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NEW QUESTION 1
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 an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location, customer, and employee.
The management team plans to evaluate sales employee performance relative to sales targets. You identify the following metrics for employees:
You need to implement the KPI based on the Status expression. Solution: You design the following solution:
70-768 dumps exhibit
Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: B

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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You need to create a new dimension that allows users to list shipments by the country where the product is shipped.
Which relationship type should you use between the Shipment table and the new dimension?

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

Answer: E

Explanation: Many to Many Dimension Relationships.
In most dimensions, each fact joins to one and only one dimension member, and a single dimension member can be associated with multiple facts. In relational database terminology, this is referred to as a one-to-many relationship. However, it is frequently useful to join a single fact to multiple dimension members. For example, a bank customer might have multiple accounts (checking, saving, credit card, and investment accounts), and
an account can also have joint or multiple owners. The Customer dimension constructed from such relationships would then have multiple members that relate to a single account transaction.
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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 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: Enable Buffer Cache Extensions. Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation: In this scenario we would need both Buffer Cache Extensions and SSD.
The buffer pool extension provides the seamless integration of a nonvolatile random access memory (that is, solid-state drive) extension to the Database Engine buffer pool to significantly improve I/O throughput.
References:https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/buffer-pool-extension

NEW QUESTION 4
DRAG DROP
You need to create the cube processing job and the dimension processing job.
Which processing task should you use for each job? To answer, drag the appropriate processing tasks to the correct locations. Each processing task 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.
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    Answer:

    Explanation: Box 1: ProcessData
    Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data.
    Box 2: Process Update
    Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
    References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/processing-options-and-settings-analysis-services

    Topic 2, Case Study #2
    Background
    Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
    Sales Analysis
    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.
    The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to 24 hours old. Data analyst report performance issues when they access the SalesAnalysis model.
    When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer’s sales value. When analyzing sales by product, the correct totals for each product are shown.
    Customer Analysis
    You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales. You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
    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.
    Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
    Product Sales
    The ProductSales cube allows data analysts to view sales information by product, city, and time. Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
    Requirements
    You identify the following requirements:
    *Data available during normal business hours must always be up-to-date.
    *Processing overhead must be minimized.
    *Query response times must improve.
    *All queries that access the SalesAnalysis model must use cached data by default.
    *Data analysts must be able to access data in near real time.

    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.)
    70-768 dumps exhibit

      Answer:

      Explanation: 70-768 dumps exhibit

      NEW QUESTION 6
      A database named DB2 uses the InMemory query mode. Users frequently run the following query:
      70-768 dumps exhibit
      You need to ensure no users see the PriorYearSales measure in the field list for the Sales table.
      What should you do?

      • A. Create a perspective, and ensure that the PriorYearSales measure is not added to the perspectiv
      • B. Ensure that users connect to the model by using the perspective.
      • C. Set the Display Folder property for PriorYearSales toHidden.
      • D. Remove the PriorYearSales measure from the default field set of the Sales table.
      • E. Create a role using Read permissions, and define a DAX expression to filter out the PriorYearSales measur
      • F. Add all users to the role.

      Answer: A

      Explanation: Using perspectives in the data model might help you expose a subset of tables, columns, and measures that are useful for a particular type of analysis.
      Usually, every user needs only a subset of data you create, and showing him or her the model through perspectives can offer a better user experience.
      From scenario; The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users.
      References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model, Microsoft Press (July 2012), page 305

      Topic 4, Mix Questions

      NEW QUESTION 7
      HOTSPOT
      You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional project. You are developing a dimension that uses data from the following table:
      70-768 dumps exhibit
      The ManagerKey column defines a foreign key constraint that references the EmployeeKey column. The table stores employee history information by using slowly changing dimensions (SCD). Changes to EmployeeName, Phone, or ManagerKey are managed as SCD Type 1 changes. Changes to SalesRegion are managed as SCD Type 2 changes.
      You create the following attributes, and set the KeyColumns and NameColumn properties to the columns listed in the table below:
      70-768 dumps exhibit
      You need to add a parent-child hierarchy to the dimension to enable navigating the organization hierarchy.
      In the table below, identify the attribute that you must use for each attribute usage type. NOTE: Make only one selection in each column.
      70-768 dumps exhibit

        Answer:

        Explanation: The ManagerKey column, the Manager attribute, defines a foreign key constraint that references the EmployeeKey column, the Employee attribute.

