a scheduled task to run integration tests when a new Amazon EC2 instance enters the InService state.
E. Set up a custom CloudWatch metric that uses the output of the DescribeAutoScalingInstances API call to determine the HealthCheck status of the Amazon EC2 instances.
F. Using the Auto Cycle Group lifecycle policy, define a scheduled task to run integration tests on individual instances using the Amazon EC2 user data to export test data to CloudWatch Logs.
304. Your application Amazon Elastic Compute Cloud (EC2) instances bootstrap by using a master configuration file that is kept in a version-enabled Amazon Simple Storage Service (S3) bucket. Which one of the following methods should you use to securely install the current configuration version onto the instances in a cost-effective way?
A. Create an Amazon DynamoDB table to store the different versions of the configuration file. Associate AWS Identity and Access Management (IAM) EC2 roles to the Amazon EC2 instances, and reference the DynamoDB table to get the latest file from Amazon Simple Storage Service (S3).
B. Associate an IAM S3 role to the bucket, list the object versions using the Amazon S3 API, and then get the latest object.
C. Associate an IAM EC2 role to the instances, list the object versions using the Amazon S3 API, and then get the latest object.
D. Associate an IAM EC2 role to the instances, and then simply get the object from Amazon S3, because the default is the current version.
E. Store the IAM credentials in the Amazon EC2 user data for each instance, and then simply get the object from S3, because the default is the current version.
305. Your company operates a website for promoters to sell tickets for entertainment events. You are using a load balancer in front of an Auto Scaling group of web servers. Promotion of popular events can cause surges of website visitors. During scaling-out at these times, newly launched instances are unable to complete configuration quickly enough, leading to user disappointment. What options should you choose to improve scaling yet minimize costs? (Choose two.)
A. Create an AMI with the application pre-configured. Create a new Auto Scaling launch configuration using this new AMI, and configure the Auto Scaling group to launch with this AMI.
B. Use Auto Scaling pre-warming to launch instances before they are required. Configure prewarming to use the CPU trend CloudWatch metric for the group.
C. Publish a custom CloudWatch memo from your application on the number of tickets sold, and create an Auto Scaling policy based on this.
D. Use the history of past scaling events for similar event sales to predict future scaling requirements. Use the Auto Scaling scheduled scaling feature to vary the size of the fleet.
E. Configure an Amazon S3 bucket for website hosting. Upload into the bucket an HTML holding page with its x-amz-website-redirect-location’ metadata property set to the load balancer endpoint. Configure Elastic Load Balancing to redirect to the holding page when the load on web servers is above a certain level.
Answer: A, D
306. You are responsible for a popular file sharing application that uses Elastic Load Balancing to distribute traffic to an Amazon EC2 application tier deployed in an Auto Scaling group that runs across multiple Availability Zones. You currently record the number of user file transfers to a log file on the application server, and then write data points from the logs to an Amazon RDS MySQL instance. You are not happy with how your application scales, and want to implement a new scaling policy based on the average number of user file transfers in a 10-minute period instead of average CPU utilization in the last five minutes. What steps should you take to ensure that your application tier scales based on this new policy? (Choose two.)
A. Create a new CloudWatch alarm based on the Elastic Load Balancing “RequestCount” metric that triggers an Auto Scaling action to scale the application tier.
B. Create a new CloudWatch alarm based on a custom metric streaming from the Amazon RDS MySQL instance that triggers an Auto Scaling action to scale the application tier.
C. Create a new CloudWatch alarm based on a custom metric published from file transfer logs streaming to CloudWatch that triggers an Auto Scaling action to scale the application tier.
D. Create a new Auto Scaling launch configuration that includes an Amazon EC2 user data script that installs a CloudWatch Logs Agent on newly launched instances in the application tier. The agent will be configured to stream the file transfers log tile to CloudWatch.
E. Create a new Auto Scaling launch configuration for the application tier that scales based on an Auto Scaling policy that reads the file transfer log data from the Amazon RIDS MySQL instance.
F. Create a new Auto Scaling launch configuration that includes an Amazon EC2 user data script that installs an Amazon RDS Logs Agent on newly launched instances in the application tier. The agent will be configured to stream the file transfer data points to the Auto Scaling group.
Answer: C, D
306. Your DevOps team is responsible for a multi-tier, Windows-based web application consisting of web servers, Amazon RDS database instances, and a load balancer behind Amazon Route53. You have been asked by your manager to build a cost-effective rolling deployment solution for this web application. What method should you use?
A. Re-deploy your application on an AWS OpsWorks stack. Use the AWS OpsWorks done stack feature to allow updates between duplicate stacks.
