Microsoft 70-768 Questions 2021

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NEW QUESTION 1

You are managing a SQL Server Analysis Services (SSAS) tabular database.
The database must meet the following requirements:
✑ The processing must load data into partitions or tables.
✑ The processing must not rebuild hierarchies or relationships.
✑ The processing must not recalculate calculated columns.
You need to implement a processing strategy for the database to meet the requirements. Which processing mode should you use?

  • A. Process Clear
  • B. Process Data
  • C. Process Add
  • D. Process Full
  • E. Process Default

Answer: C

NEW QUESTION 2

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 Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:
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Users need to be able to analyze sales by color.
You need to create a dimension that contains all of the colors for products sold by the company.
Which relationship type should you use between the InternetSales table and the new dimension?

  • A. no relationship
  • B. regular
  • C. fact
  • D. referenced
  • E. many-to-many
  • F. data mining

Answer: B

Explanation:
A regular dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined directly to the fact table.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical-cube-objects/dimension-relationships

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. Determine whether the solution meets the stated goals.
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:
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You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:
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You need to create the KPI.
Solution: You set the value of the Status expression to:
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Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: B

NEW QUESTION 4

You are developing a SQL Server Analysis Services (SSAS) tabular project. The model includes a table named Sales. The Sales table includes a single date column.
The Sales table must meet the following requirements:
✑ Queries must be able to return all rows.
✑ Must be able to support four different processing schedules for different date ranges.
✑ Date ranges must not include any overlapping data.
You need to implement a solution that meets the requirements. What should you do?

  • A. Create four partitions for the Sales tabl
  • B. Create four role
  • C. Use the same row filter queries for each role and partition.
  • D. Convert the Sales table into four smaller tables by using row filter querie
  • E. Use one perspective for all four tables.
  • F. Create four partitions for the Sales tabl
  • G. Use row filter queries for each partition.
  • H. Convert the Sales table into four smaller tables by using row filter querie
  • I. Use one perspective for each of the four tables.

Answer: C

NEW QUESTION 5
HOTSPOT
You are developing a SQL Server Analysis Services (SSAS) cube.
Revenue must be compared to a goal and described by a status and a trend. Revenue, goal, status, and trend will be defined by Multidimensional Expressions (MDX) expressions.
You need to add the Revenue indicator.
Which tab should you select? (To answer, select the appropriate tab in the work area.)
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
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NEW QUESTION 6

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data. The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be
complete by 4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.
You need to improve the performance.
Solution: Change the storage mode for the data model to DirectQuery. Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: A

Explanation:
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing in-memory, even complex queries can be incredibly fast. However, there are some limitations to using cached data. Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule.
DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery: +
Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data model.
Datasets can be larger than the memory capacity of an Analysis Services server. Etc.
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular

NEW QUESTION 7
DRAG DROP
You install a SQL Server Analysis Services (SSAS) instance in tabular mode on a server.
While processing a very large tabular model, you receive an out-of-memory error. You identify that the amount of physical memory in the server is insufficient. Additional physical memory cannot be installed in the server.
You need to configure the server to allow paging to disk by using the operating system page file (pagefile.sys).
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.)
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Box 1:
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Box 2:
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Box 3:
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Box 4:
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Note:
* View or set configuration properties in Management Studio
✑ In SQL Server Management Studio, connect to an Analysis Services instance. In Object Explorer, right-click the Analysis Services instance, and then clickProperties. The General page appears, displaying the more commonly used properties.
✑ To view additional properties, click theShow Advanced (All) Propertiescheckbox at the bottom of the page.
Modifying server properties is supported only for tabular mode and multidimensional mode servers. If you installed PowerPivot for SharePoint, always use the default values unless you are directed otherwise by a Microsoft product support engineer.
* VertiPaqPagingPolicy
Specifies the paging behavior in the event the server runs low on memory. Valid values are as follows:
Zero (0) is the default. No paging is allowed. If memory is insufficient, processing fails with an out-of-memory error.
1 enables paging to disk using the operating system page file (pagefile.sys).
When VertiPaqPagingPolicy is set to 1, processing is less likely to fail due to memory constraints because the server will try to page to disk using the method that you specified. Setting the VertiPaqPagingPolicy property does not guarantee that memory errors will never happen. Out of memory errors can still occur under the following conditions:
There is not enough memory for all dictionaries. During processing, Analysis Services locks the dictionaries for each column in memory, and all of these together cannot be more than the value specified for VertiPaqMemoryLimit.
There is insufficient virtual address space to accommodate the process.
To resolve persistent out of memory errors, you can either try to redesign the model to reduce the amount of data that needs processing, or you can add more physical memory to the computer.
Applies to tabular server mode only
* Incorrect: VertiPaqMemoryLimit
If paging to disk is allowed, this property specifies the level of memory consumption (as a percentage of total memory) at which paging starts. The default is 60. If memory
consumption is less than 60 percent, the server will not page to disk.
This property depends on the VertiPaqPagingPolicyProperty, which must be set to 1 in order for paging to occur.
Applies to tabular server mode only.

