You need to receive an alert when Azure SQL Data Warehouse consumes the maximum allotted resources.
Which resource type and signal should you use to create the alert in Azure Monitor? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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You plan to perform batch processing in Azure Databricks once daily.
Which type of Databricks cluster should you use?

• A.job
• B.interactive
• C.High Concurrency

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You need to implement an Azure Databricks cluster that automatically connects to Azure Data Lake Storage Gen2 by using Azure Active Directory (Azure AD) integration.
How should you configure the new cluster? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:
Box 1: High Concurrency
Enable Azure Data Lake Storage credential passthrough for a high-concurrency cluster.
Incorrect:
Support for Azure Data Lake Storage credential passthrough on standard clusters is in Public Preview.
Standard clusters with credential passthrough are supported on Databricks Runtime 5.5 and above and are limited to a single user.
Box 2: Azure Data Lake Storage Gen1 Credential Passthrough
You can authenticate automatically to Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2 from Azure Databricks clusters using the same Azure Active Directory (Azure AD) identity that you use to log into Azure Databricks. When you enable your cluster for Azure Data Lake Storage credential passthrough, commands that you run on that cluster can read and write data in Azure Data Lake Storage without requiring you to configure service principal credentials for access to storage.
References:
https://docs.azuredatabricks.net/spark/latest/data-sources/azure/adls-passthrough.html

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You need to set up Azure Data Factory pipelines to meet data movement requirements.
Which integration runtime should you use?

• A.self-hosted integration runtime
• B.Azure-SSIS Integration Runtime
• C..NET Common Language Runtime (CLR)
• D.Azure integration runtime

Correct Answer: A

The following table describes the capabilities and network support for each of the integration runtime types:

Scenario: The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and updating of data both in the cloud and from local core business systems and repositories.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime

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Each day, company plans to store hundreds of files in Azure Blob Storage and Azure Data Lake Storage.
The company uses the parquet format.
You must develop a pipeline that meets the following requirements:
Process data every six hours

Offer interactive data analysis capabilities

Offer the ability to process data using solid-state drive (SSD) caching

Use Directed Acyclic Graph(DAG) processing mechanisms

Provide support for REST API calls to monitor processes

Provide native support for Python

Integrate with Microsoft Power BI

You need to select the appropriate data technology to implement the pipeline.
Which data technology should you implement?

• A.Azure SQL Data Warehouse
• B.HDInsight Apache Storm cluster
• C.Azure Stream Analytics
• D.HDInsight Apache Hadoop cluster using MapReduce
• E.HDInsight Spark cluster

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