Databricks Data Engineer Professional Question 250
Select 3You are a data engineer tasked with deploying a structured streaming job in Databricks that processes real-time sales data from a Kafka topic and writes the aggregated results to a Delta table. The job is expected to run continuously, and you need to ensure it is reliable and monitored effectively in production. Which of the following steps should you take to deploy and monitor the streaming job successfully?
- A
Enable checkpointing in the streaming query to maintain state and recover from failures.
- B
Deploy the job as an interactive notebook and manually trigger it whenever required.
- C
Use Structured Streaming metrics in the Databricks UI to monitor the job's performance.
- D
Configure a trigger interval for the streaming query to optimize resource usage and latency.
- E
Disable automatic retries for the streaming query to avoid overloading the cluster in case of failures.
Show answer and explanation
Correct answers: A, C, D
Explanation
To deploy and monitor a streaming job successfully in Databricks, you need to enable checkpointing to maintain state and recover from failures, monitor the job using Structured Streaming metrics in the Databricks UI, and configure an appropriate trigger interval to optimize performance. Avoiding practices like manual triggering of jobs or disabling retries ensures the job is reliable and automated for production use.
- A. Correct.
Enabling checkpointing is essential for maintaining the state of the streaming query and ensuring fault tolerance. Without it, the job cannot recover from failures.
- B. Incorrect.
Deploying the job as an interactive notebook and manually triggering it is not a best practice for production. Instead, you should use a scheduled or continuously running job.
- C. Correct.
Using Structured Streaming metrics in the Databricks UI is a recommended practice for monitoring the health and performance of streaming jobs in production.
- D. Correct.
Configuring a trigger interval helps balance resource usage and processing latency, making it a key step in optimizing the streaming job.
- E. Incorrect.
Disabling automatic retries is not recommended as retries help the streaming job recover from transient failures. Proper retry configurations are crucial for reliability.