You have an Azure Data Factory that contains 10 pipelines.
You need to label each pipeline with its main purpose of either ingest, transform, or load. The labels must be available for grouping and filtering when using the monitoring experience in Data Factory.
What should you add to each pipeline?

• A.an annotation
• B.a resource tag
• C.a run group ID
• D.a user property
• E.a correlation ID

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DRAG DROP
Your company analyzes images from security cameras and sends alerts to security teams that respond to unusual activity. The solution uses Azure Databricks.
You need to send Apache Spark level events, Spark Structured Streaming metrics, and application metrics to Azure Monitor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.
Select and Place:

Correct Answer:

Section: [none]
Explanation:
Send application metrics using Dropwizard.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1: Configure your Azure Databricks cluster to use the Databricksmonitoring library.
Prerequisite: Configure your Azure Databricks cluster to use the monitoring library.
Step 2: Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 3: Create Dropwizard counters in your application code Create Dropwizard gauges or counters in your application code

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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 an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts the data into the data warehouse.
Does this meet the goal?

• A.Yes
• B.No

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You plan to move two 100-GB databases to Azure.
You need to dynamically scale resources consumption based on workloads. The solution must minimize
downtime during scaling operations.
What should you use?

• A.An Azure SQL Database elastic pool
• B.SQL Server on Azure virtual machines
• C.an Azure SQL Database managed instance
• D.Azure SQL databases

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You have 20 Azure SQL databases provisioned by using the vCore purchasing model.
You plan to create an Azure SQL Database elastic pool and add the 20 databases.
Which three metrics should you use to size the elastic pool to meet the demands of your workload? Each
correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A.total size of all the databases
• B.geo-replication support
• C.number of concurrently peaking databases * peak CPU utilization per database
• D.maximum number of concurrent sessions for all the databases
• E.total number of databases * average CPU utilization per database

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