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Question 1:

You are the data steward for a Business Intelligence project.

You must identify duplicate rows stored in a SQL Server table and output discoveries to a CSV file. A Data Quality Services (DQS) knowledge base has been created to support this project.

You need to produce the CSV file with the least amount of development effort.

What should you do?

A. Create an Integration Services package and use a Fuzzy Lookup transform.

B. Create a Master Data Services (MDS) model.

C. Create a Data Quality Project.

D. Create an Integration Services package and use a DQS Cleansing transform.

E. Create an Integration Services package and use a Fuzzy Grouping transform.

Correct Answer: C

Ref: http://msdn.microsoft.com/en-us/library/hh213052.aspx


Question 2:

You install a SQL Server 2016 database engine instance on a production server. A month later, you install SQL Server 2016 Integration Services (SSIS).

You must develop an SSIS project and deploy it to the server by using the Project Deployment model.

Operations Log records that are outside the configured retention period must be cleaned automatically.

You need to create the SSIS catalog on the production server.

What should you do? (Each correct answer presents part of the solution. Choose all that apply.)

A. Enable XP Command Shell.

B. Enable CLR Integration.

C. Enable OLE Automation.

D. Start the SQL Server Browser service.

E. Enable Cross Database Ownership Chaining

F. Start the SQL Server Agent service

G. Enable Ad Hoc Remote Queries.

Correct Answer: BF

Explanation: Ref: http://msdn.microsoft.com/en-us/library/gg471509(v=sql.110).aspx


Question 3:

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

To process complex scientific data originating from a SQL Azure database, a custom task component is added to the project.

You need to ensure that the custom component is deployed on a test environment correctly.

What should you do?

A. Add an OnError event handler to the SSIS project.

B. Open a command prompt and run the gacutil command.

C. Configure the SSIS solution to use the Project Deployment Model.

D. Open a command prompt and run the dtexec /dumperror /conn command.

E. Configure the output of a component in the package data flow to use a data tap.

F. Open a command prompt and execute the package by using the SQL Log provider and running the dtexecui.exe utility.

G. Open a command prompt and run the dtexec /rep /conn command.

H. Run the dtutil command to deploy the package to the SSIS catalog and store the configuration in SQL Server.

I. Use an msi file to deploy the package on the server.

J. Open a command prompt and run the dtutil /copy command.

K. Create a reusable custom logging component and use it in the SSIS project.

Correct Answer: B

Reference: http://msdn.microsoft.com/en-us/library/ms403356.aspx


Question 4:

You are developing a SQL Server Integration Services (SSIS) project by using the Project Deployment Model. All packages in the project must log custom messages.

You need to produce reports that combine the custom log messages with the system- generated log messages. What should you do?

A. Use an event handler for OnError for the package.

B. Use an event handler for OnError for each data flow task.

C. Use an event handler for OnTaskFailed for the package.

D. View the job history for the SQL Server Agent job.

E. View the All Messages subsection of the All Executions report for the package.

F. Store the System::SourceID variable in the custom log table.

G. Store the System::ServerExecutionID variable in the custom log table.

H. Store the System::ExecutionInstanceGUID variable in the custom log table.

I. Enable the SSIS log provider for SQL Server for OnError in the package control flow.

J. Enable the SSIS log provider for SQL Server for OnTaskFailed in the package control flow,

K. Deploy the project by using dtutil.exe with the /COPY DTS option.

L. Deploy the project by using dtutil.exe with the /COPY SQL option.

M. Deploy the .ispac file by using the Integration Services Deployment Wizard.

N. Create a SQL Server Agent job to execute the SSISDB.catalog.validate_project stored procedure.

O. Create a SQL Server Agent job to execute the SSISDB.catalog.validate_package stored procedure.

P. Create a SQL Server Agent job to execute the SSISDB.catalog.create_execution and SSISDB.catalog.start_execution stored procedures.