NEW QUESTION 8

You are responsible for installing new database server instances.
You must install Microsoft SQL Server Analysis Services (SSAS) to support deployment of the following projects. You develop both projects by using SQL Server Data Tools.
You need to install the appropriate services to support both projects.
Which two actions should you perform? Each correct answer presents part of the solution.

  • A. Install one tabular instance of SSAS and enable the Data Mining Extensions.
  • B. Install one multidimensional instance of SSAS.
  • C. Install one tabular instance of SSAS.
  • D. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
  • E. Install two separate tabular instances of SSAS.

Answer: BC

Explanation:
Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default), Power Pivot for SharePoint, and Tabular.
References:https://docs.microsoft.com/en-us/sql/analysis-services/comparing-tabular-and-multidimensional-solutions-ssas

NEW QUESTION 9

You are a business analyst for a retail company that uses a Microsoft SQL Server Analysis Services (SSAS) multidimensional database for reporting. The database contains the following objects:
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You must create a report that shows, for each month, the Internet sales for that month and the total Internet sales for the calendar year up to and including the current month.
You create the following MDX statement (Line numbers are included for reference only.):
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You need to complete the MDX statement to return data for the report. Which MDX segment should you use in line 01?

  • A. [MISSING]
  • B. [MISSING]
  • C. [MISSING]
  • D. [MISSING]

Answer: B

Explanation:
The following example returns the sum of the Measures. [Order Quantity] member, aggregated over the first eight months of calendar year 2003 that are contained in the Date dimension, from the Adventure Works cube.
Copy
WITH MEMBER [Date].[Calendar].[First8Months2003] AS Aggregate(
PeriodsToDate( [Date].[Calendar].[Calendar Year], [Date].[Calendar].[Month].[August 2003]
)
) SELECT
[Date].[Calendar].[First8Months2003] ON COLUMNS, [Product].[Category].Children ON ROWS
FROM
[Adventure Works] WHERE
[Measures].[Order Quantity] References:https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx

NEW QUESTION 10

You are developing a tabular Business Intelligence Semantic Model (BISM) database based on a SQL Server database.
In the data source, the FactInternetSales table is partitioned by month. Data from the current month has been updated and new data has been inserted in the FactInternetSales table, in the DimProduct table, and in the DimCustomer table.
In the model, the FactInternetSales table is also partitioned by month.
You need to ensure that the model has the most recent data while minimizing the processing time.
What should you do?

  • A. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Clear processing optio
  • B. Then process the database with the Process Data processing option.
  • C. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Clear processing optio
  • D. Then process the database with the Process Full processing option.
  • E. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Defrag processing optio
  • F. Then process the database with the Process Recalc processing option.
  • G. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Data processing optio
  • H. Then process the database with the Process Defrag processing option.
  • I. Process the latest FactInternetSales model table partition, the DimProduct table, and the DimCustomer table with the Process Data processing optio
  • J. Then process the database with the Process Recalc processing option.

Answer: D

NEW QUESTION 11

You are developing a SQL Server Analysis Services (SSAS) tabular project.
A column named City must be added to the table named Customer. The column will be used in the definition of a hierarchy. The City column exists in the Geography table that is related to the Customer table.
You need to add the City column to the Customer table. How should you write the calculation?

  • A. City:= LOOKUP(Geography[City],Geography[GeographyKey],[GeographyKey])
  • B. City:= LOOKUPVALUE(Geography[City],Geography[GeographyKey],[GeographyKey]) C .=RELATED(Geography[City])
  • C. =RELATED(Geography.City)
  • D. =VALUES(Geography[City])
  • E. City:=VALUES(Geography[City])

Answer: C

Explanation:
* RELATED Function Returns a related value from another table.

