A data engineer has a Dataproc cluster that was used for a one-time data migration. The migration is complete, and the cluster is no longer needed. What is the most appropriate lifecycle action to optimize cost?

Resize the cluster to the minimum number of nodes

Stop the cluster in case it is needed again

Delete the cluster to release all associated resources

Leave the cluster running in case of future needs

A data engineer needs to store historical data that is accessed only once a quarter for compliance audits. Which storage cost optimization strategy is most appropriate?

Duplicate the data across multiple regions for redundancy

Keep the data in the standard storage class but enable versioning

Store the data in a higher-performance storage tier to ensure fast retrieval

Move the data to a lower-cost storage class such as Coldline or Archive

A data engineer is configuring autoscaling for a Dataproc cluster that runs a mix of batch jobs. The jobs have variable resource needs, and the team wants to minimize cost while keeping job completion times reasonable. What is the primary benefit of enabling autoscaling on the cluster?

It automatically adjusts the number of worker nodes based on the current workload

It automatically moves jobs to a different region to reduce cost

It automatically switches between standard and preemptible VMs

It automatically upgrades the cluster's software to the latest version

A data engineer runs a Dataproc batch job that processes a large dataset once a month. The job is not time-sensitive and can tolerate delays. Which cluster type is most cost-effective for this workload?

A job-based cluster that is kept running for a week after the job

Persistent cluster that is stopped when not in use

Job-based cluster that is created for the job and deleted after completion

Persistent cluster that is always running

A data engineering team has a Dataproc cluster that is used only during business hours for interactive analysis. To optimize resource utilization and cost, what lifecycle management policy should they implement?

Delete the cluster at the end of each day and recreate it the next morning

Resize the cluster to zero workers after business hours

Keep the cluster running 24/7 to avoid startup delays

Stop the cluster after business hours and start it again the next morning

Google CloudProfessional Data Engineer

Domain 5Objective 1

5.1 Optimizing Resources PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 2)

Part of the Maintaining and automating data workloads domain, which accounts for ~18% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~9–14 in this domain), expect 2–3 from this objective — we provide 11 practice questions to prepare you well beyond it. (estimate)

11questions here

3free pages

5concepts

~18%of the exam

Questions 6–10

6foundation · easy
A data engineer has a Dataproc cluster that was used for a one-time data migration. The migration is complete, and the cluster is no longer needed. What is the most appropriate lifecycle action to optimize cost?
Select an answer first
7foundation · easy
A data engineer needs to store historical data that is accessed only once a quarter for compliance audits. Which storage cost optimization strategy is most appropriate?
Select an answer first
8foundation · easy
A data engineer is configuring autoscaling for a Dataproc cluster that runs a mix of batch jobs. The jobs have variable resource needs, and the team wants to minimize cost while keeping job completion times reasonable. What is the primary benefit of enabling autoscaling on the cluster?
Select an answer first
9foundation · easy
A data engineer runs a Dataproc batch job that processes a large dataset once a month. The job is not time-sensitive and can tolerate delays. Which cluster type is most cost-effective for this workload?
Select an answer first
10foundation · easy
A data engineering team has a Dataproc cluster that is used only during business hours for interactive analysis. To optimize resource utilization and cost, what lifecycle management policy should they implement?
Select an answer first

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