Google Data Engineer : GCP-DE Exam Questions

Exam Code: GCP-DE
Exam Name: Data Engineer
Updated: Oct 07, 2026
Q&As: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

Section	Weight	Objectives
Managing and optimizing solutions	20%-25%	- Reliability and scalability 1. Implement disaster recovery strategies 2. Design highly available systems 3. Scale data workloads efficiently - Managing resources and costs 1. Optimize storage and compute usage 2. Control operational costs 3. Tune query and pipeline performance
Designing data processing systems	22%-27%	- Designing data pipelines 1. Optimize pipeline performance and cost 2. Design orchestration workflows 3. Build ETL and ELT pipelines - Designing for data ingestion 1. Select appropriate storage systems 2. Design scalable and reliable ingestion architecture 3. Design batch and streaming ingestion solutions
Building and operationalizing data processing systems	28%-33%	- Building data processing systems 1. Implement streaming data systems 2. Implement batch processing systems 3. Use BigQuery, Dataflow, Pub/Sub, Dataproc and related services - Operationalizing systems 1. Monitor data pipelines and workloads 2. Implement fault tolerance and recovery 3. Manage logging and alerting
Ensuring solution quality	20%-25%	- Data quality management 1. Validate and clean data 2. Implement data governance 3. Maintain metadata and lineage - Security and compliance 1. Implement encryption and compliance controls 2. Protect sensitive data 3. Manage IAM and access control

Google Data Engineer Sample Questions:

Question #1

You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A. Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
B. Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
C. Create an authorized view in BigQuery to restrict access to tables with sensitive data.
D. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
E. Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Question #2

Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

A. Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
B. Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
C. Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
D. Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Question #3

You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

A. An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
B. An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
C. An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
D. An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination

Reveal Solution Discussion 0

Correct Answer: A 🗳️

Question #4

You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A. Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
B. Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
C. Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
D. Create a cron schedule in Cloud Dataprep.

Reveal Solution Discussion 0

Correct Answer: A 🗳️

Question #5

The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .