Google Cloud Professional Data Engineer Exam

What should you do if you need to prevent interference between multiple jobs executing on the same Dataproc cluster?

1. Use a single cluster for all jobs to save costs.

2. Run high-priority jobs only.

3. Set up dedicated ephemeral clusters for each job.

4. Utilize cluster autoscaling effectively.

The correct answer is: Set up dedicated ephemeral clusters for each job.

Setting up dedicated ephemeral clusters for each job is the most effective strategy for preventing interference between multiple jobs executing on the same Dataproc cluster. When jobs are run in isolation within their own clusters, this ensures that resource allocations—such as CPU, memory, and disk I/O—are not shared or contested among the jobs. This isolation significantly reduces the possibility of resource contention, leading to predictable performance and reliability. Dedicated ephemeral clusters can be created as needed and terminated once the jobs are completed, allowing you to optimize resource utilization while avoiding any negative impact from simultaneous job execution. This way, you maintain complete control over the environment for each job and can configure the cluster settings tailored to the specific needs of that job without worrying about others. Using a single cluster for all jobs, running only high-priority jobs, or relying on cluster autoscaling introduces complexities that may lead to degraded performance, as jobs could still contend for resources even with prioritization or scalability measures in place.