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NEW QUESTION: 1
HOTSPOT
You are managing the automation of your company's Azure resources.
You need to choose the appropriate tool to automate specific use cases.
Which tool should you choose for each use case? To answer, select the appropriate tool from each list in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Answer:
Explanation:

Explanation/Reference:
References:
https://docs.microsoft.com/en-us/azure/automation/automation-intro
https://docs.microsoft.com/en-us/azure/virtual-machines/scripts/virtual-machines-windows-powershell- sample-create-iis-using-dsc-auto
https://docs.microsoft.com/en-us/azure/automation/automation-dsc-compile

NEW QUESTION: 2
Drag and Drop Question
Select and Place:

Answer:
Explanation:

NEW QUESTION: 3
A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.
The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.
Which solution should the Data Scientist build to satisfy the requirements?
A. Use Amazon Kinesis Data Analytics to ingest the streaming data and perform real-time SQL queries to convert the records to Apache Parquet before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
B. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and inserts it into an Amazon RDS PostgreSQL database. Have the Analysts query and run dashboards from the RDS database.
C. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and writes the data to a processed data location in Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
D. Create a schema in the AWS Glue Data Catalog of the incoming data format. Use an Amazon Kinesis Data Firehose delivery stream to stream the data and transform the data to Apache Parquet or ORC format using the AWS Glue Data Catalog before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
Answer: D

NEW QUESTION: 4
Sie haben den Microsoft Azure-ATP-Arbeitsbereich (Advanced Threat Protection), der in der Arbeitsbereichsausstellung angezeigt wird. (Klicken Sie auf die Registerkarte Arbeitsbereich.)

Die Sensoreinstellungen für den Arbeitsbereich werden wie in der Sensorausstellung gezeigt konfiguriert. (Klicken Sie auf die Registerkarte Sensoren.)

Sie müssen sicherstellen, dass Azure ATP Daten in Asien speichert.
Welche drei Aktionen sollten Sie nacheinander ausführen? Verschieben Sie zum Beantworten die entsprechenden Aktionen aus der Liste der Aktionen in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

Answer:
Explanation:

Explanation:
https://docs.microsoft.com/en-us/azure-advanced-threat-protection/install-atp-step1