B. Re-deploy your application on Elastic Beanstalk and take advantage of Elastic BeanStalk rolling updates.
C. Re-deploy your application using an AWS CloudFormation template, launch a new AWS CloudFormation stack during each deployment, and then tear down the old stack.
D. Re-deploy your application using an AWS CloudFormation template. Use AWS CloudFormation rolling deployment policies, create a new policy for your AWS CloudFormation stack, and initiate an update stack operation to deploy new code.
307. You recently encountered a major bug in your Windows-based web application during a deployment cycle. During this failed deployment, it took the team four hours to roll back to a previously working state, which left customers with a poor user experience. During the postmortem, your team discussed the need to provide a quicker way to roll back failed deployments. You currently run your web application on Amazon EC2 using Windows 2012R2 and use Elastic Load Balancing for your load balancing needs. Which technique should you use to solve this problem?
A. Create deployable versioned bundles of your application. Store the bundles on Amazon S3. Redeploy your web application on Elastic Beanstalk, and enable the Elastic Beanstalk autorollback feature tied to CloudWatch metrics that define failure.
B. Re-deploy your web application using an AWS OpsWorks stack, and use the AWS OpsWorks auto-rollback feature to initiate a rollback during failures.
C. Create deployable versioned bundles of your application. Store the bundle on Amazon S3. Redeploy your web application using an AWS OpsWorks stack, and use AWS OpsWorks application versioning to initiate a rollback during failures.
D. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk application versions when deploying. During failures, re-deploy the previous version to the Elastic Beanstalk environment.
E. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk API to trigger a FailedDeployment API call to initiate a rollback to the previous version.
309. You have a high-traffic application running behind a load balancer with clients that are very sensitive to latency. How should you determine which back-end Amazon Elastic Compute Cloud application instances are causing increased latency so that they can be replaced?
A. By using the Elastic Load Balancing Latency CloudWatch metric.
B. By using the HTTP X-Forwarded-For header for requests from the load balancer.
C. By running a distributed load test to the load balancer.
D. By using the load balancer access logs.
310. Your company operates an application consisting of an AWS CloudFormation stack that contains a load balancer, an Auto Scaling group of web servers, and an Amazon RDS instance. To save time and costs, you update the current test stack when testing minor changes, and create a new stack for major changes. As part of the testing procedure of your application, each version needs to be registered once and only once with a Configuration Management Database (CMDB). What cost-effective solution should you choose to perform this registration?
A. Use Auto Scaling Leader Node functionality to notify the registration application from the UserData script of a single Instance. Use the AWS CloudFormation cfn-hup helper application to receive template updates on the leader node, which then notifies the CMDB.
B. Define an AWS: :CloudFormation::CustomResource in the AWS CloudFormation template, with the application version as one of its properties. Modify the CMDB to subscribe to the resource’s creation and update notifications.
C. Define an AWS::CloudFormation::HttpRequest in the AWS CloudFormation template, and configure it to notify the CMDB on stack creation and update.
D. Define an AWS::EC2::Instance resource in the AWS CloudFormation template that is configured to run a UserData script to notify the CMDB and then terminate itself on completion.
311. You manage a three-tier web application consisting of an autoscaled web proxy tier, an autoscaled application tier, and an Amazon RDS database tier. You use a load balancer to distribute requests from end users to the web proxy tier and another, internal load balancer to distribute requests between the web tier and the application tier. After deploying a small database schema update, you notice that all of your web and application instances have been terminated. What may have caused this?
A. Your load balancers use an HTTP health check, and the page relies on retrieving data from your database.
B. Your load balancer uses TCP health checks to provide application-level health checks.
C. The cooldown period of the Auto Scaling group is too short, so the instances do not have enough time to recover from an issue.
D. Your Auto Scaling group health check type is set to “EC2” to check that the instances themselves are healthy.
312. Your organization has decided to implement a third-party configuration management tool that uses a master server from which nodes pull configuration. You have built a custom base Amazon Machine Image that already has the third-party configuration management agent installed. You want to use the same base AMI in Development, Test and Production environments, each of which has its own master server. How should you configure your Amazon EC2 instances to register with the correct master server on launch?
A. Create a tag for all instances that specifies their environment. When launching instances, provide an Amazon EC2 UserData script that gets this tag by querying the MetaData Service and registers the agent with the master.
B. Use Amazon CloudFormation to describe your environment. Configure an input parameter for the master server hostname/address, and use this parameter within an Amazon EC2 UserData script that registers the agent with the master.
C. Create a script on your third-party configuration management master server that queries the Amazon EC2 API for new instances and registers them with it.
