What does this exam validate?

SQL data warehouse implementation.

You are developing a Microsoft SQL Server Data Warehouse. You use SQL Server Integration Services (SSIS) packages to import files from a Microsoft Azure blob storage to the data warehouse. You plan to use multiple SQL Server instances and SSIS Scale Out to complete the workload faster. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct solution is worth one point.

Correct Answer: Install the SSIS Scale Out Worker feature on two servers. Install the Scale Out Master role feature on one server.

You have Microsoft Azure SQL Database instances named DB1 and DB2. The databases are hosted in different regions and contain different tables. You must allow Transact-SQL queries in DB1 to access data in DB2. You need to configure DB1 to ensure that you can run queries that join tables from DB1 and DB2. What should you do?

Correct Answer: Configure a linked server connection on DB1 to access DB2 remotely. Configure the linked server RPC Out option to TRUE.

You are managing the domain for a knowledge base. The table named Table1 is mapped to a single domain named Domain1. New distinct values have appeared in Table1. Some of the values are the result of data entry errors. You need to update the knowledge base with the new values and exclude data entry errors. You need to add the new knowledge base information and retain the corrections made within the knowledge base. What should you do?

Correct Answer: Perform knowledge discovery. Map Domain1 to Table1. Use the Manage Domain Values tab to evaluate new distinct values.

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series. You have a Microsoft SQL Server data warehouse instance that supports several client applications. The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading. All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical. You have the following requirements: ✑ Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible. ✑ Partition the Fact.Order table and retain a total of seven years of data. ✑ Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed. ✑ Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables. ✑ Incrementally load all tables in the database and ensure that all incremental changes are processed. ✑ Maximize the performance during the data loading process for the Fact.Order partition. ✑ Ensure that historical data remains online and available for querying. ✑ Reduce ongoing storage costs while maintaining query performance for current data. You are not permitted to make changes to the client applications. You need to implement the data partitioning strategy. How should you partition the Fact.Order table?

Correct Answer: Create 730 partitions.

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series. You have a Microsoft SQL Server data warehouse instance that supports several client applications. The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading. All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical. You have the following requirements: ✑ Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible. ✑ Partition the Fact.Order table and retain a total of seven years of data. ✑ Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed. Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables. ✑ Incrementally load all tables in the database and ensure that all incremental changes are processed. ✑ Maximize the performance during the data loading process for the Fact.Order partition. ✑ Ensure that historical data remains online and available for querying. ✑ Reduce ongoing storage costs while maintaining query performance for current data. You are not permitted to make changes to the client applications. You need to optimize the storage for the data warehouse. What change should you make?

Correct Answer: Move historical data to new tables on lower-cost storage.

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are a database administrator for an e-commerce company that runs an online store. The company has three databases as described in the following table. You plan to load at least one million rows of data each night from DB1 into the OnlineOrder table. You must load data into the correct partitions using a parallel process. You create 24 Data Flow tasks. You must place the tasks into a component to allow parallel load. After all of the load processes compete, the process must proceed to the next task. You need to load the data for the OnlineOrder table. What should you use?

Correct Answer: Merge Join transformation

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table. Each day, you publish a Microsoft Excel workbook that contains a list of product names and current prices to an external website. Suppliers update pricing information in the workbook. Each supplier saves the workbook with a unique name. Each night, the Products table is deleted and refreshed from MDS by using a Microsoft SQL Server Integration Services (SSIS) package. All files must be loaded in sequence. You need to add a data flow in an SSIS package to perform the Excel files import in the data warehouse. What should you use?

Correct Answer: Merge Join transformation

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table. Each week, you import a product catalog from a partner company to a staging table in DB2. You need to create a stored procedure that will update the staging table by inserting new products and deleting discontinued products. What should you use?

Correct Answer: Lookup transformation

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table. Each day, data from the table OnlineOrder in DB2 must be exported by partition. The tables must not be locked during the process. You need to write a Microsoft SQL Server Integration Services (SSIS) package that performs the data export. What should you use?

Correct Answer: Lookup transformation

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table. Product prices are updated and are stored in a table named Products on DB1. The Products table is deleted and refreshed each night from MDS by using a Microsoft SQL Server Integration Services (SSIS) package. None of the data sources are sorted. You need to update the SSIS package to add current prices to the Products table. What should you use?

Correct Answer: MERGE statement

You have a Microsoft SQL Server Integration Services (SSIS) package that includes the control flow shown in the following diagram. You need to choose the enumerator for the Foreach Loop container. Which enumerator should you use?

Correct Answer: Foreach ADO.Net Schema Rowset Enumerator

You have a data quality project that focuses on the Products catalog for the company. The data includes a product reference number. The product reference should use the following format: Two letters followed by an asterisk and then four or five numbers. An example of a valid number is XX*55522. Any reference number that does not conform to the format must be rejected during the data cleansing. You need to add a Data Quality Services (DQS) domain rule in the Products domain. Which rule should you use?

Correct Answer: value matches regular expression AZ[*]1234[5]

What does this exam validate?

SQL data warehouse implementation.

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Implementing a SQL Data Warehouse

Implement SQL data warehouse solutions at enterprise scale.

4.8★★★★★(334 ratings)

19,492 studentsIntermediate

Learn to build and support SQL Server data warehouse environments that organize large datasets for analysis. The exam emphasizes warehouse design, integration, and analytics-ready data preparation. This certification supports professionals who deliver business intelligence foundations. It helps organizations turn operational data into structured assets for reporting and decision-making.

What you'll learn

Design warehouse models- Support ETL processes- Organize analytic data- Improve reporting readiness- Manage warehouse workloads

70-767

Lectures1

Quizzes0

Duration30 week

Students19,492

$20.00

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