070-767 無料問題集「Microsoft Implementing a SQL Data Warehouse」

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.
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You configure a new matching policy Master Data Services (MDS) as shown in the following exhibit.

You review the Matching Results of the policy and find that the number of new values matches the new values.
You verify that the data contains multiple records that have similar address values, and you expect some of the records to match.
You need to increase the likelihood that the records will match when they have similar address values.
Solution: You decrease the minimum matching score of the matching policy.
Does this meet the goal?

You need to load data from a CSV file to a table.
How should you complete the Transact-SQL statement? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL segment 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: Each correct selection is worth one point.

You are designing the data warehouse to import data from three different environments. The sources for the data warehouse will be loaded every hour.
Scenario A includes tables in a Microsoft Azure SQL Database:
* Millions of updates and inserts occur per hour
* A periodic query of the current state of rows that have changed is needed.
* The change detection method needs to be able to ignore changes to some columns in a table.
* The source database is a member of an AlwaysOn Availability group.
Scenario B includes tables with status update changes:
* Tracking the duration between workflow statuses.
* All transactions must be captured, including before/after values for UPDATE statements.
* To minimize impact to performance, the change strategy adopted should be asynchronous.
Scenario C includes an external source database:
* Updates and inserts occur regularly.
* No changes to the database should require code changes to any reports or applications.
* Columns are added and dropped to tables in the database periodically. These schema changes should not require any interruption or reconfiguration of the change detection method chose.
* Data is frequently queried as the entire row appeared at a past point in time.
All tables have primary keys.
You need to load each data source. You must minimize complexity, disk storage, and disruption to the data sources and the existing data warehouse.
Which change detection method should you use for each scenario? To answer, drag the appropriate loading methods to the correct scenarios. Each source 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: Each correct selection is worth one point.

You manage the data warehouse for a large retail company. The company has many store locations. Each location runs their own independent sales systems. They report daily sales and receipt information to a central system every night. You plan to load data from all locations into a fact table named fact.Sales by using SQL Server Integration Services (SSIS) packages. You create the following Transact-SQL statement:

You need to select the columns for the primary key and clustered column key. The keys must meet the following requirements:
* Prevent duplicate rows from being entered by a single system.
* Allow for point lookups of a single sale.
* Minimize storage requirements for nonclustered indexes.
* Store rows in the order that they are inserted into the table.
How should you configure the keys? To answer, select the appropriate column type in the answer area.

After you answer a question in this section, you will NOT be able to return to it As a result, these questions will not appear in the review screen.
You are configuring a Microsoft SQL server named ow1 for a new data warehouse. The server contains eight drives and eight processor cores. Each drive uses a separate physical disk.
You need to configure storage for the tempdb database. The solution must minimize the amount of time it takes to process daily ETL jobs.
Solution: You configure eight files for the tenpdb database. You place the files on a drive that contains the operating system files.
Does this meet the goal?

You have the Microsoft SQL Server Integration Services (SSIS) package shown in the Control flow exhibit.
(Click the Exhibit button.)

The package iterates over 100 files in a local folder. For each iteration, the package increments a variable named loop as shown in the Expression task exhibit. (Click the Exhibit button) and then imports a file. The initial value of the variable loop is 0.

You suspect that there may be an issue with the variable value during the loop. You define a breakpoint on the Expression task as shown in the BreakPoint exhibit. (Click the Exhibit button.)

You need to check the value of the loop variable value.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your company uses Microsoft SQL Server to deploy a data warehouse to an environment that has a SQL Server Analysis Services (SSAS) instance. The data warehouse includes the Fact.Order table as shown in the following table definition. The table has no indexes.

You must minimize the amount of space that indexes for the Fact.Order table consume. You run the following queries frequently. Both queries must be able to use a columnstore index:

You need to ensure that the queries complete as quickly as possible.
SolutionvYou create two nonclustered indexes. The first includes the [Order Date Key] and [Tax Amount] columns. The second will include the [Order Date Key] and [Total Excluding Tax] columns.
Does the solution meet the goal?

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 implementing a Microsoft SQL Server data warehouse with a multi-dimensional data model.
When testing a pilot version of the data warehouse, business users observe that the number of products in stock is inaccurate. The number of products in stock always increases and represents the total number of products that have ever been in stock.
You need to correct the existing model and ensure that it reflects the number of in-stock products. You must not change the overall structure of the data model.
What should you do?

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 chokes, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
Contoso. Ltd. has a Microsoft SQL Server environment that includes SQL Server Integration Services (SSIS), a data warehouse, and SQL Server Analysis Services (SSAS) Tabular and multi-dimensional models.
The data warehouse stores data related to your company sales, financial transactions and financial budgets. All data for the data warehouse originates from the company s business financial system.
The data warehouse includes the following tables:

The company plans to use Microsoft Azure to store older records from the data warehouse. You must modify the database to enable the Stretch Database capability.
Users report that they are becoming confused about which city table to use for various queries. You plan to create a new schema named Dimension and change the name of the dbo.diamension_city table to Diamension.city. Data loss is not permissible, and you must not leave traces of the old table in the data warehouse.
The fact. Transaction table has measures named RawCost and Totaisale that calculate the wholesale cost of materials. You plan to create a measure that calculates the profit margin based on the two existing measures.
You must implement a partitioning scheme for the fact.Transaction table to move older data to less expensive storage. Each partition will store data for a single calendar year, as shown in the exhibit (Click the Exhibit button.) You must align the partitions.

You must improve performance for queries against the fact.Transaction table. You must implement appropriate indexes and enable the Stretch Database capability.
End of repeated scenario
You need to create the ProfitMargin measure for the fact. Transaction table.
How should you complete the MDX statement? To answer, select the appropriate MDX segments in the answer area.

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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an on-premises Microsoft SQL Server instance and a Microsoft Azure SQL Data Warehouse instance. You move data from the on-premises database to the data warehouse once each day by using a SQL Server Integration Services (SSIS) package.
You observe that the package no longer completes within the allotted time.
You need to determine which tasks are taking a long time to complete.
Solution: You run the package by using a SQL Server Agent job and use the Job Activity Monitor to view the progress of the job.
Does the solution meet the goal?