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Question 1:

You are designing a data warehouse with two fact tables. The first table contains sales per month and the second table contains orders per day.

Referential integrity must be enforced declaratively.

You need to design a solution that can join a single time dimension to both fact tables.

What should you do?

A. Create a view on the sales table.

B. Partition the fact tables by day.

C. Create a surrogate key for the time dimension.

D. Change the level of granularity in both fact tables to be the same.

Correct Answer: D


Question 2:

You are developing a SQL Server Integration Services (SSIS) package that imports data into a data warehouse hosted on SQL Azure.

The package uses a Foreach container to process text files found in a folder. The package must be deployed to a single server by using the Project Deployment model. Multiple SQL Server Agent jobs call the package. Each job is executed

on a different schedule.

Each job passes a different folder path to the package.

You need to configure the package to accept the folder path from each job.

Which package configuration should you use?

A. Parent Package Variable

B. XML Configuration File

C. Environment Variable

D. .dtsConfig file

E. Registry Entry

Correct Answer: C


Question 3:

You develop a SQL Server Integration Services (SSIS) package in a project by using the Project Deployment Model. It is regularly executed within a multi-step SQL Server Agent job.

You make changes to the package that should improve performance.

You need to establish if there is a trend in the durations of the next 10 successful executions of the package. You need to use the least amount of administrative effort to achieve this goal.

What should you do?

A. After 10 executions, in SQL Server Management Studio, view the Execution Performance subsection of the All Executions report for the package.

B. Configure the package to send you an email upon completion that includes information about the duration of the package. After 10 executions, view the emails.

C. Enable logging to the Application Event Log in the package control flow for the OnInformation event. After 10 executions, view the Application Event Log.

D. Enable logging to the Application Event Log in the package control flow for the OnPostExecute event. After 10 executions, view the Application Event Log.

Correct Answer: A

Explanation: The All Executions Report displays a summary of all Integration Services executions that have been performed on the server. There can be multiple executions of the sample package. Unlike the Integration Services Dashboard report, you can configure the All Executions report to show executions that have started during a range of dates. The dates can span multiple days, months, or years.

The report displays the following sections of information.

*

Filter

Shows the current filter applied to the report, such as the Start time range.

*

Execution Information

Shows the start time, end time, and duration for each package execution. You can view a list of the parameter values that were used with a package execution, such as values that were passed to a child package using the Execute Package

task.


Question 4:

You are developing a SQL Server Integration Services (SSIS) package.

The package sources data from an HTML web page that lists product stock levels.

You need to implement a data flow task that reads the product stock levels from the HTML web page.

Which data flow sources should you use? Select Two

A. Raw File source

B. XML source

C. Custom source component

D. Flat File source

E. script component

Correct Answer: CE


Question 5:

You are preparing to install SQL Server 2016 Master Data Services (MDS).

You need to ensure that the database requirements are met.

What should you install?

A. Microsoft SharePoint Foundation 2010 SP1

B. SQL Server 2016 Enterprise (64-bit) x64 on the database server

C. SQL Server 2016 Data Center (64-bit) x64 on the database server

D. SQL Server 2008 Enterprise (64-bit) x64 on the database server

Correct Answer: B

*

Master Data Services is a new feature introduced in SQL Server 2008 R2 and further enhanced in SQL Server 2016.

*

SQL Server 2016 Enterprise features include Master Data Services:

Note:

* Microsoft SQL Server Master Data Services is a Master Data Management (MDM) product from Microsoft, which will ship as a part of the Microsoft SQL Server database.Originally code-named Bulldog, Master Data Services is the rebranding of the Stratature MDM product titled EDM, which Microsoft acquired in June 2007. Master Data Services is architecturally similar to EDM, with increased integration with other Microsoft applications as well as some new features. Master Data Services first shipped with Microsoft SQL Server 2008 R2.


70-767 PDF Dumps70-767 Study Guide70-767 Exam Questions

Question 6:

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.

Correct Answer: A

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 7:

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

Correct Answer: B

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


Question 8:

You are implementing a Microsoft SQL Server data warehouse with a multi-dimensional data model.

Orders are stored in a table named Factorder. The addresses that are associated with all orders are stored in a fact table named FactAddress. A key in the FoctAddress table specifies the type of address for an order.

You need to ensure that business users can examine the address data by either of the following:

shipping address and billing address

shipping address or billing address type Which data model should you use?

A.

star schema

B.

snowflake schema

C.

conformed dimension

D.

slowly changing dimension (SCD)

E.

fact table

F.

semi-additive measure

G.

non-additive measure

H.

dimension table reference relationship

Correct Answer: H


Question 9:

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 a Microsoft SQL server that has Data Quality Services (DQS) installed.

You need to review the completeness and the uniqueness of the data stored in the matching policy.

Solution: You create a matching rule.

Does this meet the goal?

A. Yes

B. No

Correct Answer: B

Use a matching rule, and use completeness and uniqueness data to determine what weight to give a field in the matching process.

If there is a high level of uniqueness in a field, using the field in a matching policy can decrease the matching results, so you may want to set the weight for that field to a relatively small value. If you have a low level of uniqueness for a column,

but low completeness, you may not want to include a domain for that column.

References: https://docs.microsoft.com/en-us/sql/data-quality-services/create-a-matching-policy? view=sql-server-2017


Question 10:

You are developing a data flow to load sales data into a fact table. In the data flow, you configure a Lookup Transformation in full cache mode to look up the product data for the sale.

The lookup source for the product data is contained in two tables.

You need to set the data source for the lookup to be a query that combines the two tables.

Which page of the Lookup Transformation Editor should you select to configure the query? To answer, select the appropriate page in the answer area.

Hot Area:

Correct Answer:


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