D. Use Amazon Simple Workflow Service to automate the process of registering new instances with your master server. Use an Environment tag in Amazon EC2 to register instances with the correct master server.
313. You have been asked to handle a large data migration from multiple Amazon RDS MySQL instances to a DynamoDB table. You have been given a short amount of time to complete the data migration. What will allow you to complete this complex data processing workflow?
A. Create an Amazon Kinesis data stream, pipe in all of the Amazon RDS data, and direct the data toward a DynamoDB table.
B. Write a script in your language of choice, install the script on an Amazon EC2 instance, and then use Auto Scaling groups to ensure that the latency of the migration pipelines never exceeds four seconds in any 15-minute period.
C. Write a bash script to run on your Amazon RDS instance that will export data into DynamoDB.
D. Create a data pipeline to export Amazon RDS data and import the data into DynamoDB.
314. Your application requires a fault-tolerant, low-latency and repeatable method to load configuration files via Auto Scaling when Amazon Elastic Compute Cloud (EC2) instances launch. Which approach should you use to satisfy these requirements?
A. Securely copy the content from a running Amazon EC2 instance.
B. Use an Amazon EC2 UserData script to copy the configurations from an Amazon Storage Services (S3) bucket.
C. Use a script via cfn-init to pull content hosted in an Amazon ElastiCache cluster.
D. Use a script via cfn-init to pull content hosted on your on-premises server.
E. Use an Amazon EC2 UserData script to pull content hosted on your on-premises server.
315. Currently, your deployment process consists of setting your load balancer to point to a maintenance page, turning off web application servers, deploying your code, turning the web application servers back on, and removing the maintenance page. Working with your development team, you’ve agreed that performing rolling deployments of your software would provide a better user experience and a more agile deployment process. Which techniques could you use to provide a cost-effective rolling deployment process? (Choose two.)
A. Use the Amazon Elastic Cloud Compute (EC2) API to write a service to return a list of servers based on the tags for the application that needs deployment, and use Amazon Simple Queue Service to queue up all servers for a rolling deployment.
B. Re-deploy your application on AWS Elastic Beanstalk, and use Elastic Beanstalk rolling deployments.
C. Re-deploy your application on an AWS OpsWorks stack, and take advantage of OpsWorks rolling deployments.
D. Re-deploy your application using an AWS CloudFormation template, launch a new CloudFormation stack during each deployment, and then tear down the old stack.
E. Re-deploy your application using an AWS CloudFormation template with Auto Scaling group, and use update policies to provide rolling updates.
F. Using Amazon Simple Workflow Service, create a workflow application that talks to the Amazon EC2 API to deploy your new code in a rolling fashion.
316. You manage a web advertising platform on a single AWS account. This platform provides real time ad-click data that you store as objects in an Amazon S3 bucket called “dick-data.” Your advertising partners want to use Amazon Elastic MapReduce in their own AWS accounts to do analytics on the ad-click data. They have asked for immediate access to the ad-dick data so that they can run analytics. Which two choices are required to facilitate secure access to this data? (Choose two.)
A. Create a cross-account TAM role with a trust policy that contains partner AWS account IDs and a unique external ID.
B. Create a new IAM group for AWS Data Pipeline users with a trust policy that contains partner AWS account IDs.
C. Configure an Amazon S3 bucket policy for the “click-data” bucket that allows Read-Only access to the objects, and associate this policy with an IAM role.
D. Configure the Amazon S3 bucket access control list to allow access to the partners Amazon Elastic MapReduce cluster.
E. Configure AWS Data Pipeline in the partner AWS accounts to use the web Identity Federation API to access data in the “click-data” bucket.
F. Configure AWS Data Pipeline to transfer the data from the ”click-data” bucket to the partner’s Amazon Elastic MapReduce cluster.
317. You run a SIP-based telephony application that uses Amazon EC2 for its web tier and uses MySQL on Amazon RDS as its database. The application stores only the authentication profile data for its existing users in the database and therefore is read-intensive. Your monitoring system shows that your web instances and the database have high CPU utilization. Which of the following steps should you take in order to ensure the continual availability of your application? (Choose two.)
A. Use a CloudFront RTMP download distribution with the application tier as the origin for the distribution.
B. Set up an Auto Scaling group for the application tier and a policy that scales based on the Amazon EC2 CloudWatch CPU utilization metric.
C. Vertically scale up the Amazon EC2 instances manually.
D. Set up an Auto Scaling group for the application tier and a policy that scales based on the Amazon RDS CloudWatch CPU utilization metric.
