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April 14, 2019

Highest Quality 70-475 Free Practice Questions 2019

We provide 70 475 exam which are the best for clearing 70-475 test, and to get certified by Microsoft Designing and Implementing Big Data Analytics Solutions. The exam 70 475 covers all the knowledge points of the real 70-475 exam. Crack your Microsoft 70-475 Exam with latest dumps, guaranteed!

Microsoft 70-475 Free Dumps Questions Online, Read and Test Now.

NEW QUESTION 1
You have a Microsoft Azure Data Factory pipeline.
You discover that the pipeline fails to execute because data is missing. You need to rerun the failure in the pipeline.
Which cmdlet should you use?

  • A. Set-AzureRmAutomationJob
  • B. Set-AzureRmDataFactorySliceStatus
  • C. Resume-AzureRmDataFactoryPipeline
  • D. Resume-AzureRmAutomationJob

Answer: B

Explanation: Use some PowerShell to inspect the ADF activity for the missing file error. Then simply set the dataset slice to either skipped or ready using the cmdlet to override the status.
For example:
Set-AzureRmDataFactorySliceStatus `
-ResourceGroupName $ResourceGroup `
-DataFactoryName $ADFName.DataFactoryName `
-DatasetName $Dataset.OutputDatasets `
-StartDateTime $Dataset.WindowStart `
-EndDateTime $Dataset.WindowEnd `
-Status "Ready" `
-UpdateType "Individual" References:
https://stackoverflow.com/questions/42723269/azure-data-factory-pipelines-are-failing-when-no-files-available-

NEW QUESTION 2
Your company has two Microsoft Azure SQL databases named db1 and db2.
You need to move data from a table in db1 to a table in db2 by using a pipeline in Azure Data Factory. You create an Azure Data Factory named ADF1.
Which two types Of objects Should you create In ADF1 to complete the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. a linked service
  • B. an Azure Service Bus
  • C. sources and targets
  • D. input and output I datasets
  • E. transformations

Answer: AD

Explanation: You perform the following steps to create a pipeline that moves data from a source data store to a sink data store:
70-475 dumps exhibit Create linked services to link input and output data stores to your data factory.
70-475 dumps exhibit Create datasets to represent input and output data for the copy operation.
70-475 dumps exhibit Create a pipeline with a copy activity that takes a dataset as an input and a dataset as an output.

NEW QUESTION 3
You are designing an Apache HBase cluster on Microsoft Azure HDInsight. You need to identify which nodes are required for the cluster.
Which three nodes should you identify? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. Nimbus
  • B. Zookeeper
  • C. Region
  • D. Supervisor
  • E. Falcon
  • F. Head

Answer: BCF

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

NEW QUESTION 4
You need to recommend a permanent Azure Storage solution for the activity data. The solution must meet the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.

  • A. Azure SQL Database
  • B. Azure Queue storage
  • C. Azure Blob storage
  • D. Azure Event Hubs

Answer: A

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 states 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 have an Apache Spark system that contains 5 TB of data.
You need to write queries that analyze the data in the system. The queries must meet the following requirements:
70-475 dumps exhibit Use static data typing.
70-475 dumps exhibit Execute queries as quickly as possible.
70-475 dumps exhibit Have access to the latest language features. Solution: You write the queries by using Java.

  • A. Yes
  • B. No

Answer: B

NEW QUESTION 6
Your company has 2000 servers.
You plan to aggregate all of the log files from the servers in a central repository that uses Microsoft Azure HDInsight. Each log file contains approximately one million records. All of the files use the .log file name extension.
The following is a sample of the entries in the log files.
20:26:41 SampleClass3 (ERROR) verbose detail for id 1527353937
In Apache Hive, you need to create a data definition and a query capturing tire number of records that have an error level of [ERROR].
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
70-475 dumps exhibit

    Answer:

    Explanation: Box 1: table
    Box 2: /t
    Apache Hive example:
    CREATE TABLE raw (line STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n';
    Box 3: count(*)
    Box 4: '*.log'

    NEW QUESTION 7
    You deploy a Microsoft Azure SQL database.
    You create a job to upload customer data to the database.
    You discover that the job cannot connect to the database and fails. You verify that the database runs successfully in Azure.
    You need to run the job successfully. What should you create?

    • A. a virtual network rule
    • B. a network security group (NSG)
    • C. a firewall rule
    • D. a virtual network

    Answer: C

    Explanation: If the application persistently fails to connect to Azure SQL Database, it usually indicates an issue with one of the following:
    Firewall configuration. The Azure SQL database or client-side firewall is blocking connections to Azure SQL Database.
    Network reconfiguration on the client side: for example, a new IP address or a proxy server.
    User error: for example, mistyped connection parameters, such as the server name in the connection string. References:
    https://docs.microsoft.com/en-us/azure/sql-database/sql-database-troubleshoot-common-connection-issues

    NEW QUESTION 8
    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 states 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 implement a new data warehouse.
    You have the following information regarding the data warehouse:
    70-475 dumps exhibit The first data files for the data warehouse will be available in a few days.
    70-475 dumps exhibit Most queries that will be executed against the data warehouse are ad-hoc.
    70-475 dumps exhibit The schemas of data files that will be loaded to the data warehouse change often.
    70-475 dumps exhibit One month after the planned implementation, the data warehouse will contain 15 TB of data. You need to recommend a database solution to support the planned implementation.
    Solution: You recommend an Apache Spark system. Does this meet the goal?

