Microsoft 70-767 Exam Questions and Answers 2021

NEW QUESTION 1
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.

Answer:

Explanation: Table or view Check contraints

NEW QUESTION 2
You need to recommend a storage solution for a data warehouse that minimizes load times. The solution must provide availability if a hard disk fails.
Which RAID configuration should you recommend for each type of database file? To answer, drag the appropriate RAID configurations to the correct database file types. Each RAID configuration may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation: Box 1: RAID 5
RAID 5 is the similar to that of RAID 0 provided that the number of disks is the same. However, due to the fact that it is useless to read the parity data, the read speed is just (N-1) times faster but not N times as in RAID 0.
Box 2: RAID 10
Always place log files on RAID 1+0 (or RAID 1) disks. This provides better protection from hardware failure, and better write performance.
Note: In general RAID 1+0 will provide better throughput for write-intensive applications. The amount of performance gained will vary based on the HW vendor’s RAID implementations. Most common alternative to RAID 1+0 is RAID 5. Generally, RAID 1+0 provides better write performance than any other RAID level providing data protection, including RAID 5.

NEW QUESTION 3
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.
Each night you receive a comma separated values (CSV) file that contains different types of rows. Each row type has a different structure. Each row in the CSV file is unique. The first column in every row is named Type. This column identifies the data type.
For each data type, you need to load data from the CSV file to a target table. A separate table must contain the number of rows loaded for each data type.
Solution: You create a SQL Server Integration Services (SSIS) package as shown in the exhibit. (Click the
Exhibit tab.)

Does the solution meet the goal?

• A. Yes
• B. NO

Answer: A

Explanation: The conditional split is correctly placed before the count.

NEW QUESTION 4
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

Answer: B

Explanation: 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-serv

NEW QUESTION 5
You are building a server to host a data warehouse.
The planned disk activity for-khe data warehouse is five percent write activity and 95 percent read activity. You need to recommend a storage solution for the data files of the data warehouse. The solution must meet the following requirements:
*Ensure that the data warehouse is available if two disks fail.
*Minimize hardware costs.
Which RAID configuration should you recommend?

• A. RAID1
• B. RAID 5
• C. RAID 6
• D. RAID 10

Answer: C

Explanation: According to the Storage Networking Industry Association (SNIA), the definition of RAID 6 is: "Any form of RAID that can continue to execute read and write requests to all of a RAID array's virtual disks in the presence of any two concurrent disk failures."

NEW QUESTION 6
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 chokes, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
Contoso. Ltd. has a Microsoft SQL Server environment that includes SQL Server Integration Services (SSIS), a data warehouse, and SQL Server Analysis Services (SSAS) Tabular and multi-dimensional models.
The data warehouse stores data related to your company sales, financial transactions and financial budgets. All data for the data warehouse originates from the company s business financial system.
The data warehouse includes the following tables:

The company plans to use Microsoft Azure to store older records from the data warehouse. You must modify the database to enable the Stretch Database capability.
Users report that they are becoming confused about which city table to use for various queries. You plan to create a new schema named Dimension and change the name of the dbo.diamension_city table to Diamension.city. Data loss is not permissible, and you must not leave traces of the old table in the data warehouse.
The fact. Transaction table has measures named RawCost and Totaisale that calculate the wholesale cost of materials. You plan to create a measure that calculates the profit margin based on the two existing measures.
You must implement a partitioning scheme for the fact.Transaction table to move older data to less expensive storage. Each partition will store data for a single calendar year, as shown in the exhibit (Click the Exhibit button.) You must align the partitions.

You must improve performance for queries against the fact.Transaction table. You must implement appropriate indexes and enable the Stretch Database capability.
End of repeated scenario
You need to create the ProfitMargin measure for the fact. Transaction table.
How should you complete the MDX statement? To answer, select the appropriate MDX segments in the answer area.

Answer:

Explanation:

NEW QUESTION 7
You have a series of analytic data models and reports that provide insights into the participation rates for sports at different schools. Users enter information about sports and participants into a client application. The application stores this transactional data in a Microsoft SQL Server database. A SQL Server Integration Services (SSIS) package loads the data into the models.
When users enter data, they do not consistently apply the correct names for the sports. The following table shows examples of the data entry issues.

You need to create a new knowledge base to improve the quality of the sport name data.
How should you configure the knowledge base? To answer, select the appropriate options in the dialog box in the answer area.

Answer:

Explanation: Spot 1: Create Knowledge base from: None
Select None if you do not want to base the new knowledge base on an existing knowledge base or data file.

