Microsoft 70-767 Study Guides 2019

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NEW QUESTION 1
You are designing an indexing strategy for a data warehouse. The data warehouse contains a table named Table1. Data is bulk inserted into Table1.
You plan to create the indexes configured as shown in the following table.
70-767 dumps exhibit
Which type of index should you use to minimize the query times of each index? To answer, drag the appropriate index types to the correct indexes. Each index type 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.
70-767 dumps exhibit

    Answer:

    Explanation: 70-767 dumps exhibit

    NEW QUESTION 2
    You are developing a Microsoft SQL Server Integration Services (SSIS) package. You create a data flow that has the following characteristics:
    • The package moves data from the table [source].Tabid to DW.Tablel.
    • All rows from [source].Table1 must be captured in DW.Tablel for error.Tablel.
    • The table error.Tablel must accept rows that fail upon insertion into DW.Tablel due to violation of nullability or data type errors such as an invalid date, or invalid characters in a number.
    • The behavior for the Error Output on the "OLE DB Destination" object is Redirect.
    • The data types for all columns in [sourceJ.Tablel are VARCHAR. Null values are allowed.
    • The Data access mode for both OLE DB destinations is set to Table or view - fast load.
    70-767 dumps exhibit
    70-767 dumps exhibit
    Use the drop-down menus to select the answer choice that answers each question.
    70-767 dumps exhibit

      Answer:

      Explanation: 70-767 dumps exhibit

      NEW QUESTION 3
      You are designing a method to split a partition that already contains data within a Microsoft Azure SQL Data Warehouse. You run the following Transact-SQL statements:
      70-767 dumps exhibit
      70-767 dumps exhibit
      70-767 dumps exhibit
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      Use the drop-down menus to select the answer choice that answers each question. NOTE: Each correct selection is worth one point.
      70-767 dumps exhibit

        Answer:

        Explanation: Fact table Five rows

        NEW QUESTION 4
        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.)
        70-767 dumps exhibit
        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.)
        70-767 dumps exhibit
        You create a Conditional Split transform as shown in the Splitter exhibit. (Click the Exhibit button.)
        70-767 dumps exhibit
        You need to split the output of the DQ5 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.
        70-767 dumps exhibit

          Answer:

          Explanation: 70-767 dumps exhibit

          NEW QUESTION 5
          Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
          After you answer a question in this section, you will NOT be able to return to it. As a result, these
          questions will not appear in the review screen.
          You have a Microsoft SQL server that has Data Quality Services (DQS) installed. You need to review the completeness and the uniqueness of the data stored in the matching policy. Solution: You modify the weight of the domain in the matching rule.
          Does this meet the goal?

          • A. Yes
          • B. No

          Answer: A

          Explanation: Use a matching rule, and use completeness and uniqueness data to determine what weight to give a field in the matching process.
          If there is a high level of uniqueness in a field, using the field in a matching policy can decrease the matching results, so you may want to set the weight for that field to a relatively small value. If you have a low level of uniqueness for a column, but low completeness, you may not want to include a domain for that column.
          References:
          https://docs.microsoft.com/en-us/sql/data-quality-services/create-a-matching-policy?view=sql-server-2017

          NEW QUESTION 6
          You plan to use the dtutil.exe utility with Microsoft SQL Server Integration Services (SSIS) to customize packages. You need to create a new package ID for package1 on Server1. Which dtutil.exe command should you run?

          • A. dtutil.exe /FILE c:\repository\packagel.dtsx /DestServer Server! /COPY SQL;package1.dtsx
          • B. dtutil.exe /I /FILE c:\repository\packagel.dtsx
          • C. dtutil.exe /SQL package1 /COPY OTS;c:\repository\package1.dtsx
          • D. dtutil.exe /SQL package1 /DELETE

          Answer: A

          NEW QUESTION 7
          You have a database that contains a table named Email. Change Data Capture (CDC) is enabled for the table. You have a Microsoft SQL Server Integration Services (SSIS) package that contains the Data Flow task shown in the Data Flow exhibit. (Click the Exhibit button.)
          70-767 dumps exhibit
          You have an existing CDC source as shown in the CDC Source exhibit (Click the Exhibit button)

          70-767 dumps exhibit
          and a CDC Splitter transform as shown in the CDC Splitter exhibit. (Click the Exhibit button.)
          70-767 dumps exhibit
          70-767 dumps exhibit
          You need to perform an incremental import of customer email addresses. Before importing email addresses, you must move all previous email addresses to another table for later use.
          For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
          70-767 dumps exhibit

            Answer:

            Explanation: Yes
            Yes Yes No

            NEW QUESTION 8
            You have a data quality project that focuses on the Products catalog for the company. The data includes a product reference number.
            The product reference should use the following format: Two letters followed by an asterisk and then four or five numbers. An example of a valid number is XX*55522. Any reference number that does not conform to the format must be rejected during the data cleansing.
            You need to add a Data Quality Services (DQS) domain rule in the Products domain. Which rule should you use?

            • A. value matches pattern ZA*9876[5]
            • B. value matches pattern AZ[*]1234[5]
            • C. value matches regular expression AZ[*]1234[5]
            • D. value matches pattern [a-zA-Z][a-zA-Z]*[0-9][0-9] [0-9][0-9] [0-9]?

            Answer: A

            Explanation: For a pattern matching rule:
            Any letter (A…Z) can be used as a pattern for any letter; case insensitive Any digit (0…9) can be used as a pattern for any digit
            Any special character, except a letter or a digit, can be used as a pattern for itself Brackets, [], define optional matching
            Example: ABC:0000
            This rule implies that the data will contain three parts: any three letters followed by a colon (:), which is again followed by any four digits.

