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NEW QUESTION 266
You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting. You need to pause the compute resources when the instance is not being used.
Solution: You use the Azure portal.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
NEW QUESTION 267
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 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:
– 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?
A. Partition the Fact.Order table, and move historical data to new filegroups on lower-cost storage.
B. Create new tables on lower-cost storage, move the historical data to the new tables, and then shrink the database.
C. Remove the historical data from the database to leave available space for new data.
D. Move historical data to new tables on lower-cost storage.
Answer: A
Explanation:
– Create the load staging table in the same filegroup as the partition you are loading.
– Create the unload staging table in the same filegroup as the partition you are deleteing.
From scenario: Data older than one year is accessed infrequently and is considered historical.
https://blogs.msdn.microsoft.com/sqlcat/2013/09/16/top-10-best-practices-for-building-a-large-scale-relational-data-warehouse/
NEW QUESTION 268
You have the following line-of-business solutions:
– ERP System
– Online WebStore
– Partner Extranet
One or more Microsoft SQL Server instances support each solution. Each solution has its own product catalog. You have an additional server that hosts SQL Server Integration Services (SSIS) and a data warehouse. You populate the data warehouse with data from each of the line-of-business solutions. The data warehouse does not store primary key values from the individual source tables. The database for each solution has a table named Products that stored product information. The Products table in each database uses a separate and unique key for product records. Each table shares a column named ReferenceNr between the databases. This column is used to create queries that involve more than once solution. You need to load data from the individual solutions into the data warehouse nightly. The following requirements must be met:
– If a change is made to the ReferenceNr column in any of the sources, set the value of IsDisabled to True and create a new row in the Products table.
– If a row is deleted in any of the sources, set the value of IsDisabled to True in the data warehouse.
Solution: Perform the following actions:
– Enable the Change Tracking feature for the Products table in the three source databases.
– Query the CHANGETABLE function from the sources for the deleted rows.
– Set the IsDIsabled column to True on the data warehouse Products table for the listed rows.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
We must check for updated rows, not just deleted rows.
https://www.timmitchell.net/post/2016/01/18/getting-started-with-change-tracking-in-sql-server/
NEW QUESTION 269
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 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?
A. Create 17,520 partitions.
B. Use a granularity of two days.
C. Create 2,557 partitions.
D. Create 730 partitions.
Answer: C
Explanation:
We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data. Maximize the performance during the data loading process for the Fact.Order partition.
NEW QUESTION 270
You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting. You need to pause the compute resources when the instance is not being used.
Solution: You use SQL Server Configuration Manager.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
To pause a SQL Data Warehouse database, use any of these individual methods:
– Pause compute with Azure portal
– Pause compute with PowerShell
– Pause compute with REST APIs
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview
NEW QUESTION 271
You have the following line-of-business solutions:
– ERP System
– Online WebStore
– Partner Extranet
One or more Microsoft SQL Server instances support each solution. Each solution has its own product catalog. You have an additional server that hosts SQL Server Integration Services (SSIS) and a data warehouse. You populate the data warehouse with data from each of the line-of-business solutions. The data warehouse does not store primary key values from the individual source tables. The database for each solution has a table named Products that stored product information. The Products table in each database uses a separate and unique key for product records. Each table shares a column named ReferenceNr between the databases. This column is used to create queries that involve more than once solution. You need to load data from the individual solutions into the data warehouse nightly. The following requirements must be met:
– If a change is made to the ReferenceNr column in any of the sources, set the value of IsDisabled to True and create a new row in the Products table.
– If a row is deleted in any of the sources, set the value of IsDisabled to True in the data warehouse.
Solution: Perform the following actions:
– Enable the Change Tracking for the Product table in the source databases.
– Query the CHANGETABLE function from the sources for the updated rows.
– Set the IsDisabled column to True for the listed rows that have the old ReferenceNr value.
– Create a new row in the data warehouse Products table with the new ReferenceNr value.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
We must check for deleted rows, not just updates rows.
https://www.timmitchell.net/post/2016/01/18/getting-started-with-change-tracking-in-sql-server/
NEW QUESTION 272
You have the following line-of-business solutions:
– ERP System
– Online WebStore
– Partner Extranet
One or more Microsoft SQL Server instances support each solution. Each solution has its own product catalog. You have an additional server that hosts SQL Server Integration Services (SSIS) and a data warehouse. You populate the data warehouse with data from each of the line-of-business solutions. The data warehouse does not store primary key values from the individual source tables. The database for each solution has a table named Products that stored product information. The Products table in each database uses a separate and unique key for product records. Each table shares a column named ReferenceNr between the databases. This column is used to create queries that involve more than once solution. You need to load data from the individual solutions into the data warehouse nightly. The following requirements must be met:
– If a change is made to the ReferenceNr column in any of the sources, set the value of IsDisabled to True and create a new row in the Products table.
– If a row is deleted in any of the sources, set the value of IsDisabled to True in the data warehouse.
Solution: Perform the following actions:
– Enable the Change Tracking for the Product table in the source databases.
– Query the cdc.fn_cdc_get_all_changes_capture_dbo_products function from the sources for updated rows.
– Set the IsDisabled column to True for rows with the old ReferenceNr value.
– Create a new row in the data warehouse Products table with the new ReferenceNr value.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
We must also handle the deleted rows, not just the updated rows.
https://solutioncenter.apexsql.com/enable-use-sql-server-change-data-capture/
NEW QUESTION 273
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?
A. value matches pattern ZA*9876[5]
B. value matches pattern AZ[*]1234[5]
C. value matches regular expression AZ[*]1234[5]
D. value matches pattern [a-zA-Z][a-zA-Z]*[0-9][0-9][0-9][0-9][0-9]
Answer: A
Explanation:
For a pattern matching rule:
– Any letter (A…Z) can be used as a pattern for any letter; case insensitive
– Any digit (0…9) can be used as a pattern for any digit
– Any special character, except a letter or a digit, can be used as a pattern for itself
– Brackets, [], define optional matching
This rule implies that the data will contain three parts: any three letters followed by a colon (:), which is again followed by any four digits.
NEW QUESTION 274
You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting. You need to pause the compute resources when the instance is not being used.
Solution: You use SQL Server Management Studio (SSMS).
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
To pause a SQL Data Warehouse database, use any of these individual methods:
– Pause compute with Azure portal
– Pause compute with PowerShell
– Pause compute with REST APIs
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview
NEW QUESTION 275
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