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NEW QUESTION 1
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 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 are developing Microsoft SQL Server Analysis Services (SSAS) tabular model. The model must meet the following requirements:
    You need to configure model. 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: A

    Explanation: DAX originally emerged from a Power Pivot add-in for Excel, as a formula language extension for creating calculated columns and measures for data analysis (which are also integral elements of one SSAS Tabular model database, too), but when Microsoft added support for DAX queries in SQL Server 2012, BI experts started “daxing” data from Tabular model databases.
    That trend continues, because of simplicity and fast query execution (related to DirectQuery mode in SSAS Tabular).
    References:https://www.sqlshack.com/query-ssas-tabular-model-database-using-dax- functions/

    NEW QUESTION 3
    You are developing a SQL Server Analysis Services (SSAS) tabular project.
    You need to grant the minimum permissions necessary to enable users to query data in a data model.
    Which role permission should you use?

    • A. Explorer
    • B. Process
    • C. Browser
    • D. Administrator
    • E. Select
    • F. Read

    Answer: F

    NEW QUESTION 4
    You are troubleshooting query performance for a SQL Server Analysis Services (SSAS) cube.
    A user reports that a Multidimensional Expressions (MDX) query is very slow.
    You need to identify the MDX query statement in a trace by using SQL Server Profiler. Which event class should you use?

    • A. Get Data From Aggregation
    • B. Query Subcube
    • C. Query Begin
    • D. Progress Report Begin
    • E. Calculate Non Empty Begin
    • F. Execute MDX Script Begin

    Answer: C

    NEW QUESTION 5
    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

      Answer:

      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.

      Topic 3, Case Study #3
      Background
      You are a developer for a Seattle-based company. The company is expanding globally. Many company employees speak fluent Mandarin and read Simplified Chinese.
      You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS).
      Users report that the query takes a long time to complete.
      You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment. You plan to move several relational data file databases to the new SSAS instance. The databases require a total of 10 GB of disk space.
      You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
      Data Models
      One of the data models is named CustomerSales. This data model contains eight tables. The model includes a table named Sales that defines several measures, including a measure named PriorYearSales. The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations.
      A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date.
      The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date.
      The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to-date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.
      Databases
      You deploy a database named DB1 to an SSAS instance as a project by using SQL Server Data Tools. Data analysts report that they cannot access near real time data from the SSAS SalesAnalysis model from DB1. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
      Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.

      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
      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 DirectQuery with InMemory.
      Does the solution meet the goal?

      • A. Yes
      • B. No

      Answer: A

      Explanation: With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in the connection string from the client.
      References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx

      NEW QUESTION 8
      DRAG DROP
      You need to resolve the issues that the users report.
      Which processing options should you use? To answer, drag the appropriate processing option to the correct location or locations. Each processing option 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: Box1: Process Full:
        When Process Full is executed against an object that has already been processed, Analysis Services drops all data in the object, and then processes the object. This kind of processing is required when a structural change has been made to an object, for example, when an attribute hierarchy is added, deleted, or renamed.
        Box 2: 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.
        Box 3:
        Not Process Update: Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.

        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 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 11
          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.
          70-768 dumps exhibit

            Answer:

            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 12
            HOTSPOT
            You are a database administrator in a company that uses Microsoft SharePoint Server for all intranet sites. You are responsible for the installation of new database server instances.
            You must install Microsoft SQL Server Analysis Server (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.
            What should you do? In the table below, select the appropriate services for each project. NOTE: Make only one selection in each column. Each correct selection is worth one point.
            70-768 dumps exhibit

              Answer:

              Explanation: Project1:
              Project2: Multidimensional
              Note: Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default), Power Pivot for SharePoint, and Tabular.

              NEW QUESTION 13
              You are developing a SQL Server Analysis Services (SSAS) tabular project.
              In the data warehouse, a table named Sales Persons and Territories defines a relationship between a salesperson's name, logon ID, and assigned sales territory.
              You need to ensure that each salesperson has access to data from only the sales territory assigned to that salesperson. You need to use the least amount of development effort to achieve this goal.
              What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

              • A. Create a new role named Sales Persons with Read permissio
              • B. Add each salesperson's logon as a member to the role.
              • C. Add the Sales Persons and Territories table to the model, define the relationships, and then implement dynamic security by using row filter
              • D. Grant each salesperson access to the model.
              • E. Create a new Active Directory Domain Services (AD DS) security group and add each salesperson as a membe
              • F. Then create a new role named Sales Persons with Read permissio
              • G. Add the group as a member to the new role.
              • H. Create a separate tabular model for each sales territory and assign each tabular model a corresponding sales territory nam
              • I. Grant each salesperson access to the corresponding tabular model of the assigned sales territory.

              Answer: B

              NEW QUESTION 14
              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 15
              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 16
              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 17
                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 18
                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

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