    • A. Yes
    • B. No

    Answer: B

    NEW QUESTION 9
    You have a Microsoft Azure Data Factory pipeline that contains an input dataset.
    You need to ensure that the data from Azure Table Storage is copied only if the table contains 1,000 records or more.
    Which policy setting should you use in JSON?
    70-475 dumps exhibit

    • A. Option A
    • B. Option B
    • C. Option C
    • D. Option D

    Answer: B

    Explanation: The following JSON defines a Linux-based on-demand HDInsight linked service. The Data Factory service automatically creates a Linux-based HDInsight cluster to process the required activity.
    {
    "name": "HDInsightOnDemandLinkedService", "properties": {
    "type": "HDInsightOnDemand", "typeProperties": { "clusterType": "hadoop", "clusterSize": 1,
    "timeToLive": "00:15:00", "hostSubscriptionId": "<subscription ID>", "servicePrincipalId": "<service principal ID>", "servicePrincipalKey": {
    "value": "<service principal key>", "type": "SecureString"
    },
    "tenant": "<tenent id>",
    "clusterResourceGroup": "<resource group name>", "version": "3.6",
    "osType": "Linux", "linkedServiceName": {
    "referenceName": "AzureStorageLinkedService", "type": "LinkedServiceReference"
    }
    },
    "connectVia": {
    "referenceName": "<name of Integration Runtime>", "type": "IntegrationRuntimeReference"
    }
    }
    }
    References: https://docs.microsoft.com/en-us/azure/data-factory/compute-linked-services

    NEW QUESTION 10
    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.
    Your company has multiple databases that contain millions of sales transactions. You plan to implement a data mining solution to identity purchasing fraud.
    You need to design a solution that mines 10 terabytes (TB) of sales data. The solution must meet the following requirements:
    70-475 dumps exhibit Run the analysis to identify fraud once per week.
    70-475 dumps exhibit Continue to receive new sales transactions while the analysis runs.
    70-475 dumps exhibit Be able to stop computing services when the analysis is NOT running. Solution: You create a Microsoft Azure HDlnsight cluster.
    Does this meet the goal?

    • A. Yes
    • B. No

    Answer: B

    Explanation: HDInsight cluster billing starts once a cluster is created and stops when the cluster is deleted. Billing is pro-rated per minute, so you should always delete your cluster when it is no longer in use.

    NEW QUESTION 11
    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 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 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 Azure Data Factory to refresh the data warehouse database.
    Does this meet the goal?

    • A. Yes
    • B. No

    Answer: B

    NEW QUESTION 12
    You have a data warehouse that contains the sales data of several customers.
    You plan to deploy a Microsoft Azure data factory to move additional sales data to the data warehouse. You need to develop a data factory job that reads reference data from a table in the source data.
    Which type of activity should you add to the control flow of the job?

    • A. a ForEach activity
    • B. a lookup activity
    • C. a web activity
    • D. a GetMetadata activity

    Answer: B

    Explanation: References:
    https://docs.microsoft.com/en-us/azure/data-factory/control-flow-lookup-activity

    NEW QUESTION 13
    You plan to create a Microsoft Azure Data Factory pipeline that will connect to an Azure HDInsight cluster that uses Apache Spark.
    You need to recommend which file format must be used by the pipeline. The solution must meet the following requirements:
    70-475 dumps exhibit Store data in the columnar format
    70-475 dumps exhibit Support compression
    Which file format should you recommend?

    • A. XML
    • B. AVRO
    • C. text
    • D. Parquet

    Answer: D

    Explanation: Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
    Apache Parquet supports compression.

    NEW QUESTION 14
    You plan to deploy Microsoft Azure HDInsight clusters for business analytics and data pipelines. The clusters must meet the following requirements:
    70-475 dumps exhibit Business users must use a language that is similar to SQL.
    70-475 dumps exhibit The authoring of data pipelines must occur in a dataflow language. You need to identify which language must be used for each requirement.
    Which languages should you identify? To answer, drag the appropriate languages to the correct requirements. Each language 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 15
      You need to design the data load process from DB1 to DB2. Which data import technique should you use in the design?

      • A. PolyBase
      • B. SQL Server Integration Services (SSIS)
      • C. the Bulk Copy Program (BCP)
      • D. the BULK INSERT statement

      Answer: C

      NEW QUESTION 16
      You are designing an Internet of Things (IoT) solution intended to identify trends. The solution requires the
      real-time analysis of data originating from sensors. The results of the analysis will be stored in a SQL database.
      You need to recommend a data processing solution that uses the Transact-SQL language. Which data processing solution should you recommend?

      • A. Microsoft Azure Stream Analytics
      • B. Microsoft Azure HDInsight Spark clusters
      • C. Microsoft Azure Event Hubs
      • D. Microsoft Azure HDInsight Hadoop clusters

      Answer: A

      Explanation: For your Internet of Things (IoT) scenarios that use Event Hubs, Azure Stream Analytics can serve as a possible first step to perform near real-time analytics on telemetry data. Just like Event Hubs, Steam Analytics supports the streaming of millions of event per second. Unlike a standard database, analysis is performed on data in motion. This streaming input data can also be combined with reference data inputs to perform lookups or do correlation to assist in unlocking business insights. It uses a SQL-like language to simplify the analysis of data inputs and detect anomalies, trigger alerts or transform the data in order to create valuable outputs

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