Microsoft Implementing a SQL Data Warehouse - 070-767 Exam Practice Test

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a Microsoft SQL Server data warehouse with a multi-dimensional data model.
When testing a pilot version of the data warehouse, business users observe that the number of products in stock is inaccurate. The number of products in stock always increases and represents the total number of products that have ever been in stock.
You need to correct the existing model and ensure that it reflects the number of in-stock products. You must not change the overall structure of the data model.
What should you do?

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a database named DB1 that has change data capture enabled.
A Microsoft SQL Server Integration Services (SSIS) job runs once weekly. The job loads changes from DB1 to a data warehouse by querying the change data capture tables.
A new version of that integration Services package is released that introduces several errors in the loading process.
You need to roll back the Integration Services package to the previous version. Which stored procedure should you execute?

You need to configure Microsoft SQL Server Integration Services (SSIS) for maximum insert performance.
The Integration Services package is configured as shown in the following exhibit.


Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

You are developing a Microsoft SQL Server Integration Services (SSIS) package that loads a data warehouse.
You need to inspect the data that is being processed by the package. What should you do first?

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:
* Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
* Partition the Fact.Order table and retain a total of seven years of data.
* Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
* Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
* Incrementally load all tables in the database and ensure that all incremental changes are processed.
* Maximize the performance during the data loading process for the Fact.Order partition.
* Ensure that historical data remains online and available for querying.
* Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to optimize data loading for the Dimension.Customer table.
Which three Transact-SQL segments should you use to develop the solution? To answer, move the appropriate Transact-SQL segments from the list of Transact-SQL segments to the answer area and arrange them in the correct order.
NOTE: You will not need all of the Transact-SQL segments.

Note: This question is part of a series of questions that present 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 scenarios is exactly the same in each question in this series.
You are developing a Master Data Management (MDM) solution for a company by using Microsoft SQL Server Integration Services (SSIS), SQL Server Master Data Services (MDS), and SQL Server Data Quality Services (DQS).
You have an MDS model named Geography that contains the entities described in the following table.

You define a domain-based attribute in the State entity that references the CountryRegion entity. You define another domain-based attribute in the city entity that references the State and CountryRegion entities. A single derived hierarchy named Geography supports navigation between the CountryRegion, State, and City levels.
Subscription views exist for all entities. The subscription views have the same name as the entity on which they are based.
You initialize each entity member. New City entity members are imported daily based on customer city values in a Customer Relationship Management (CRM) database. The CRM database is a SQL Server relational database. When new cities are imported from the CRM database, the state codes must be standardized to those already defined in the State entity.
In the CRM database, sales managers and assigned to countries/regions. A sales manager may be assigned to one or more countries/regions. A country/region may have one or more assigned sales managers. The CRM database contains a table named ManagerCountryRegion that stores a row for each manager-country/region relationship.
You create the following MDS users and map each user to an Active Directory Domain Services (AD DS) user account: User1, User2, and User3. Both User1 and User2 belong to the Explorer functional area.
Users must be able to complete the tasks described in the following table.

You need to complete the development of the SSIS data flow to load cities into the City staging table.

Which transformation type should you use for Component 3?

You manage a Data Quality Services (DQS) knowledge base.
You need to ensure that DQS will create a synonym relationship between identical tags.
What should you create?

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are developing a Microsoft SQL Server Integration Services (SSIS) package.
You need to cleanse a data flow source by removing duplicate records based on approximate matches.
Which SSIS Toolbox item should you use?

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.

You are developing a Microsoft SQL Server Integration Services (SSIS) package. You create a data flow that has the following characteristics:
* The package moves data from the table [source].Tabid to DW.Tablel.
* All rows from [source].Table1 must be captured in DW.Tablel for error.Tablel.
* The table error.Tablel must accept rows that fail upon insertion into DW.Tablel due to violation of nullability or data type errors such as an invalid date, or invalid characters in a number.
* The behavior for the Error Output on the "OLE DB Destination" object is Redirect.
* The data types for all columns in [sourceJ.Tablel are VARCHAR. Null values are allowed.
* The Data access mode for both OLE DB destinations is set to Table or view - fast load.


Use the drop-down menus to select the answer choice that answers each question.

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?

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are loading data from an OLTP database to a data warehouse.
The OLTP database includes a table for sales data and a table for refund data.
The data warehouse contains a single table for all the sales and refund data.
Which component should you use to load the data to the data warehouse?

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 create a set of Microsoft SQL Server Integration Services (SSIS) packages to support an ETL process.
You need to deploy the SSIS packages and meet the following requirements:
* Maximize ease of use for backup processes.
* Manage security of packages from a single place.
* Maintain versioning of packages.
* Implement parameters to assign values to packages.
* Use stored procedures to run SSIS packages.
* Use SQL Server Agent to run packages.
Solution: You use the Package Deployment model. You save the packages to the file system.
Does this meet the goal?

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 an on-premises Microsoft SQL Server instance and a Microsoft Azure SQL Data Warehouse instance. You move data from the on-premises database to the data warehouse once each day by using a SQL Server Integration Services (SSIS) package.
You observe that the package no longer completes within the allotted time.
You need to determine which tasks are taking a long time to complete.
Solution: You alter the package to log the start and completion times for a task to a table in the on-premises SQL Server instance.
Does the solution meet the goal?

You create a Master Data Services (MDS) model that manages the master data for a Product dimension. The Product dimension has the following properties:
All the members of the Product dimension have a product type, a product subtype, and a unique product name.
Each product has a single product type and a single product subtype.
The product type has a one-to-many relationship to the product subtype.
You need to ensure that the relationship between the product name, the product type, and the product subtype is maintained when products are added to or updates in the database.
What should you add to the model?