NEW QUESTION 12
DRAG DROP
You are a business analyst for a retail company that uses a Microsoft SQL Server Analysis Services (SSAS) multidimensional database to track sales. The database contains the following objects:
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Your company is developing a promotional plaque to recognize the top resellers in the top 10 cities where the company does business. Each plaque must display the sales total for all resellers in the city. In addition, the plaque must display a total for all cities not in the top 10.
You have the following requirements:
You need to provide the information needed for the promotional plaques.
How should you complete the MDX statement? To answer, drag the appropriate MDX segments to the correct locations. Each MDX segment 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.
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Box 1:DYNAMIC SET Box 2:MEMBER
Box 3:DYNAMIC SET
Box 4:[Geography].[City].[City].members Box 5:[Measures].[Reseller Sales Amount]
References: https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx

NEW QUESTION 13

You are optimizing a Microsoft SQL Server Analysis Services (SSAS) multidimensional model over a SQL Server database. You have a table named City which has several dimensions that do not contain a space in their names. One dimension is named SalesTerritory rather than Sales Territory.
You need to ensure that Report developers can drag the attribute name to the report rather than having to re-label the attributes by implementing spaces. You must minimize administrative effort and not break any upstream processes.
What should you do?

  • A. In the SQL Server database, run the system procedure sp_rename to rename the columns in the base tables with the target name.
  • B. In SQL Server Management Studio, navigate to the City table, expand the columns, press F2, and rename the columns in the base tables.
  • C. In the SQL Server database, implement a SYNONYM.
  • D. In the SQL Server database, implement a view over the City table that aliases the columns in the tables.

Answer: D

NEW QUESTION 14

You are developing a SQL Server Analysis Services (SSAS) tabular project that will be used by the finance, sales, and marketing teams.
The sales team reports that the model is too complex and difficult to use. The sales team does not need any information other than sales-related resources in the tabular model. The finance and marketing teams need to see all the resources in the tabular model.
You need to implement a solution that meets the needs of the sales team while minimizing development and administrative effort.
What should you do?

  • A. Create a separate partition for each team.
  • B. Create a separate data source for each team.
  • C. Create a perspective for the sales team.
  • D. Enable client side security to filter non-sales data.

Answer: C

NEW QUESTION 15

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data. The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be complete by 4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.
You need to improve the performance.
Solution: Install solid-state disk drives to store the tabular data model. Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing in-memory, even complex queries can be incredibly fast. However, there are some limitations to using cached data. Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule.
DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery: +
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular

NEW QUESTION 16
HOTSPOT
You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project. You add two new role-playing dimensions named Picker and Salesperson to the cube. Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.
Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes.
You need to ensure that the Salesperson and Picker attributes in each dimension use unique names.
In the table below, identify an option that you would use as part of the process to alter the names of the attributes for each of the dimensions.
NOTE: Make only one selection in each column.
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression.
A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data source.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/define-named-queries-in-a-data-source-view-analysis-services

NEW QUESTION 17
HOTSPOT
You need to configure the project option settings to minimize deployment time for the CustomerAnalysis data model.
What should you do? To answer, select the appropriate setting from each list in the answer area.
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default) Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment-script-files-specifying-processing-options

NEW QUESTION 18

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. SSAS uses data from OLTP1 to populate a data model.
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database.
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access.
Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory.
Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
With InMemory the queries can use the cache only. References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx

NEW QUESTION 19

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 administer a Microsoft SQL Server Analysis Services (SSAS) tabular model for a retail company. The model is the basis for reports on inventory levels, popular products, and regional store performance.
The company recently split up into multiple companies based on product lines. Each company starts with a copy of the database and tabular model that contains data for a specific product line.
You need to optimize performance of queries that use the copied tabular models while minimizing downtime.
What should you do?

  • A. Ensure that DirectQuery is enabled for the model.
  • B. Ensure that DirectQuery is disabled for the model.
  • C. Ensure that the Transactional Deployment property is set to True.
  • D. Ensure that the Transactional Deployment property is set to False.
  • E. Process the model in Process Full mode.
  • F. Process the model in Process Data mode.
  • G. Process the model in Process Defrag mode.

Answer: C

Explanation:
The Transactional Deployment setting controls whether the deployment of metadata changes and process commands occurs in a single transaction or in separate transactions. If this option is True (default), Analysis Services deploys all metadata changes and all process commands within a single transaction.
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment-script-files-specifying-processing-options

NEW QUESTION 20
DRAG DROP
You need to configure the SalesAnalysis cube to correct the sales analysis by customer calculation.
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.
70-768 dumps exhibit

  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group. Use Day as the granularity.
From scenario: The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes. The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.

NEW QUESTION 21
......

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