        NEW QUESTION 8
        HOTSPOT
        A database named DB2 uses the InMemory query mode. Users frequently run the following
        query:
        70-768 dumps exhibit
        You need to configure SQL Server Profiler to determine why the query is performing poorly. Which three event should you monitor on the SQL Server Profiler trace events
        configuration page? To answer, select the appropriate options in the answer area.
        70-768 dumps exhibit

          Answer:

          Explanation: By using SQL Profiler, you can intercept two classes of trace events from Analysis Services, DAX Query Plan and DirectQuery events, both generated by the DirectQuery engine. Here, in this scenario we have a DAX Query.
          DAX Query Plan events are generated by the DAX formula.
          By using the In-Memory mode, you store a copy of data in the xVelocity (VertiPaq) storage engine.
          Figure: This is how a query is executed by using In-Memory mode.
          70-768 dumps exhibit
          References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model, Microsoft Press (July 2012), page 331
          From Scenario: Users report that the query takes a long time to complete.

          NEW QUESTION 9
          DRAG DROP
          You need to configure the CoffeeSale fact table environment.
          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.
          NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
          70-768 dumps exhibit

            Answer:

            Explanation: Step 1: Partition the CoffeSale facto table.
            Step 2: Set the storage mode for all partitions to HOLAP.
            Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because
            they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
            Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
            Step 4: Test that the cube meets the functional requirement for data currency and query performance.
            From scenario:
            Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
            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.
            References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical-cube-objects/partitions-partition-storage-modes-and-processing

            NEW QUESTION 10
            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 11
            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:
            70-768 dumps exhibit
            Users need to be able to analyze sales by product and color. You need to create the dimension.
            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: D

            Explanation: A reference dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined indirectly to the fact table through a key in another dimension table, as shown in the following illustration.
            70-768 dumps exhibit
            A reference dimension relationship represents the relationship between dimension tables and a fact table in a snowflake schema design. When dimension tables are connected in a snowflake schema, you can define a single dimension using columns from multiple tables, or you can define separate dimensions based on the separate dimension tables and then define a link between them using the reference dimension relationship setting. The following figure shows one fact table named InternetSales, and two dimension tables called Customer and Geography, in a snowflake schema.
            70-768 dumps exhibit
            You can create two dimensions related to the InternetSales measure group: a dimension based on the Customer table, and a dimension based on the Geography table. You can then relate the Geography dimension to the InternetSales measure group using a reference dimension relationship using the Customer dimension.

            NEW QUESTION 12
            You need to configure the server to optimize the afternoon report generation based on the OrderAnalysis cube.
            Which property should you configure?

            • A. LowMemoryLimit
            • B. VertiPaqPagingPolicy
            • C. TotalMemoryLimit
            • D. VirtualMemoryLimit

            Answer: A

            Explanation: LowMemoryLimit: For multidimensional instances, a lower threshold at which the server first begins releasing memory allocated to infrequently used objects.
            From scenario: Reports that are generated based on data from the OrderAnalysis cube take more time to complete when they are generated in the afternoon each day. You examine the server and observe that it is under significant memory pressure.

            NEW QUESTION 13
            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.)
            70-768 dumps exhibit

              Answer:

              Explanation: Box 1:
              70-768 dumps exhibit
              Box 2:
              70-768 dumps exhibit
              Box 3:
              70-768 dumps exhibit
              Box 4:
              70-768 dumps exhibit
              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 14
              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:
              70-768 dumps exhibit
              You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:
              70-768 dumps exhibit
              You need to create the KPI.
              Solution: You set the value of the Status expression to:
              70-768 dumps exhibit
              Does the solution meet the goal?

              • A. Yes
              • B. No

              Answer: A

              NEW QUESTION 15
              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 16
              DRAG DROP
              You are a business analyst for a company that uses a Microsoft SQL Server Analysis Services (SSAS) tabular database for reporting. The database model contains the following tables:
              70-768 dumps exhibit
              You have been asked to write a query for a report that returns the total sales for each product subcategory, as well as for each product category.
              You need to write the query to return the data for the report.
              How should you complete the DAX statement? To answer, drag the appropriate DAX segment to the correct locations. Each DAX 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.
              70-768 dumps exhibit

                Answer:

                Explanation: Box 1:EVALUATE Box 2:SUMMERIZE Box 3:ROLLUP
                Box 4:'Product Subcategory' ['Product Subcategory Name]
                Note: The behavior of SUMMARIZE is similar to the GROUP BY syntax of a SELECT statement in SQL. For example, consider the following query.
                EVALUATE SUMMARIZE(
                'Internet Sales',
                'Internet Sales'[Order Date],
                "Sales Amount", SUM( 'Internet Sales'[Sales Amount] )
                )
                This query calculates the total of Sales Amount for each date in which there is at least one order,
                producing this result. References:

                NEW QUESTION 17
                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:
                70-768 dumps exhibit
                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.
                70-768 dumps exhibit

                  Answer:

                  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 18
                  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

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