            NEW QUESTION 9
            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.)
            70-767 dumps exhibit
            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.)
            70-767 dumps exhibit
            You create a Conditional Split transform as shown in the Splitter exhibit. (Click the Exhibit button.)
            70-767 dumps exhibit
            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.
            70-767 dumps exhibit

              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 10
              You have a data warehouse named DW1 that contains 20 years of data. DW1 contains a very large fact table. New data is loaded to the fact table monthly.
              Many reports query DW1 for the past year of data. Users frequently report that the reports are slow.
              You need to modify the fact table to minimize the amount of time it takes to run the reports. The solution must ensure that other reports can continue to be generated from DW1.
              What should you do?

              • A. Move the historical data to SAS disks and move the data from the past year to SSD disk
              • B. Run the ALTERTABLE statement.
              • C. Move all the data to SSD disk
              • D. Load and archive the data by using partition switching.
              • E. Move all the data to SAS disk
              • F. Load and archive the data by using partition switching.
              • G. Move the historical data to SAS disks and move the data for the past year to SSD disk
              • H. Create a distributed partitioned view.

              Answer: A

              Explanation: We use ALTER TABLE to partition the table.

              NEW QUESTION 11
              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:
              You are not permitted to make changes to the client applications. You need to optimize the storage for the data warehouse.
              What change should you make?

              • A. Partition the Fact.Order table, and move historical data to new filegroups on lower-cost storage.
              • B. Create new tables on lower-cost storage, move the historical data to the new tables, and then shrink the database.
              • C. Remove the historical data from the database to leave available space for new data.
              • D. Move historical data to new tables on lower-cost storage.

              Answer: A

              Explanation: Create the load staging table in the same filegroup as the partition you are loading. Create the unload staging table in the same filegroup as the partition you are deleteing.
              From scenario: Data older than one year is accessed infrequently and is considered historical.
              References:
              https://blogs.msdn.microsoft.com/sqlcat/2013/09/16/top-10-best-practices-for-building-a-large-scale-relational-d

              NEW QUESTION 12
              You have a server that has Data Quality Services (DQS) installed.
              You create a matching policy that contains one matching rule.
              You need to configure the Similarity of Similar percentage that defines a match. Which similarity percentage will always generate a similarity score of 0?

              • A. 55
              • B. 80
              • C. 70
              • D. 75

              Answer: A

              Explanation: The minimum similarity between the values of a field is 60%. If the calculated matching score for a field of two records is less than 60, the similarity score is automatically set to 0.
              References:
              https://docs.microsoft.com/en-us/sql/data-quality-services/create-a-matching-policy?view=sql-server-2017

              NEW QUESTION 13
              A company plans to load data from a CSV file that is stored in a Microsoft Azure Blob storage container. You need to load the data.
              How should you complete the Transact-SQL statement? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL 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.
              70-767 dumps exhibit

                Answer:

                Explanation: Create DATABASE CREATE EXTERNAL
                BULK invoice From invoice.csv

                NEW QUESTION 14
                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:
                70-767 dumps exhibit 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.
                70-767 dumps exhibit Partition the Fact.Order table and retain a total of seven years of data.
                70-767 dumps exhibit 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.
                70-767 dumps exhibit Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
                70-767 dumps exhibitMaximize the performance during the data loading process for the Fact.Order partition.
                70-767 dumps exhibit Ensure that historical data remains online and available for querying.
                70-767 dumps exhibit 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.
                70-767 dumps exhibit

                  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 15
                  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 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:
                  70-767 dumps exhibit
                  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.dia_city table to Dimension.city. Data loss is not permissible, and you must not leave traces of the old table in the data warehouse.
                  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 configure the fact. Transaction table.
                  Which three Transact-SQL segments should you use to develop the solution? To answer, move the appropriate Transact-SQL segments from the list of Transact-SQL segments to the answer area and arrange them in the correct order.
                  70-767 dumps exhibit
                  70-767 dumps exhibit

                    Answer:

                    Explanation: 70-767 dumps exhibit

                    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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                    You plan to deploy a Microsoft SQL server that will host a data warehouse named DB1. The server will contain four SATA drives configured as a RAID 10 array.
                    You need to minimize write contention on the transaction log when data is being loaded to the database. Solution: You replace the SATA disks with SSD disks.
                    Does this meet the goal?

                    • A. Yes
                    • B. No

                    Answer: B

                    Explanation: A data warehouse is too big to store on an SSD.
                    Instead you should place the log file on a separate drive. References:
                    https://docs.microsoft.com/en-us/sql/relational-databases/policy-based-management/place-data-and-log-files-on-

                    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 that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                    After you answer a question in this section, you will NOT be able to return to it As a result, these questions will not appear in the review screen.
                    You are the administrator of a Microsoft SOL Server Master Data Services (MDS) instance. The instance contains a model named Geography and a model named customer. The Geography model contains an entity named countryRegion.
                    You need to ensure that the countryRegion entity members are available in the customer model. Solution: In the Geography model, publish a business rule with a Change Value action.
                    Does the solution meet the goal?

                    • A. Yes
                    • B. No

                    Answer: B

                    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 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 the Azure portal.
                    Does the solution meet the goal?

                    • A. Yes
                    • B. No

                    Answer: A

                    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 Note: To pause a database:
                    1. Open the Azure portal and open your database. Notice that the Status is Online.
                    70-767 dumps exhibit
                    2. To suspend compute and memory resources, click Pause, and then a confirmation message appears. Click yes to confirm or no to cancel.
                    References:
                    https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-portal#pause-c

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