E. Switch to General Purpose (SSD) Storage from Provisioned IOPS Storage (PIOPS) for the Amazon RDS database.
F. Use multiple Amazon RDS read replicas.
318. Your team is responsible for an AWS Elastic Beanstalk application. The business requires that you move to a continuous deployment model, thus releasing updates to the application multiple times per day with zero downtime. What should you do to enable this and still be able to roll back to the previous version almost immediately in an emergency?
A. Enable roiling updates in the Elastic Beanstalk environment and set an appropriate pause time for application startup.
B. Create a second Elastic Beanstalk environment that runs the new application version, and swap the environment CNAMEs.
C. Configure the application to poll for a new application version in your code repository; download and install the new version to each running Elastic Beanstalk instance.
D. Create a second Elastic Beanstalk environment with the new application version, and configure the old environment to use the HTTP 301 response code to redirect clients to the new environment.
319. Your Company wants to perform A/B testing on a new website feature for 20 percent of its users. The website uses CloudFront for whole site delivery, with some content cached for up to 24 hours. How do you enable this testing for the required proportion of users while minimizing performance impact?
A. Configure the web servers to handle two domain names. The feature is switched on or off depending on which domain name is used for a request. Configure a CloudFront origin for each domain name, and configure the CloudFront distribution to use one origin for 20 percent of users and the other origin for the other 80 percent.
B. Configure the CloudFront distribution to forward a cookie specific to this feature. For requests where the cookie is not set, the web servers set its value to ”on” for 20 percent of responses and “off” for 80 percent. For requests where the cookie is set, the web servers use Its value to determine whether the feature should be on or off for the response.
C. Create a second stack of web servers that host the website with the feature on. Using Amazon Route53, create two resource record sets with the same name: one with a weighting of “1” and a value of this new stack; the other a weighting of “4” and a value of the existing stack. Use the resource record set’s name as the CloudFront distribution’s origin.
D. Invalidate all of the CloudFront distribution’s cache items that the feature affects. On future requests, the web servers create responses with the feature on for 20 percent of users, and off for 80 percent. The web servers set “Cache-Control: no-cache” on all of these responses.
320. You have been asked to use your departments existing continuous Integration (CI) tool to test a three-tier web architecture defined In an AWS CloudFormation template. The tool already supports AWS APIs and can launch new AWS CloudFormation stacks after polling version control. The CI tool reports on the success of the AWS CloudFormation stack creation by using the Describe Stacks API to look for the CREATE COMPLETE status. The architecture tiers defined in the template consist of: – One load balancer – Five Amazon EC2 instances running the web application – One multi-AZ Amazon ROS instance How would you implement this? (Choose two.)
A. Define a WaitCondition and a WaitConditionHandle for the output of a UserData command that does sanity checking of the application’s post-install state.
B. Define a CustomResource and write a script that runs architecture-level Integration tests through the load balancer to the application and database for the state of multiple tiers.
C. Define a WaitCondition and use a WaitConditionHandle that leverages the AWS SDK to run the DescribeStacks API call until the CREATE COMPLETE status is returned.
D. Define a CustomResource that leverages the AWS SDK to run the DescribeStacks API call until the ‘CREATE COMPLETE status is returned.
E. Define a UserDataHandle for the output of a UserData command that does sanity checking of the application’s post-install state and runs integration tests on the state of multiple tiers through the load balancer to the application.
F. Define a UserDataHandle for the output of a CustomResource that does sanity checking of the application’s post-install state.
321. You are building a large, multi-tenant SaaS (software-as-a-service) application with a component that fetches data to process from a customer-specific Amazon S3 bucket in their account. How should you ensure that your application follows security best practices and limits risk when fetching data from customer-owned Amazon S3 buckets?
A. Have users create an IAM user with a policy that grants read-only access to the Amazon S3 bucket required by your application, and store the corresponding access keys in an encrypted database that holds their account data.
B. Have users create a cross-account lAM role with a policy that grants read-only access to the Amazon S3 bucket required by your application to the AWS account ID running your production Sass application.
C. Have users create an Amazon S3 bucket policy that grants read-only access to the Amazon S3 bucket required by your application, and securely store the corresponding access keys in the database holding their account data.
D. Have users create an Amazon S3 bucket policy that grants read-only access to the Amazon S3 bucket required by your application and limits access to the public IP address of the SaaS application.
322. You have a fleet of Elastic Compute Cloud (EC2) instances in an Auto Scaling group. All of these instances are running Microsoft Windows Server 2012 backed by Amazon Elastic Block Store (EBS). These instances were launched through AWS CloudFormation. You have determined that your instances are underutilized, and in order to save some money, have decided to modify the instance type of the fleet. In which of the following ways can you achieve the desired result during a scheduled maintenance window? (Choose two.)
