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| Exam Code/Number: | 070-767Join the discussion |
| Exam Name: | Implementing a SQL Data Warehouse |
| Certification: | Microsoft |
| Question Number: | 170 |
| Publish Date: | Oct 19, 2026 |
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Total 170 questions
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.

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
You have Microsoft Azure SQL Database instances named DB1 and DB2.
The databases are hosted in different regions and contain different tables.
You must allow Transact-SQL queries in DB1 to access data in DB2.
You need to configure DB1 to ensure that you can run queries that join tables from DB1 and DB2.
What should you do?
You have a data warehouse.
You need to move a table named Fact.ErrorLog to a new filegroup named LowCost.
Which three 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.

Explanation

Step 1: Add a filegroup named LowCost to the database.
First create a new filegroup.
Step 2:
The next stage is to go to the 'Files' page in the same Properties window and add a file to the filegroup (a filegroup always contains one or more files) Step 3:
To move a table to a different filegroup involves moving the table's clustered index to the new filegroup.
While this may seem strange at first this is not that surprising when you remember that the leaf level of the clustered index actually contains the table data. Moving the clustered index can be done in a single statement using the DROP_EXISTING clause as follows (using one of the AdventureWorks2008R2 tables as an example) :
CREATE UNIQUE CLUSTERED INDEX PK_Department_DepartmentID
ON HumanResources.Department(DepartmentID)
WITH (DROP_EXISTING=ON,ONLINE=ON) ON SECONDARY
This recreates the same index but on the SECONDARY filegroup.
References:
http://www.sqlmatters.com/Articles/Moving%20a%20Table%20to%20a%20Different%20Filegroup.aspx
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 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 increase the relative weights for Address Line 1 of the matching policy.
Does this meet the goal?
You are the administrator of a database that hosts tables for a data warehouse.
The table named Fact1 has data from the start of calendar year 2011 through the end of 2017. The table contains at least 20 million rows of data for each year. You create the table by running the following Transact-SQL statement:
CREATE PARTITION FUNCTION PartitionFunc_Faet1(SMALLINT) AS RANGE LEFT FOR VALUES(2012,2013,2014,2015) You need to modify the partition function so that rows for each calendar year are in a separate partition. You must also move all data prior to 2014 to another table named Fact1.old.

Explanation
SET
2102
Merge
Split
2016