NEW QUESTION NO: 15
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stores information about products, sales, and orders for a manufacturing company. The instance contains a database that has two tables named SalesOrderHeader and SalesOrderDetail. SalesOrderHeader has 500,000 rows and SalesOrderDetail has 3,000,000 rows.
Users report performance degradation when they run the following stored procedure:

You need to optimize performance.
Solution: You run the following Transact-SQL statement:

Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation/Reference:
Explanation:
You can specify the sample size as a percent. A 5% statistics sample size would be helpful.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables- statistics

NEW QUESTION NO: 16
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a Microsoft SQL Server Integration Services (SSIS) projects. The project consists of several packages that load data warehouse tables.
You need to extend the control flow design for each package to use the following control flow while minimizing development efforts and maintenance:

Solution: You add the control flow to a control flow package part. You add an instance of the control flow package part to each data warehouse load package.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation/Reference:
Explanation:
A package consists of a control flow and, optionally, one or more data flows. You create the control flow in a package by using the Control Flow tab in SSIS Designer.
References: https://docs.microsoft.com/en-us/sql/integration-services/control-flow/control-flow

NEW QUESTION NO: 17
DRAG DROP
You have a Microsoft SQL Server Integration Services (SSIS) package that loads data into a data warehouse each night from a transactional system. The package also loads data from a set of Comma- Separated Values (CSV) files that are provided by your company's finance department.
The SSIS package processes each CSV file in a folder. The package reads the file name for the current file into a variable and uses that value to write a log entry to a database table.
You need to debug the package and determine the value of the variable before each file is processed.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

Answer: 

Explanation/Reference:
Explanation:
You debug control flows.
The Foreach Loop container is used for looping through a group of files. Put the breakpoint on it.
The Locals window displays information about the local expressions in the current scope of the Transact- SQL debugger.
References: https://docs.microsoft.com/en-us/sql/integration-services/troubleshooting/debugging-control- flow
http://blog.pragmaticworks.com/looping-through-a-result-set-with-the-foreach-loop

NEW QUESTION NO: 18
DRAG DROP
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 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 partitioning for the Fact.Ticket table.
Which three actions should you perform in sequence? To answer, drag the appropriate actions to the correct locations. Each action may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: More than one combination of answer choices is correct. You will receive credit for any of the correct combinations you select.
Select and Place:

Answer: 

Explanation/Reference:
Explanation:
From scenario: - 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.
The detailed steps for the recurring partition maintenance tasks are:
SWITCH OUT: Create a staging table and then switch a partition between the history table and the

staging table using the ALTER TABLE (Transact-SQL) statement with the SWITCH PARTITION argument
MERGE RANGE: Merge the empty partition 1 with partition 2 using the ALTER PARTITION

FUNCTION (Transact-SQL) with MERGE RANGE
SPLIT RANGE: Create a new empty partition using the ALTER PARTITION FUNCTION (Transact-

SQL) with SPLIT RANGE.
References: https://docs.microsoft.com/en-us/sql/relational-databases/tables/manage-retention-of- historical-data-in-system-versioned-temporal-tables

NEW QUESTION NO: 19
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stores information about products, sales, and orders for a manufacturing company. The instance contains a database that has two tables named SalesOrderHeader and SalesOrderDetail. SalesOrderHeader has 500,000 rows and SalesOrderDetail has 3,000,000 rows.
Users report performance degradation when they run the following stored procedure:

You need to optimize performance.
Solution: You run the following Transact-SQL statement:

Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation/Reference:
Explanation:
Microsoft recommend against specifying 0 PERCENT or 0 ROWS in a CREATE STATISTICS..WITH SAMPLE statement. When 0 PERCENT or ROWS is specified, the statistics object is created but does not contain statistics data.
References: https://docs.microsoft.com/en-us/sql/t-sql/statements/create-statistics-transact-sql

NEW QUESTION NO: 20
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 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/Reference:
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 NO: 21
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?
A. Lookup transformation
B. Merge transformation
C. Merge Join transformation
D. MERGE statement
E. Union All transformation
F. Balanced Data Distributor transformation
G. Sequential container
H. Foreach Loop container
Answer: D
Explanation/Reference:
Explanation:
In the current release of SQL Server Integration Services, the SQL statement in an Execute SQL task can contain a MERGE statement. This MERGE statement enables you to accomplish multiple INSERT, UPDATE, and DELETE operations in a single statement.
References: https://docs.microsoft.com/en-us/sql/integration-services/control-flow/merge-in-integration- services-packages

NEW QUESTION NO: 22
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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/Reference:
Explanation:
We must check for deleted rows, not just updates rows.
References: https://www.timmitchell.net/post/2016/01/18/getting-started-with-change-tracking-in-sql- server/

NEW QUESTION NO: 23
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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
Explanation/Reference:
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
Note: To pause a database:
1. Open the Azure portal and open your database. Notice that the Status is Online.

2. To suspend compute and memory resources, click Pause, and then a confirmation message appears.
Click yes to confirm or no to cancel.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute- overview
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute- portal#pause-compute-bk

NEW QUESTION NO: 24
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stores information about products, sales, and orders for a manufacturing company. The instance contains a database that has two tables named SalesOrderHeader and SalesOrderDetail. SalesOrderHeader has 500,000 rows and SalesOrderDetail has 3,000,000 rows.
Users report performance degradation when they run the following stored procedure:

You need to optimize performance.
Solution: You run the following Transact-SQL statement:

Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation/Reference:
Explanation:
100 out of 500,000 rows is a too small sample size.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables- statistics

NEW QUESTION NO: 25
HOTSPOT
You create a Microsoft SQL Server Integration Services (SSIS) package as shown in the SSIS Package exhibit. (Click the Exhibit button.)

The package uses data from the Products table and the Prices table. Properties of the Prices source are shown in the OLE DB Source Editor exhibit (Click the Exhibit Button.) and the Advanced Editor for Prices exhibit (Click the Exhibit button.)


You join the Products and Prices tables by using the ReferenceNr column.
You need to resolve the error with the package.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

Answer: 

Explanation/Reference:
Explanation:
There are two important sort properties that must be set for the source or upstream transformation that supplies data to the Merge and Merge Join transformations:
The Merge Join Transformation requires sorted data for its inputs.
The IsSorted property of the output that indicates whether the data has been sorted. This property must

be set to True.
The SortKeyPosition property of output columns that indicates whether a column is sorted, the column's

sort order, and the sequence in which multiple columns are sorted. This property must be set for each column of sorted data.
If you do not use a Sort transformation to sort the data, you must set these sort properties manually on the source or the upstream transformation.
References: https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/sort-data- for-the-merge-and-merge-join-transformations