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:
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
Sequence provided as the answer is wrong. Correct answer is - 1. Configure your Azure Databricks cluster to use the monitoring library 2. Create dropwizard counters in application code 3. Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR Ref - https://docs.microsoft.com/en-us/azure/architecture/databricks-monitoring/application-logs
your link provided right answer but your answer is wrong
What is it then?
The given answer by ExamTopics is correct!
The given answer by ExamTopics is correct!
What is it then?
The given answer by ExamTopics is correct!
The given answer by ExamTopics is correct!
the given answer is CORRECT. 1. config databrick cluster to use the monitoring libirary (Prerequisites) 2. build spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file 3. create dropwizard counters in application code ref https://docs.microsoft.com/en-us/azure/architecture/databricks-monitoring/application-logs
Provided answer is correct