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April 14, 2019

Microsoft 70-475 Study Guides 2019

We offers microsoft 70 475. "Designing and Implementing Big Data Analytics Solutions", also known as 70-475 exam, is a Microsoft Certification. This set of posts, Passing the 70-475 exam with microsoft 70 475, will help you answer those questions. The exam 70 475 covers all the knowledge points of the real exam. 100% real 70 475 exam and revised by experts!

Online Microsoft 70-475 free dumps demo Below:

NEW QUESTION 1
Your company deploys thousands of sensors.
You plan to join the data from the sensors by using Azure Data Factory. The reference data file refreshes every 30 minutes.
You need to include the path to the reference data in Data Factory. Which path should you include?

  • A. products/{date}/{time}/product_listjson
  • B. products/{sensor_name}/product_list.json
  • C. products/{batch}/product_listjson
  • D. products/{time}/product_list.json

Answer: A

NEW QUESTION 2
Your company has a data visualization solution that contains a customized Microsoft Azure Stream Analytics solution. The solution provides data to a Microsoft Power BI deployment.
Every 10 seconds, you need to query for instances that have more than three records.
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value 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.
70-475 dumps exhibit

    Answer:

    Explanation: Box 1: TumblingWindow(second, 10)
    Tumbling Windows define a repeating, non-overlapping window of time. Example: Calculate the count of sensor readings per device every 10 seconds SELECT sensorId, COUNT(*) AS Count
    FROM SensorReadings TIMESTAMP BY time GROUP BY sensorId, TumblingWindow(second, 10) Box 2: [Count] >= 3
    Count(*) returns the number of items in a group.

    NEW QUESTION 3
    Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while the 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 Azure SQL data warehouse and a web application.
    The data warehouse will ingest 5 TB of data from an on-premises Microsoft SQL Server database daily. The web application will query the data warehouse.
    You need to design a solution to ingest data into the data warehouse.
    Solution: You use AzCopy to transfer the data as text files from SQL Server to Azure Blob storage, and then you use PolyBase to run Transact-SQL statements that refresh the data warehouse database.
    Does this meet the goal?

    • A. Yes
    • B. No

    Answer: A

    Explanation: If you need the best performance, then use PolyBase to import data into Azure SQL warehouse.
    Note: Often the speed of migration is an overriding concern compared to ease of setup and maintainability,
    particularly when there’s a large amount of data to move. Optimizing purely for speed, a source controlled differentiated approach relying on bcp to export data to files, efficiently moving the files to Azure Blob storage, and using the Polybase engine to import from blob storage works best.
    References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-migrate-data

    NEW QUESTION 4
    You plan to implement a Microsoft Azure Data Factory pipeline. The pipeline will have custom business logic that requires a custom processing step.
    You need to implement the custom processing step by using C#.
    Which interface and method should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
    70-475 dumps exhibit

      Answer:

      Explanation: References:
      https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/data-factory/v1/data-factory-use-custom-activ

      NEW QUESTION 5
      Your company has thousands of Internet-connected sensors.
      You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
      Which computing solution should you include in the recommendation?

      • A. Microsoft Azure Stream Analytics
      • B. Microsoft Azure Notification Hubs
      • C. Microsoft Azure Cognitive Services
      • D. a Microsoft Azure HDInsight HBase cluster

      Answer: D

      Explanation: HDInsight HBase is offered as a managed cluster that is integrated into the Azure environment. The clusters are configured to store data directly in Azure Storage or Azure Data Lake Store, which provides low latency and increased elasticity in performance and cost choices. This enables customers to build interactive websites
      that work with large datasets, to build services that store sensor and telemetry data from millions of end points, and to analyze this data with Hadoop jobs. HBase and Hadoop are good starting points for big data project in Azure; in particular, they can enable real-time applications to work with large datasets.

      NEW QUESTION 6
      A Company named Fabrikam, Inc. has a web app. Millions of users visit the app daily.
      Fabrikam performs a daily analysis of the previous day’s logs by scheduling the following Hive query.
      70-475 dumps exhibit
      You need to recommend a solution to gather the log collections from the web app. What should you recommend?

      • A. Generate a single directory that contains multiple files for each da
      • B. Name the file by using the syntax of{date}_{randomsuffix}.txt.
      • C. Generate a directory that is named by using the syntax of "LogDate={date}” and generate a set of files for that day.
      • D. Generate a directory each day that has a single file.
      • E. Generate a single directory that has a single file for each day.

      Answer: B

      NEW QUESTION 7
      You have an application that displays data from a Microsoft Azure SQL database. The database contains credit card numbers.
      You need to ensure that the application only displays the last four digits of each credit card number when a credit card number is returned from a query. The solution must NOT require any changes to the data in the database.
      What should you use?

      • A. Dynamic Data Masking
      • B. cell-level security
      • C. Transparent Data Encryption (TDE)
      • D. row-level security

      Answer: A

      NEW QUESTION 8
      You need to create a query that identifies the trending topics.
      How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value 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.
      70-475 dumps exhibit

        Answer:

        Explanation: From scenario: Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame.
        Box 1: TimeStamp
        Azure Stream Analytics (ASA) is a cloud service that enables real-time processing over streams of data flowing in from devices, sensors, websites and other live systems. The stream-processing logic in ASA is expressed in a SQL-like query language with some added extensions such as windowing for performing temporal calculations.
        ASA is a temporal system, so every event that flows through it has a timestamp. A timestamp is assigned automatically based on the event's arrival time to the input source but you can also access a timestamp in your event payload explicitly using TIMESTAMP BY:
        SELECT * FROM SensorReadings TIMESTAMP BY time Box 2: GROUP BY
        Example: Generate an output event if the temperature is above 75 for a total of 5 seconds SELECT sensorId, MIN(temp) as temp
        FROM SensorReadings TIMESTAMP BY time
        GROUP BY sensorId, SlidingWindow(second, 5) HAVING MIN(temp) > 75
        Box 3: SlidingWindow
        Windowing is a core requirement for stream processing applications to perform set-based operations like counts or aggregations over events that arrive within a specified period of time. ASA supports three types of windows: Tumbling, Hopping, and Sliding.
        With a Sliding Window, the system is asked to logically consider all possible windows of a given length and output events for cases when the content of the window actually changes – that is, when an event entered or existed the window.