Q. Create a table to store error information. Create an error output on each data flow destination that writes OnError event text to the table.

R. Create a table to store error information. Create an error output on each data flow destination that writes OnTaskFailed event text to the table.

Correct Answer: G


Question 5:

You are implementing a SQL Server Integration Services (SSIS) package that loads data hosted in a SQL Azure database into a data warehouse. The source system contains redundant or inconsistent data. When the package finds invalid

data, the row containing the invalid data must be omitted but it must also be written to a text file for further analysis.

You need to establish the best technique to log these invalid rows while keeping the amount of development effort to a minimum.

What should you do?

A. Add an OnError event handler to the SSIS project.

B. Open a command prompt and execute the package by using the SQL Log provider and running the dtexecui.exe utility.

C. Use an msi file to deploy the package on the server.

D. Open a command prompt and run the gacutil command.

E. Run the dtutil command to deploy the package to the SSIS catalog and store the configuration in SQL Server.

F. Open a command prompt and run the dtutil /copy command.

G. Create a reusable custom logging component and use it in the SSIS project.

H. Configure the SSIS solution to use the Project Deployment Model.

I. Configure the output of a component in the package data flow to use a data tap.

J. Open a command prompt and run the dtexec /rep /conn command.

K. Open a command prompt and run the dtexec /dumperror /conn command.

Correct Answer: I

http://technet.microsoft.com/en-us/library/hh230989.aspx http://www.rafael-salas.com/2016/01/ssis-2016-quick-peek-to-data-taps.html http://msdn.microsoft.com/en-us/library/ms162820.aspx http://msdn.microsoft.com/en-us/library/ hh231187.aspx http://technet.microsoft.com/en-us/library/ms140223.aspx http://msdn.microsoft.com/en-us/library/jj655339.aspx


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Question 6:

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 source should you use?

A. Raw File source

B. XML source

C. Custom source component

D. Flat File source

Correct Answer: C


Question 7:

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. Join the two fact tables.

B. Merge the fact tables.

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

D. Partition the fact tables by day.

Correct Answer: D


Question 8:

You are designing an extract, transform, and load (ETL) solution that loads data into dimension tables. The ETL process involves many transformation steps.

You need to ensure that the design can provide:

Auditing information for compliance and business user acceptance Tracking and unique identification of records for troubleshooting and error correction

What should you do?

A. Create a SQL Common Language Runtime (SQLCLR) component that records all transformation steps in a Microsoft SharePoint list.

B. Create a version control repository for the transformation steps in Team Foundation Server (TFS).

C. Develop a custom data lineage solution.

D. Develop a Data Quality Services (DQS) solution.

Correct Answer: C


Question 9:

You are developing a Microsoft SQL Server Data Warehouse. You use SQL Server Integration Services (SSIS) packages to import files from a Microsoft Azure blob storage to the data warehouse.

You plan to use multiple SQL Server instances and SSIS Scale Out to complete the workload faster.

You must configure three SQL Server instances to run the SSIS package.

Which two actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. Install The SSIS Scale Out Worker feature on two servers. Install the Scale Out Master role feature on one server.

B. Deploy the SSIS project to the SSIS catalog only on the SQL Server which has the Scale Out Master role installed.

C. Install the SSIS Scale Out Worker feature on all three servers. Install the Scale Out Master role on one server.

D. Deploy the SSIS project to the SSIS catalog on all three SQL Servers in the SSIS Scale Out environment.

Correct Answer: AD


Question 10:

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 need to ensure that the queries complete as quickly as possible.

Solution: You create measure for the Fact.Order table. Does the solution meet the goal?

A. Yes

B. No

Correct Answer: B

You should use a columnstore index.

Columnstore indexes are the standard for storing and querying large data warehousing fact tables. This index uses column-based data storage and query processing to achieve gains up to 10 times the query performance in your data warehouse over traditional row-oriented storage.

References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview?view=sql-server-2017


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