NEW QUESTION 8
You have the Microsoft SQL Server Integration Services (SSIS) package shown in the Control flow exhibit. (Click the Exhibit button.)

The package iterates over 100 files in a local folder. For each iteration, the package increments a variable named loop as shown in the Expression task exhibit. (Click the Exhibit button) and then imports a file. The initial value of the variable loop is 0.

You suspect that there may be an issue with the variable value during the loop. You define a breakpoint on the Expression task as shown in the BreakPoint exhibit. (Click the Exhibit button.)

You need to check the value of the loop variable value.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Answer:

Explanation: Break condition: When the task or container receives the OnPreExecute event.
Called when a task is about to execute. This event is raised by a task or a container immediately before it runs. The loop variable does not reset.
With the debugger, you can break, or suspend, execution of your program to examine your code, evaluate and edit variables in your program, etc.

NEW QUESTION 9
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 to 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.
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 configure data loading for the tables.
Which data loading technology should you use for each table? To answer, select the appropriate options in the answer area.

Answer:

Explanation: Scenario: The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables. Box 1: Change Tracking
Box 2: Change Tracking Box 3: Temporal Table
Temporal Tables are generally useful in scenarios that require tracking history of data changes.
We recommend you to consider Temporal Tables in the following use cases for major productivity benefits.
* Slowly-Changing Dimensions
Dimensions in data warehousing typically contain relatively static data about entities such as geographical locations, customers, or products.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios

NEW QUESTION 10
You have a Microsoft SQL Server Integration Services (SSIS) package that loads data into a data warehouse each night from a transactional system. The package also loads data from a set of Comma-Separated Values (CSV) files that are provided by your company’s finance department.
The SSIS package processes each CSV file in a folder. The package reads the file name for the current file into a variable and uses that value to write a log entry to a database table.
You need to debug the package and determine the value of the variable before each file is processed.
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.

Answer:

Explanation: You debug control flows.
The Foreach Loop container is used for looping through a group of files. Put the breakpoint on it.
The Locals window displays information about the local expressions in the current scope of the Transact-SQL debugger.
References: https://docs.microsoft.com/en-us/sql/integration-services/troubleshooting/debugging-control-flow
http://blog.pragmaticworks.com/looping-through-a-result-set-with-the-foreach-loop

NEW QUESTION 11
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 DQS 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.

Answer:

Explanation: The DQS Cleansing component takes input records, sends them to a DQS server, and gets them back corrected. The component can output not only the corrected data, but also additional columns that may be useful for you. For example - the status columns. There is one status column for each mapped field, and another one that aggregated the status for the whole record. This record status column can be very useful in some scenarios, especially when records are further processed in different ways depending on their status. Is such cases, it is recommended to use a Conditional Split component below the DQS Cleansing component, and configure it to split the records to groups based on the record status (or based on other columns such as specific field status).
References: https://blogs.msdn.microsoft.com/dqs/2011/07/18/using-the-ssis-dqs-cleansing-component/

NEW QUESTION 12
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?

• A. catalog.deploy_project
• B. catalog.restore_project
• C. catalog.stop.operation
• D. sys.sp_cdc.addJob
• E. sys.sp.cdc.changejob

Answer: B

Explanation: catalog.restore_project restores a project in the Integration Services catalog to a previous version. References:
https://docs.microsoft.com/en-us/sql/integration-services/system-stored-procedures/catalog-restore-project-ssisd

NEW QUESTION 13
You are developing a Microsoft SQL Server Integration Services (SSIS) package to incrementally load new and changed records from a data source.
The SSIS package must load new records into Table1 and updated records into Table1_Updates. After loading records, the package must call a Transact-SQL statement to process updated rows according to existing business logic.
You need to complete the design of the SSIS package.
Which tasks should you use? To answer, drag the appropriate SSIS objects to the correct targets. Each SSIS object may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation: Step 1: CDC Control Task Get Processing Range Step 2: Mark Processed Range
Step 3: Data Flow
The Data Flow task encapsulates the data flow engine that moves data between sources and destinations, and lets the user transform, clean, and modify data as it is moved. Addition of a Data Flow task to a package control flow makes it possible for the package to extract, transform, and load data.
Step 4: CDC Source
The CDC source reads a range of change data from SQL Server 2021 change tables and delivers the changes downstream to other SSIS component.
Step 5: CDC Splitter
The CDC splitter splits a single flow of change rows from a CDC source data flow into different data flows for Insert, Update and Delete operations.
References:
https://docs.microsoft.com/en-us/sql/integration-services/control-flow/cdc-control-task https://docs.microsoft.com/en-us/sql/integration-services/control-flow/data-flow-task https://docs.microsoft.com/en-us/sql/integration-services/data-flow/cdc-splitter?view=sql-server-2021

NEW QUESTION 14
You have a Microsoft SQL Server Integration Services (SSIS) package that includes the control flow shown in the following diagram.