        NEW QUESTION 9
        You have structured data that resides in Microsoft Azure Blob Storage.
        You need to perform a rapid interactive analysis of the data and to generate visualizations of the data.
        What is the best type of Azure HDInsight cluster to use to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.

        • A. Apache Storm
        • B. Apache HBase
        • C. Apache Hadoop
        • D. Apache Spark

        Answer: D

        Explanation:
        Reference: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-provision-linux-clusters

        NEW QUESTION 10
        You have a web application that generates several terabytes (TB) of financial documents each day. The application processes the documents in batches.
        You need to store the documents in Microsoft Azure. The solution must ensure that a user can restore the previous version of a document.
        Which type of storage should you use for the documents?

        • A. Azure Cosmos DB
        • B. Azure File Storage
        • C. Azure Data Lake
        • D. Azure Blob storage

        Answer: A

        NEW QUESTION 11
        You have a Microsoft Azure Machine Learning Solution that contains several Azure Data Factory pipeline jobs.
        You discover that the jobs for a dataset named CustomerSalesData fails. You resolve the issue that caused the job to fail.
        You need to rerun the slices for CustomerSalesData. What should you do?

        • A. Run the Set-AzureRMDataFactorySliceStatus cmdlet and specify the–Status Retry parameter.
        • B. Run the Set-AzureRMDataFactorySliceStatus cmdlet and specify the–Status PendingExecution parameter.
        • C. Run the Resume-AzureRMDataFactoryPipeline cmdlet and specify the–Status Retry parameter.
        • D. Run the Resume-AzureRMDataFactoryPipeline cmdlet and specify the–Status PendingExecution parameter.

        Answer: B

        NEW QUESTION 12
        You plan to deploy a Hadoop cluster that includes a Hive installation.
        Your company identifies the following requirements for the planned deployment:
        70-475 dumps exhibit During the creation of the cluster nodes, place JAR files in the clusters.
        70-475 dumps exhibit Decouple the Hive metastore lifetime from the cluster lifetime.
        70-475 dumps exhibit Provide anonymous access to the cluster nodes.
        You need to identify which technology must be used for each requirement.
        Which technology should you identify for each requirement? To answer, drag the appropriate technologies to the correct requirements. Each technology 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.
        70-475 dumps exhibit

          Answer:

          Explanation: 70-475 dumps exhibit

          NEW QUESTION 13
          You have raw data in Microsoft Azure Blob storage. Each data file is 10 KB and is the XML format. You identify the following requirements for the data:
          70-475 dumps exhibit The data must be converted into a flat data structure by using a C# MapReduce job.
          70-475 dumps exhibit The data must be moved to an Azure SQL database, which will then be used to visualize the data.
          70-475 dumps exhibit Additional stored procedures must run against the data once the data is in the database.
          You need to create the workflow for the Azure Data Factory pipeline.
          Which activity type should you use for each requirement? To answer, drag the appropriate workflow components to the correct requirements. Each workflow component may be used once, more than once, or not at all. You may need to drag the split bar between the panes or scroll to view content.
          NOTE: Each correct selection is worth one point.
          70-475 dumps exhibit

            Answer:

            Explanation: Box 1: HDinsightMapReduce
            The HDInsight MapReduce activity in a Data Factory pipeline invokes MapReduce program on your own or on-demand HDInsight cluster.
            Box 2: HDInsightStreaming
            Box 3: SQLServerStoredProcedure

            NEW QUESTION 14
            You have an analytics solution in Microsoft Azure that must be operationalized.
            You have the relevant data in Azure Blob storage. You use an Azure HDInsight Cluster to process the data. You plan to process the raw data files by using Azure HDInsight. Azure Data Factory will operationalize the
            solution.
            You need to create a data factory to orchestrate the data movement. Output data must be written back to Azure Blob storage.
            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.
            70-475 dumps exhibit

              Answer:

              Explanation: 70-475 dumps exhibit

              NEW QUESTION 15
              You are designing an application that will perform real-time processing by using Microsoft Azure Stream Analytics.
              You need to identify the valid outputs of a Stream Analytics job.
              What are three possible outputs that you can use? Each correct answer presents a complete solution.
              NOTE: Each correct selection is worth one point.

              • A. Microsoft Power BI
              • B. Azure SQL Database
              • C. a Hive table in Azure HDInsight
              • D. Azure Blob storage
              • E. Azure Redis Cache

              Answer: ABD

              Explanation: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs

              NEW QUESTION 16
              Your company supports multiple Microsoft Azure subscriptions.
              You plan to deploy several virtual machines to support the services in Azure.
              You need to automate the management of all the subscriptions. The solution must minimize administrative effort.
              Which two cmdlets should you run? Each correct answer presents part of the solution.
              NOTE: Each correct selection is worth one point.

              • A. Clear-AzureProfile
              • B. Add-AzureSubscription
              • C. Add-AzureRMAccount
              • D. Import-AzurePublishSettingsFile
              • E. Get-AzurePublishSettingsFile

              Answer: DE

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