Category: MCSA: Data Engineering with Azure Exam Collection

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QUESTION 54
Drag and Drop
You have a Microsoft Azure SQL data warehouse. Users discover that reports running in the data warehouse take longer than expected to complete. You need to review the duration of the queries and which users are running the queries currently. Which dynamic management view should you review for each requirement? (To answer, drag the appropriate dynamic management views to the correct requirements. Each dynamic management view 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.)

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QUESTION 46
You have a Microsoft Azure Data Lake Analytics service and an Azure Data Lake Store. You need to use Python to submit a U-SQL job. Which Python module should you install?

A.    azure-mgmt-datalake-store
B.    azure-mgmt-datalake-analytics
C.    azure-datalake-store
D.    azure-mgmt-resource

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QUESTION 41
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-AzureAutomationJob
B.    Resume-AzureDataFactoryPipeline
C.    Resume-AzureAutomationJob
D.    Set-AzureDataFactotySliceStatus

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QUESTION 36
You plan to use Microsoft Azure Event Hubs to ingest sensor data. You plan to use Azure Stream Analytics to analyze the data in real time and to send the output directly to Azure Data Lake Store. You need to write events to the Data Lake Store in batches. What should you use?

A.    Apache Storm in Azure HDInsight
B.    Stream Analytics
C.    Microsoft SQL Server Integration Services (SSIS)
D.    The Azure CLI

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QUESTION 31
Note: This question is part of a series of questions that present 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.
Start of repeated scenario.
You are migrating an existing on-premises data warehouse named LocalDW to Microsoft Azure. You will use an Azure SQL data warehouse named AzureDW for data storage and an Azure Data Factory named AzureDF for extract, transformation, and load (ETL) functions. For each table in LocalDW, you create a table in AzureDW. On the on-premises network, you have a Data Management Gateway. Some source data is stored in Azure Blob storage. Some source data is stored on an on-premises Microsoft SQL Server instance. The instance has a table named Table1. After data is processed by using AzureDF, the data must be archived and accessible forever. The archived data must meet a Service Level Agreement (SLA) for availability of 99 percent. If an Azure region fails, the archived data must be available for reading always.
End of repeated scenario.
You need to connect AzureDF to the storage account. What should you create?

A.    a gateway
B.    a dataset
C.    a linked service
D.    a pipeline

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QUESTION 26
You are developing an application by using the Microsoft .NET SDK. The application will access data from a Microsoft Azure Data Lake folder. You plan to authenticate the application by using service-to-service authentication. You need to ensure that the application can access the Data Lake folder. Which three actions should you perform? (Each correct answer presents part of the solution. Choose three.)

A.    Register an Azure Active Directory app that uses the Web app/API application type.
B.    Configure the application to use the application ID, authentication key, and tenant ID.
C.    Assign the Azure Active Directory app permission to the Data Lake Store folder.
D.    Configure the application to use the OAuth 2.0 token endpoint.
E.    Register an Azure Active Directory app that uses the Native application type.
F.    Configure the application to use the application ID and redirect URI.

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QUESTION 21
You need to define an input dataset for a Microsoft Azure Data Factory pipeline. Which properties should you include when you define the dataset?

A.    name, type, typeProperties, and availability
B.    name, typeProperties, structure, and availability
C.    name, policy, structure, and external
D.    name, type, policy, and structure

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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 have a table named Table1 that contains 3 billion rows. Table1 contains data from the last 36 months. At the end of every month, the oldest month of data is removed based on a column named DateTime. You need to minimize how long it takes to remove the oldest month of data.
Solution: You specify DateTime as the hash distribution column.
Does this meet the goal?

A.    Yes
B.    No