A. Create a new Auto Scaling launch configuration specifying the new instance type, associate it to the existing Auto Scaling group, and terminate the running instances.
B. Identify the new instance type in the user data and restart the running instances one at a time.
C. Use the AWS Command Line Interface (CLI) to modify the instance type of each running instance. D. Change the instance type in the AWS CloudFormation template that was used to create the Amazon EC2 instances, and then update the stack.
E. Take snapshots of the running instances, and launch new instances based on those snapshots.
323. You run a large number of applications on Amazon EC2 instances. Each application has associated metadata, such as cost center, support contact, and application ID. Many applications usually co-exist on each Amazon EC2 instance, so the amount of metadata per instance can range from 10 to 200 items. The customer wants to be able to quickly access this metadata using an API without logging into the instances. Which of the following options will satisfy their requirements? (Choose two.)
A. Create individual Amazon EC2 tags for each metadata item, and associate them with the Amazon EC2 instances. Access the metadata by using the ec2-describe-instance API call.
B. Create compound Amazon EC2 tags for the metadata items, where multiple items are joined together in individual tags, and associate them with the Amazon EC2 instances. Access the metadata by using the ec2-describe-tags API call.
C. Create a DynamoDB table to hold the metadata, and associate it with the Amazon EC2 instance IDs running the applications. Access the metadata by querying the database via the DynamoDB API. D. As part of the Amazon EC2 Instance bootstrapping process, add the metadata to the Amazon EC2 user data. Access the metadata by using the ec2-describe-instance API call.
E. As part of the Amazon EC2 instance bootstrapping process, add the metadata to the Amazon EC2 user data. Access the metadata by accessing its loopback address from a management instance in the same VPC.
324. You have an application running on multiple Amazon EC2 instances within an Auto Scaling group. You notice that instances are being re-spawned as their health checks are failing in Amazon EC2. However, before you have a chance to diagnose the issue, the affected instances are being terminated by the Auto Scaling service. You receive notifications of health checks failing and investigate within 20 minutes. However, this is not enough time to troubleshoot the issue. What should you change that will enable you to troubleshoot the instance before it is terminated by the Auto Scaling service, while keeping costs minimal?
A. Install the Amazon CloudWatch Logs Agent on the instance and configure application and system logs to be sent to the CloudWatch Logs service.
B. Configure an Amazon SNS topic and associate it with your Auto Scaling group’s CloudWatch alarms. Configure an Amazon SQS queue as a subscriber of this topic, and then create a fleet of Amazon EC2 workers that poll this queue and instruct the Amazon EC2 Auto Scaling API to remove the instance from the Auto Scaling group when an alarm is triggered.
C. Create an Auto Scaling Group lifecycle hook to hold the instance in a terminating:wait state until you have completed any troubleshooting. When you have completed troubleshooting, wait for the terminating state to expire, or notify Scaling to complete the lifecycle hook and terminate the Instance.
D. Change the “DeleteOnTermination” flag to false in the Auto Scaling group configuration to ensure that instances are not deleted in the future.
325. You set up a scalable continuous integration platform on AWS. The platform consists of a master node that can delegate project build jobs to multiple slave nodes, all running on Amazon EC2. The build output will be stored in Amazon S3. You always have five slave nodes deployed. Each slave node can handle 10 build jobs simultaneously. Your master node publishes a custom Amazon CloudWatch metric with the name “RunningBuildiobs” that Slows you to programmatically track how many build jobs are running across your platform. Which two configuration options will allow you to flexibly scale your platform to support more than 50 simultaneous build jobs while minimizing costs? (Choose two.)
A. Place your fleet of slave nodes in an Auto Scaling group. Configure a CloudWatch alarm that triggers an Auto Scaling policy to launch Amazon EC2 Instances when “RunningBuildJobs” is greater than 45 for more than five minutes.
B. Configure a CloudWatch alarm that sends an alert when “RunningBuildJobs” is greater than 45 for more than five minutes. Use Amazon Simple Queue Service to process additional build jobs when the CloudWatch alarm is triggered.
C. Configure your fleet of slave nodes to fully utilize all of your purchased Amazon EC2 Heavy Utilization Reserved Instances. Configure a CloudWatch alarm that launches new Amazon EC2 instances when “RunningBuildJobs” is less than 40 for more than five minutes.
D. Run your fleet of slave nodes in an Auto Scaling group. Configure a Cloudwatch alarm that launches new Amazon EC2 Dedicated Instances when “RunningBuildJobs” is less than 40 for more than five minutes.
