What is the primary benefit of deploying a data processing job across multiple zones in a single region?

Reduced network latency between job components

Protection against a regional outage

Protection against a zone-level failure

A data pipeline uses a Cloud Composer environment to orchestrate daily jobs. One of the jobs occasionally fails due to transient errors. The team wants to automatically retry the failed job without manual intervention, but they also want to avoid duplicate processing if the job partially completed. What should they configure?

Enable retries on the Airflow task and make the job idempotent.

Increase the number of workers in the environment.

Use a different scheduler that does not support retries.

Disable retries and manually re-run the job when it fails.

A company runs a critical application that depends on a Cloud SQL for MySQL instance. They need to ensure that if the primary instance fails, the application can continue with minimal downtime. They also want to avoid any manual steps during the failover. What should they do?

Set up a cron job to check the primary instance and switch the application's connection string if it fails.

Enable high availability (HA) configuration on the instance and configure the application to use the instance's private IP address.

Create a read replica and manually promote it when the primary fails.

Use a connection string that points to a different instance in another project.

A data pipeline ingests files from an external source. Which practice is most effective for detecting data corruption early in the pipeline?

Scheduling the job to run at off-peak hours

Performing checksum validation on ingested files

Using a larger machine type for processing

Storing files in a multi-regional bucket

Google CloudProfessional Data Engineer

Domain 5Objective 5

5.5 Maintaining Awareness of Failures and Mitigating Impact 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 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

8concepts

~18%of the exam

Questions 6–10

6foundation · easy
What is the primary benefit of deploying a data processing job across multiple zones in a single region?
Select an answer first
7application · medium
A data pipeline uses a Cloud Composer environment to orchestrate daily jobs. One of the jobs occasionally fails due to transient errors. The team wants to automatically retry the failed job without manual intervention, but they also want to avoid duplicate processing if the job partially completed. What should they configure?
Select an answer first
8expert · hard
A company runs a critical application that depends on a Cloud SQL for MySQL instance. They need to ensure that if the primary instance fails, the application can continue with minimal downtime. They also want to avoid any manual steps during the failover. What should they do?
Select an answer first
9foundation · easy
A data pipeline ingests files from an external source. Which practice is most effective for detecting data corruption early in the pipeline?
Select an answer first
10foundation · easy
A database system replicates data to a secondary location. The primary waits for the secondary to acknowledge the write before confirming it to the application. Which replication strategy is being used?
Select an answer first

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5.5 Maintaining Awareness of Failures and Mitigating Impact PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 2)

Questions 6–10

What is the primary benefit of deploying a data processing job across multiple zones in a single region?

A company runs a critical application that depends on a Cloud SQL for MySQL instance. They need to ensure that if the primary instance fails, the application can continue with minimal downtime. They also want to avoid any manual steps during the failover. What should they do?

A data pipeline ingests files from an external source. Which practice is most effective for detecting data corruption early in the pipeline?

A database system replicates data to a secondary location. The primary waits for the secondary to acknowledge the write before confirming it to the application. Which replication strategy is being used?

Keep studying — Maintaining and automating data workloads