You need to choose the enumerator for the Foreach Loop container. Which enumerator should you use?

• A. Foreach SMO Enumerator
• B. Foreach Azure Blob Enumerator
• C. Foreach NodeList Enumerator
• D. Foreach ADO Enumerator

Answer: D

Explanation: Use the Foreach ADO enumerator to enumerate rows in tables. For example, you can get the rows in an ADO recordset.

NEW QUESTION 15
You deploy a Microsoft Azure SQL Data Warehouse instance. The instance must be available eight hours each day.
You need to pause Azure resources when they are not in use to reduce costs.
What will be the impact of pausing resources? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation: To save costs, you can pause and resume compute resources on-demand. For example, if you won't be using the database during the night and on weekends, you can pause it during those times, and resume it during the day. You won't be charged for DWUs while the database is paused.
When you pause a database:
Compute and memory resources are returned to the pool of available resources in the data center Data Warehouse Unit (DWU) costs are zero for the duration of the pause.
Data storage is not affected and your data stays intact.
SQL Data Warehouse cancels all running or queued operations. When you resume a database:
SQL Data Warehouse acquires compute and memory resources for your DWU setting. Compute charges for your DWUs resume.
Your data will be available.
You will need to restart your workload queries. References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-rest-api

NEW QUESTION 16
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 sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting.
You need to pause the compute resources when the instance is not being used. Solution: You use SQL Server Configuration Manager.
Does the solution meet the goal?

• A. Yes
• B. No

Answer: B

Explanation: To pause a SQL Data Warehouse database, use any of these individual methods. Pause compute with Azure portal
Pause compute with PowerShell Pause compute with REST APIs References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview

NEW QUESTION 17
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.
You remove the Integration Services job.
You need to stop tracking changes to the database. The solution must remove all the change data capture configurations from DB1.
Which stored procedure should you execute?

• A. catalog.deploy_project
• B. catalog.restore_project
• C. catalog.stop.operation
• D. sys.sp.cdc.addjob
• E. sys.sp.cdc.changejob
• F. sys.sp_cdc_disable_db
• G. sys.sp_cdc_enable_db
• H. sys.sp_cdc.stopJob

Answer: F

Explanation: sys.sp_cdc_disable_db disables change data capture for all tables in the database currently enabled. All system objects related to change data capture, such as change tables, jobs, stored procedures and functions, are dropped.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/system-stored-procedures/sys-sp-cdc-disable-db-transa

NEW QUESTION 18
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.
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 implement partitioning for the Fact.Ticket table.
Which three actions should you perform in sequence? To answer, drag the appropriate actions to the correct locations. Each action may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: More than one combination of answer choices is correct. You will receive credit for any of the correct combinations you select.

Answer:

Explanation: From scenario: - 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.
The detailed steps for the recurring partition maintenance tasks are: References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/manage-retention-of-historical-data-in-system-v

NEW QUESTION 19
You manage a data warehouse in a Microsoft SQL Server instance. Company employee information is imported from the human resources system to a table named Employee in the data warehouse instance. The Employee table was created by running the query shown in the Employee Schema exhibit. (Click the Exhibit button.)

The personal identification number is stored in a column named EmployeeSSN. All values in the EmployeeSSN column must be unique.
When importing employee data, you receive the error message shown in the SQL Error exhibit. (Click the Exhibit button.).

You determine that the Transact-SQL statement shown in the Data Load exhibit in the cause of the error. (Click the Exhibit button.)

You remove the constraint on the EmployeeSSN column. You need to ensure that values in the EmployeeSSN column are unique.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Answer:

Explanation: With the ANSI standards SQL:92, SQL:1999 and SQL:2003, an UNIQUE constraint must disallow duplicate non-NULL values but accept multiple NULL values.
In the Microsoft world of SQL Server however, a single NULL is allowed but multiple NULLs are not. From SQL Server 2008, you can define a unique filtered index based on a predicate that excludes NULLs. References:
https://stackoverflow.com/questions/767657/how-do-i-create-a-unique-constraint-that-also-allows-nulls