E. Place your fleet of slave nodes in an Auto Scaling group. Configure a CloudWatch alarm that triggers an Auto Scaling policy to terminate Amazon EC2 instances when “RunningBuildJobs” is less than 40 for more than five minutes.
326. You have just come from your Chief Information Security Officer’s (CISO) office with the instructions to provide an audit report of all AWS network rules used by the organization’s Amazon EC2 instances. You have discovered that a single Describe-Security-Groups API call will return all of an account’s security groups and rules within a region. You create the following pseudo-code to create the required report: – Parse “aws ec2 describe-security-groups” output – For each security group – Create report of ingress and egress rules Which two additional pieces of logic should you include to meet the CISO’s requirements? (Choose two.)
A. Parse security groups in each region.
B. Parse security groups in each Availability Zone and region.
C. Evaluate VPC network access control lists.
D. Evaluate AWS CloudTrail logs.
E. Evaluate Elastic Load Balancing access control lists.
F. Parse CloudFront access control lists.
327. You are responsible for a large-scale video transcoding system that operates with an Auto Scaling group of video transcoding workers. The Auto Scaling group is configured with a minimum of 750 Amazon EC2 instances and a maximum of 1000 Amazon EC2 instances. You are using Amazon SQS to pass a message containing the URI for a video stored in Amazon S3 to the transcoding workers. An Amazon CloudWatch alarm has notified you that the queue depth is becoming very large. How can you resolve the alarm without the risk of increasing the time to transcode videos? (Choose two.)
A. Create a second queue in Amazon SQS.
B. Adjust the Amazon CloudWatch alarms for a higher queue depth.
C. Create a new Auto Scaling group with a launch configuration that has a larger Amazon EC2 instance type.
D. Add an additional Availability Zone to the Auto Scaling group configuration.
E. Change the Amazon CloudWatch alarm so that it monitors the CPU utilization of the Amazon EC2 instances rather than the Amazon SQS queue depth.
F. Adjust the Auto Scaling group configuration to increase the maximum number of Amazon EC2 instances.
328. You have been tasked with deploying a solution for your company that will store images, which the marketing department will use for its campaigns. Employees are able to upload images via a web interface, and once uploaded, each image must be resized and watermarked with the company logo. Image resize and watermark is not time-sensitive and can be completed days after upload if required. How should you design this solution in the most highly available and cost-effective way?
A. Configure your web application to upload images to the Amazon Elastic Transcoder service. Use the Amazon Elastic Transcoder watermark feature to add the company logo as a watermark on your images and then to upload the final images into an Amazon S3 bucket.
B. Configure your web application to upload images to Amazon S3, and send the Amazon S3 bucket URI to an Amazon SQS queue. Create an Auto Scaling group and configure it to use Spot instances, specifying a price you are willing to pay. Configure the instances in this Auto Scaling group to poll the SQS queue for new images and then resize and watermark the image before uploading the final images into Amazon S3.
C. Configure your web application to upload images to Amazon S3, and send the S3 object URI to an Amazon SQS queue. Create an Auto Scaling launch configuration that uses Spot instances, specifying a price you are willing to pay. Configure the instances in this Auto Scaling group to poll the Amazon SQS queue for new images and then resize and watermark the image before uploading the new images into Amazon S3 and deleting the message from the Amazon SQS queue.
D. Configure your web application to upload images to the local storage of the web server. Create a cronjob to execute a script daily that scans this directory for new files and then uses the Amazon EC2 Service API to launch 10 new Amazon EC2 instances, which will resize and watermark the images daily.
329. You run a small online consignment marketplace. Interested sellers complete an online application in order to allow them to sell their products on your website. Once approved, they can post their product using a custom interface. From that pant, you manage the shopping cart process so that when a buyer decides to buy a product, you handle the billing and coordinate the shipping. Part of this process requires sending emails to the buyer and the seller at different stages. Your system has been running on AWS for a few months. Occasionally, products are shipped before payment cleared and emails are sent out of order. Furthermore, sometimes credit cards are being charged twice. How can you resolve these problems?
A. Use the Amazon Simple Queue Service (SQS), and use a different set of workers for each task.
B. Use the Amazon Simple Workflow Service (SWF), and use a different set of workers for each task. C. Use the Simple Email Service (SES) to control the correct order of email delivery.
D. Use the AWS Data Pipeline service to control the process flow of the various tasks.
E. Use the Amazon Simple Queue Service (SQS), and use a single set of workers for each task.
330. Your application has an Auto Scaling group of m3.large instances running an application that receives messages born an Amazon SQS queue. After a while, the number of instances reaches the maximum set for the group and the number of messages on the queue continues to increase. You have discovered that a third- party library used by the application has a bug that causes a memory leak. What cost-effective steps can you take to continue message processing while the library developer fixes the bug?
