Data Engineer: GCP-DE Exam

"Data Engineer", also known as GCP-DE exam, is a Google Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 77 Q&As to your GCP-DE Exam preparation. In the GCP-DE exam resources, you will cover every field and category in Google Cloud Certified Certification helping to ready you for your successful Google Certification.

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  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Certification Provider: Google
  • Corresponding Certification: Google Cloud Certified
  • Updated: Oct 18, 2026
  • No. of Questions: 77 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Google GCP-DE Exam Syllabus Topics:

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

Google Data Engineer Sample Questions:

What are two methods that can be used to denormalize tables in BigQuery?

  • A. 1) Use nested repeated fields; 2) Use a partitioned table
  • B. 1) Use a partitioned table; 2) Join tables into one table
  • C. 1) Join tables into one table; 2) Use nested repeated fields
  • D. 1) Split table into multiple tables; 2) Use a partitioned table
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ExamcollectionPass members. You can sign-up / login (it's free).

You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

  • A. Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
  • B. Create a table on Cloud Spanner, and insert and delete rows with the job information
  • C. Create an API using App Engine to receive and send messages to the applications
  • D. Create a table on Cloud SQL, and insert and delete rows with the job information
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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 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
  • B. Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
  • C. Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
  • D. 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
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

When a Cloud Bigtable node fails, is lost.

  • A. the last transaction
  • B. all data
  • C. the time dimension
  • D. no data
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for ExamcollectionPass members. You can sign-up / login (it's free).

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 a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
  • B. 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
  • C. 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
  • 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: B  🗳️

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