Online Access Free 070-767 Practice Test

You have a Microsoft SQL Server Integration Services (SSIS) package that contains a Data Flow task as shown in the Data Flow exhibit. (Click the Exhibit button.)

You install Data Quality Services (DQS) on the same server that hosts SSIS and deploy a knowledge base to manage customer email addresses. You add a DQS Cleansing transform to the Data Flow as shown in the Cleansing exhibit. (Click the Exhibit button.)

You create a Conditional Split transform as shown in the Splitter exhibit. (Click the Exhibit button.)

You need to split the output of the DQ5 Cleansing task to obtain only Correct values from the EmailAddress column. For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Correct Answer:

You have a data quality project that focuses on the Products catalog for the company. The data includes a product reference number.
The product reference should use the following format: Two letters followed by an asterisk and then four or five numbers. An example of a valid number is XX*55522. Any reference number that does not conform to the format must be rejected during the data cleansing.
You need to add a Data Quality Services (DQS) domain rule in the Products domain.
Which rule should you use?

• A.value matches pattern [a-zA-Z][a-zA-Z]*[0-9][0-9] [0-9][0-9] [0-9]?
• B.value matches pattern AZ[*]1234[5]
• C.value matches pattern ZA*9876[5]
• D.value matches regular expression AZ[*]1234[5]

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.
Solution: You create one columnstore index that includes the [Order Date Key], [Tax Amount], and [Total Excluding Tax] columns.
Does the solution meet the goal?

• A.Yes
• B.No

You have a Microsoft SQL Server Data Warehouse instance that uses SQL Server Analysis Services (SSAS).
The instance has a cube containing data from an on-premises SQL Server instance. A measure named Measure1 is configured to calculate the average of a column.
You plan to change Measure1 to a full additive measure and create a new measure named Measure2 that evaluates data based on the first populated row.
You need to configure the measures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1:
The default setting is SUM (fully additive).
Box 2:
FirstNonEmpty: The member value is evaluated as the value of its first child along the time dimension that contains data.
References:
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/define-semiadditive-behavior

You need to build a knowledge base in Data Quality Services (DQS).
You need to ensure that the data is validated by using a third-party data source before DQS processes the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer:

Explanation

Building a DQS knowledge base involves the following processes and components:
Step 1: Perform Knowledge Discovery
A computer-assisted process that builds knowledge into a knowledge base by processing a data sample Step 2: Perform Domain Management An interactive process that enables the data steward to verify and modify the knowledge that is in knowledge base domains, each of which is associated with a data field. This can include setting field-wide properties, creating rules, changing specific values, using reference data services, or setting up term-based or cross-field relationships.
Step 3: Configure reference Data Services
A process of domain management that enables you to validate your data against data maintained and guaranteed by a reference data provider.
Step 4: Configure a Matching Policy
A policy that defines how DQS processes records to identify potential duplicates and non-matches, built into the knowledge base in a computer-assisted and interactive process.
References: https://docs.microsoft.com/en-us/sql/data-quality-services/dqs-knowledge-bases-and-domains