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NEW QUESTION: 1
Universal Containers (UC) is considering updating their Salesforce Release Management process. Which three best practices should UC consider for Release Management? Choose 3 answers
A. Design the right sandbox strategy for the release.
B. Maintain a pre/post deployment checklist for each release.
C. Regression testing is mandatory for each release.
D. Release sign-off is only required for Production.
E. Publish a release calendar for each phase of the release.
Answer: A,B,E

NEW QUESTION: 2
Fault-tolerant cluster-configuration options in Amazon EC2 include:
A. a and b
B. passive/passive
C. active/active
D. active/passive
E. b and c
Answer: D

NEW QUESTION: 3
Your company analyzes images from security cameras and sends 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.

Answer:
Explanation:

Explanation

You can send application logs and metrics from Azure Databricks to a Log Analytics workspace.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
Prerequisites: Configure your Azure Databricks cluster to use the monitoring library.
Note: The monitoring library streams Apache Spark level events and Spark Structured Streaming metrics from your jobs to Azure Monitor.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1. Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 2: Create Dropwizard gauges or counters in your application code.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/databricks-monitoring/application-logs