A. Enable Elastic Load Balancing health checks for the Auto Scaling group. When Elastic Load Balancing has detected a failure, Auto Scaling will terminate the failing application’s instance and launch a new one.
B. Use Amazon EC2 instance memory usage CloudWatch metrics to raise alerts when they reach a defined level and send a message to Auto Scaling to fail the instance health check.
C. Use application monitoring on the instance to restart the application when memory usage reaches a defined level.
D. Create a new Auto Scaling launch configuration to use the r3.large instance type. Update the Auto Scaling group with the new launch configuration.
331. You are in charge of a large-scale highly available multi-tier web application infrastructure. This architecture consists of Amazon Route53 with a load balancer and multiple Amazon EC2 instances. You have been tasked to come up with a process to provide Blue/Green style deployments. Which technique should you use to deliver this new requirement?
A. Using Elastic Beanstalk re-deploy your application and configure Elastic Beanstalk Deployment types, and then use Amazon Route53’s alias resource record set to swap between Elastic Beanstalk deployment types.
B. Re-deploy your application behind a load balancer using an AWS CloudFormation template, launch a new AWS CloudFormation stack during each deployment, update your Amazon Route53 alias resource record set to point to the new load balancer, and finally, terminate your old AWS CloudFormation stack.
C. Re-deploy your application behind a load balancer using Auto Scaling groups, create a new identical Auto Scaling group, and associate it to the load balancer. During deployment, create a new Amazon Route53 hosted zone, add this new load balancer to the zone in an alias resource record set, and then remove your old Auto Scaling group.
D. Re-deploy your application behind a load balancer using an OpsWorks stack, and use AWS OpsWorks stack versioning. During deployment, create a new version of your application, tell OpsWorks to launch the new version behind your load balancer, and when the new version launches, update your Amazon Route53 alias resource retort to point to the new load balancer.
332. Your application uses Amazon SQS and Auto Scaling to process background jobs. The Auto Scaling policy is based on the number of messages in the queue, with a maximum Instance count of 100. Since the application was launched, the group has never scaled above 50. The Auto Scaling group has now scaled to 100, the queue size is increasing, and very few Jobs are being completed. The number of messages being sent to the queue is at normal levels. What should you do to identify why the queue size is unusually high, and to reduce it?
A. Temporarily increase the Auto Scaling group’s desired value to 200. When the queue size has been reduced, reduce it to 50.
B. Analyze the application logs to identify possible reasons for message processing failure and resolve the cause for failures.
C. Create additional Auto Scaling groups, enabling the processing of the queue to be performed in parallel.
D. Analyze CloudTrail logs for Amazon SQS to ensure that the instances’ Amazon EC2 role has permission to receive messages from the queue.
333. You have a web application that is currently running on a collection of micro instance types in a single AZ behind a single load balancer. You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Auto Scaling group is running 64 micro instances. The web application is reading and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units. Your customers are complaining that they are experiencing long load times when viewing your website. You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned Read and write Capacity Units and there is no throttling. How do you scale your service to improve the load times and ensure the principles of high availability?
A. Change your Auto Scaling group configuration to include multiple AZs.
B. Change your Auto Scaling group configuration to include multiple AZs, and increase the number of Read Capacity Units in your DynamoDB table by a factor of three, because you will need to be calling DynamoDB from three AZs.
C. Add a second load balancer to your Auto Scaling group so that you can support more inbound connections per second.
D. Change your Auto Scaling group configuration to use larger instances and include multiple AZ’s instead of one.
334. Your social media marketing application has a component written in Ruby running on AWS Elastic Beanstalk. This application component posts messages to social media sites in support of various marketing campaigns. Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future efforts. You have already developed a new application component to interface with the social media site APIs in order to read the replies. Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analysis of historical data?
A. Deploy the new application component in an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) Instances, read the data from the social media sites, store it with Amazon Elastic Block Store, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics.
B. Deploy the new application component as an Elastic Beanstalk application, read the data from the social media sites, store it in Amazon DynamoDB, and use Apache Hive with Amazon Elastic MapReduce for analytics.
C. Deploy the new application component in an Auto Scaling group of Amazon EC2 instances, read the data from the social media sites, store it in Amazon Glacier, and use AWS Data Pipeline to publish it to Amazon Redshift for analytics.
D. Deploy the new application component as an Amazon Elastic Beanstalk application, read the data from the social media site, store it with Amazon Elastic Block Store, and use Amazon Kinesis to stream the data to Amazon CloudWatch for analytics.
