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070-475 PDF DEMO:

QUESTION NO: 1
You need to automate the creation of a new Microsoft Azure data factory.
What are three possible technologies that you can use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point
A. the SOAP service
B. the Microsoft .NET framework class library
C. T-SQL statements
D. Azure PowerShell cmdlets
E. the REST API
Answer: B,D,E
Explanation
https://docs.microsoft.com/en-us/azure/data-factory/data-factory-introduction

QUESTION NO: 2
You have an Apache Hive cluster in Microsoft Azure HDInsight. The cluster contains 10 million data files.
You plan to archive the data.
The data will be analyzed monthly.
You need to recommend a solution to move and store the data. The solution must minimize how long it takes to move the data and must minimize costs.
Which two services should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Azure Data Factory
B. Azure Data Lake
C. Azure Table Storage
D. Microsoft SQL Server Integration Services (SSIS)
E. Azure Queue storage
Answer: A,B
Explanation
D: To analyze data in HDInsight cluster, you can store the data either in Azure Storage, Azure Data
Lake Storage Gen 1/Azure Data Lake Storage Gen 2, or both. Both storage options enable you to safely delete HDInsight clusters that are used for computation without losing user data.
E: The Spark activity in a Data Factory pipeline executes a Spark program on your own or on-demand
HDInsight cluster. It handles data transformation and the supported transformation activities.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-use-data-lake-store
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-spark

QUESTION NO: 3
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. a Hive table in Azure HDInsight
B. Azure SQL Database
C. Microsoft Power BI
D. Azure Blob storage
E. Azure Redis Cache
Answer: B,C,D
Explanation
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs

QUESTION NO: 4
You use Microsoft Azure Data Factory to orchestrate data movements and data transformations within Azure.
You plan to monitor the data factory to ensure that all of the activity slices run successfully. You need to identify a solution to rerun failed slices. What should you do?
A. Move the data factory to a different resource group.
B. Delete and recreate the data factory.
C. From the Azure portal, select the Data slice blade, and then click Run.
D. From the Diagram tile on the Data Factory blade of the Azure portal, double-click the pipeline that has a failed slice.
Answer: A

QUESTION NO: 5
You plan to analyze the execution logs of a pipeline to identify failures by using Microsoft power BI.
You need to automate the collection of monitoring data for the planned analysis.
What should you do from Microsoft Azure?
A. Add a Log Profile
B. Create an Alert Rule Email
C. Save a Data Factory Log
D. Create a Data Factory Set
Answer: D
Explanation
You can import the results of a Log Analytics log search into a Power BI dataset so you can take advantage of its features such as combining data from different sources and sharing reports on the web and mobile devices.
To import data from a Log Analytics workspace into Power BI, you create a dataset in Power BI based on a log search query in Log Analytics. The query is run each time the dataset is refreshed. You can then build Power BI reports that use data from the dataset.
References: https://docs.microsoft.com/en-us/azure/azure-monitor/platform/powerbi

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Updated: May 27, 2022