Google GCP-DE Exam : Data Engineer

  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Oct 04, 2026
  • Q & A: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ensuring solution quality20%-25%- Security and compliance
  • 1. Manage IAM and access control
  • 2. Implement encryption and compliance controls
  • 3. Protect sensitive data
- Data quality management
  • 1. Validate and clean data
  • 2. Maintain metadata and lineage
  • 3. Implement data governance
Topic 2: Designing data processing systems22%-27%- Designing data pipelines
  • 1. Build ETL and ELT pipelines
  • 2. Design orchestration workflows
  • 3. Optimize pipeline performance and cost
- Designing for data ingestion
  • 1. Select appropriate storage systems
  • 2. Design scalable and reliable ingestion architecture
  • 3. Design batch and streaming ingestion solutions
Topic 3: Building and operationalizing data processing systems28%-33%- Building data processing systems
  • 1. Implement streaming data systems
  • 2. Use BigQuery, Dataflow, Pub/Sub, Dataproc and related services
  • 3. Implement batch processing systems
- Operationalizing systems
  • 1. Monitor data pipelines and workloads
  • 2. Manage logging and alerting
  • 3. Implement fault tolerance and recovery
Topic 4: Managing and optimizing solutions20%-25%- Reliability and scalability
  • 1. Implement disaster recovery strategies
  • 2. Scale data workloads efficiently
  • 3. Design highly available systems
- Managing resources and costs
  • 1. Optimize storage and compute usage
  • 2. Control operational costs
  • 3. Tune query and pipeline performance

Google Data Engineer Sample Questions:

Question #1

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  πŸ—³οΈ

Question #2

What are the minimum permissions needed for a service account used with Google Dataproc?

  • A. Read and write to Google Cloud Storage; write to Google Cloud Logging
  • B. Write to Google Cloud Storage; read to Google Cloud Logging
  • C. Execute to Google Cloud Storage; write to Google Cloud Logging
  • D. Execute to Google Cloud Storage; execute to Google Cloud Logging
Reveal Solution  Discussion  0

Correct Answer: A  πŸ—³οΈ

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Question #3

You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)

  • A. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
  • B. Increase the number of nodes in the Cloud Bigtable cluster
  • C. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
  • D. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
  • E. Configure your Cloud Dataflow pipeline to use local execution
Reveal Solution  Discussion  0

Correct Answer: C,D  πŸ—³οΈ

Question #4

You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

  • A. Cloud Bigtable
  • B. Cloud SQL
  • C. Cloud Spanner
  • D. Cloud Datastore
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

Question #5

Which of the following is NOT true about Dataflow pipelines?

  • A. Dataflow pipelines use a unified programming model, so can work both with streaming and batch data sources
  • B. Dataflow pipelines can be programmed in Java
  • C. Dataflow pipelines can consume data from other Google Cloud services
  • D. Dataflow pipelines are tied to Dataflow, and cannot be run on any other runner
Reveal Solution  Discussion  0

Correct Answer: D  πŸ—³οΈ

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