335. A web application is being actively developed by multiple development teams within your organization. You have created a self-service portal-driven by AWS CloudFormation and the AWS APIs-that allows testers to select a code branch containing a new feature that they want to test. The portal will then provision an environment and deploy the right branch of code to it. Recently you have noticed that a large number of environments contain broken builds. You want to introduce a set of automated browser tests that are executed on a new environment before the environment is available to the tester. This way a tester does not waste time trying to test new features in a broken environment. Select a suitable way to implement such a feature into the existing self-service portal:
A. Specify your automated tests in the “tests” section of the AWS CloudFormation template. AWS CloudFormation will then execute the tests on your behalf as part of the environment build.
B. Configure a centralized test server that hosts an automated browser testing framework. Use an AWS CloudFormation custom resource to notify the centralized test server, via an Amazon SNS topic, that a new environment has been initialized. The centralized test server can then execute the tests before sending the results back to the AWS CloudFormation service.
C. Pass the test scripts to the cfn-init service via the “tests” section of the AWS::CloudFormation::Init metadata. Cfn-init will then execute these tests and return the result to the AWS CloudFormation service.
D. Configure a centralized test server that hosts an automated browser testing framework. Include an Amazon SES email resource under the outputs section of your AWS CloudFormation template. This we send an email to your centralized test server, informing it that the environment is ready for tests.
A. Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end. Launch an Amazon Redshift cluster, and point your application to its Java Database Connectivity (JDBC) endpoint.
B. Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer for your Amazon Redshift duster.
337. You are building an AWS CloudFormation template for a multi-tier web application. The user data of your Linux web server resource contains a complex script that can take a long time to run. Which techniques could you use to ensure that these servers are fully configured and running before attaching them to the load balancer? (Choose two.)
A. Launch your Linux servers from a nested stack that is called from within the load balancer resource in your AWS CloudFormation template.
B. Add an AWS CloudFormation Wait Condition that depends on the web server resource. When the UserData script finishes on the web servers, use curl to send a signal the Wait Condition at http://169.254.169.254/waithandle/.
C. Add an AWS CloudFormation wait Condition that depends on the web server resource. When the UserData script finishes on the web servers, use curl to signal to the Wait Condition pre-signed URL that they are ready.
D. In your AWS CloudFormation template, position the load balancer resource JSON block directly below your Linux server resource.
E. Add an AWS CloudFormation Wait Condition that depends on the web server resource. When the UserData script finishes on the web servers, use the command “cfn-signal” to signal that they are ready.
338. Customers have recently been complaining that your web application has randomly stopped responding. During a deep dive of your logs, the team has discovered a major bug in your new Java web application. This bug is causing a memory leak that eventually causes the application to crash. Your web application runs on Amazon EC2 and was built with AWS CloudFormation. Which techniques should you use to help detect these problems faster, as well as help eliminate the server’s unresponsiveness? (Choose two.)
A. Update your AWS CloudFormation configuration and enable a CustomResource that uses cfn signal to detect memory leaks.
B. Update your CloudWatch metric granularity config for all Amazon EC2 memory metrics to support five- second granularity. Create a CloudWatch alarm that triggers an Amazon SNS notification to page your team when the application memory becomes too large.
C. Update your AWS CloudFormation configuration to take advantage of Auto Scaling groups. Configure an Auto Scaling group policy to trigger off your custom CloudWatch metrics.
D. Create a custom CloudWatch metric that you push your JVM memory usage to. Create a Cloudwatch alarm that triggers an Amazon SNS notification to page your team when the application memory usage becomes too large.
E. Update your AWS CloudFormation configuration to take advantage of CloudWatch metrics Agent. Configure the CloudWatch Metrics Agent to monitor memory usage and trigger an Amazon SNS alarm.
339. You have an ASP.NET web application running in Amazon Elastic Beanstalk. Your next version of the application requires a third-party Windows Installer package to be installed on the instance on first boot and before the application launches. Which options are possible? (Choose two.)
A. In the application’s Global.asax file, run msiexec.exe to install the package using Process.Start() in the Application Start event handler.
B. In the source bundle’s .ebextensions folder, create a file with a .config extension. In the file, under the “packages” section and “msi” package manager, include the package’s URL.
C. Launch a new Amazon EC2 instance from the AMI used by the environment. Log into the instance, install the package and run sysprep. Create a new AMI. Configure the environment to use the new AMI.
D. In the environment’s configuration, edit the instances configuration and add the package’s URL to the “Packages” section.
E. In the source bundle’s .ebextensions folder, create a “Packages” folder. Place the package in the folder.
340. For AWS Auto Scaling, what is the first transition state an instance enters after leaving steady state when scaling in due to health check failure or decreased load?