Exit demo 70-767 Implementing a SQL Data Warehouse PDF format · free preview

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Microsoft 70-767 - Questions & Answers

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Question 1

Single choice

You are designing a data warehouse for a software distribution business that stores sales by software title.
It stores sales targets by software category. Software titles are classified into subcategories and categories. Each software title is included in only a single software subcategory, and each subcategory is included in only a single category. The data warehouse will be a data source for an Analysis Services cube.

The data warehouse contains two fact tables:

factSales, used to record daily sales by software title factTarget, used to record the monthly sales targets by software category

Reports must be developed against the warehouse that reports sales by software title, category and subcategory, and sales targets.

You need to design the software title dimension. The solution should use as few tables as possible while supporting all the requirements.

What should you do?

Create three software tables, dimSoftware, dimSoftwareCategory, and dimSoftwareSubcategory and a fourth bridge table that joins software titles to their appropriate category and subcategory table records with foreign key constraints. Direct the cube developer to use key granularity attributes.

Create three software tables, dimSoftware, dimSoftwareCategory, and dimSoftwareSubcategory.
Connect factSales to all three tables and connect factTarget to dimSoftwareCategory with foreign key constraints. Direct the cube developer to use key granularity attributes.

Create one table, dimSoftware, which contains Software Detail, Category, and Subcategory columns.
Connect factSales to dimSoftware with a foreign key constraint.
Direct the cube developer to use a non-key granularity attribute for factTarget.

Create two tables, dimSoftware and dimSoftwareCategory. Connect factSales to dimSoftware and factTarget to dimSoftwareCategory with foreign key constraints. Direct the cube developer to use key granularity attributes.

Question 2

Single choice

You develop a SQL Server Integration Services (SSIS) package that imports SQL Azure data into a data warehouse every night.

The SQL Azure data contains many misspellings and variations of abbreviations. To import the data, a developer used the Fuzzy Lookup transformation to choose the closest-matching string from a reference table of allowed values. The number of rows in the reference table is very large.

If no acceptable match is found, the Fuzzy Lookup transformation passes a null value.

The current setting for the Fuzzy Lookup similarity threshold is 0.50.

Many values are incorrectly matched.

You need to ensure that more accurate matches are made by the Fuzzy Lookup transformation without degrading performance.

What should you do?

Change the Exhaustive property to True.

Change the similarity threshold to 0.55.

Change the similarity threshold to 0.40.

Increase the maximum number of matches per lookup.

Question 3

Single choice

To ease the debugging of packages, you standardize the SQL Server Integration Services (SSIS) package logging methodology.
The methodology has the following requirements: -Centralized logging in SQL Server
-Simple deployment
-Availability of log information through reports or T-SQL
-Automatic purge of older log entries
-Configurable log details

You need to configure a logging methodology that meets the requirements while minimizing the amount of deployment and development effort.

What should you do?

Deploy the package by using an msi file.

Use the gacutil command.

Create an OnError event handler.

Create a reusable custom logging component.

Use the dtutil /copy command.

Use the Project Deployment Wizard.

Run the package by using the dtexec /rep /conn command.

Add a data tap on the output of a component in the package data flow.

Run the package by using the dtexec /dumperror /conn command.

Run the package by using the dtexecui.exe utility and the SQL Log provider.

Deploy the package to the Integration Services catalog by using dtutil and use SQL Server to store the configuration.

Question 4

Single choice

You are using the Knowledge Discovery feature of the Data Quality Services (DQS) client application to modify an existing knowledge base.

In the mapping configuration, two of the three columns are mapped to existing domains in the knowledge base. The third column, named Team Type, does not yet have a domain. You need to complete the mapping of the Team Type column.

What should you do?

Add a column mapping for the Team Type column.

Map a composite domain to the source column.

Create a composite domain that includes the Team Type column.

Add a domain for the Team Type column.

Question 5

Multiple choice

You are installing the Data Quality Client on user desktops.

You need to ensure that the prerequisite software components are installed.

Which components must be present to meet this goal? (Each correct answer presents part of the solution.
Choose all that apply.)

SQL Server Management Studio

Internet Explorer 6.0 SP1 or later

Microsoft Silverlight 5

.NET Framework 3.5 SP1

.NET Framework 4.0

Microsoft Silverlight 4

SQL Server Data Tools

Question 6

Single choice

You are developing a SQL Server Integration Services (SSIS) package that imports data from a relational database to a data warehouse.

You are importing data from a relational table named Projects. The table has change data capture enabled on all columns.

You need to process only the most recent values from rows that have been inserted or updated since the previous execution of the package.

Which query should you use as the data source?

Option A

Option B

Option C

Option D

Question 7

Single choice

You are designing an enterprise star schema that will consolidate data from three independent data marts.
One of the data marts is hosted on SQL Azure.

Most of the dimensions have the same structure and content. However, the geography dimension is slightly different in each data mart.

You need to design a consolidated dimensional structure that will be easy to maintain while ensuring that all dimensional data from the three original solutions is represented.

What should you do?

Create a junk dimension for the geography dimension.

Implement change data capture.

Create a conformed dimension for the geography dimension.

Create three geography dimensions.

Question 8

Single choice

Occasionally a job that executes an existing SQL Server Integration Services (SSIS) package does not complete and nothing is processed.

You need to ensure that package logging occurs. Your solution must minimize deployment and development efforts.

What should you do?

Create a reusable custom logging component.

Use the gacutil command.

Use the Project Deployment Wizard.

Run the package by using the dtexec /rep /conn command.

Add a data tap on the output of a component in the package data flow.

Create an OnError event handler.

Use the dtutil /copy command.

Deploy the package by using an msi file.

Run the package by using the dtexec /dumperror /conn command.

Run the package by using the dtexecui.exe utility and the SQL Log provider.

Deploy the package to the Integration Services catalog by using dtutil and use SQL Server to store the configuration.

Question 9

Single choice

You are creating a SQL Server Integration Services (SSIS) package that implements a Type 3 Slowly Changing Dimension (SCD).

You need to add a task or component to the package that allows you to implement the SCD logic.

What should you use?

a Script component

an SCD component

an Aggregate component

a Merge component

Question 10

Single choice

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?

Create an Integration Services package and use a Data Profiling transform.

Create a custom .NET application based on the Knowledgebase class.

Create a data quality project.

Create a CLR stored procedure based on the Knowledgebase class.

Create a Master Data Services (MDS) business rule.

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