[2018-3-16] Lead2pass Microsoft 70-767 Latest Exam Dumps Download (248-255)

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QUESTION 248
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

QUESTION 249
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:

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.
References: https://blogs.msdn.microsoft.com/sqlcat/2013/09/16/top-10-best-practices-for-building-a-large-scale-relational-data-warehouse/

QUESTION 250
You have a Microsoft SQL Server Integration Services (SSIS) package that includes the control flow shown in the following diagram.

2501

You need to choose the enumerator for the Foreach Loop container.

Which enumerator should you use?

A.    Foreach SMO Enumerator
B.    Foreach Azure Blob Enumerator
C.    Foreach NodeList Enumerator
D.    Foreach ADO Enumerator

Answer: D
Explanation:
Use the Foreach ADO enumerator to enumerate rows in tables. For example, you can get the rows in an ADO recordset.

QUESTION 251
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 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.
References: https://www.timmitchell.net/post/2016/01/18/getting-started-with-change-tracking-in-sql-server/

QUESTION 252
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:
2521
You need to optimize performance.

Solution: You run the following Transact-SQL statement:
2522
Does the solution meet the goal?

A.    Yes
B.    No

Answer: A
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

QUESTION 253
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:
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.

QUESTION 254
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 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
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview

QUESTION 255
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.
2551

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?

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: H
Explanation:
The Parallel Loop Task is an SSIS Control Flow task, which can execute multiple iterations of the standard Foreach Loop Container concurrently.
References: http://www.cozyroc.com/ssis/parallel-loop-task

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