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Download Google : GCP-DE Questions & Answers as PDF & Test Software

Last Updated: Sep 14, 2026

No. of Questions: 77 Questions & Answers with Testing Engine

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Google GCP-DE Practice Q&A's

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Walking into the GCP-DE exam without knowing the question style is a risk you do not need to take. TestSimulate's test engines simulate the exam environment, so by exam day in 2026 the 77 practice questions for Google Data Engineer will feel like familiar ground.

Google GCP-DE Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Professional Data Engineer
Exam Number:GCP-DE
Related Certifications:Google Cloud Certified Professional Data Engineer
Exam Price:$200 USD
Exam Format:Multiple choice, Multiple select
Certificate Validity Period:2 years
Exam Duration:120 minutes
Real Exam Qty:50-60
Passing Score:Not publicly disclosed
Available Languages:Japanese, English
Sample Questions:Google GCP-DE Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:No formal prerequisites. Google recommends 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:https://cloud.google.com/learn/certification/data-engineer

Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Building and operationalizing data processing systems28%-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. Manage logging and alerting
  • 2. Implement fault tolerance and recovery
  • 3. Monitor data pipelines and workloads
Designing data processing systems22%-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 batch and streaming ingestion solutions
  • 3. Design scalable and reliable ingestion architecture
Ensuring solution quality20%-25%- Data quality management
  • 1. Implement data governance
  • 2. Maintain metadata and lineage
  • 3. Validate and clean data
- Security and compliance
  • 1. Manage IAM and access control
  • 2. Protect sensitive data
  • 3. Implement encryption and compliance controls
Managing and optimizing solutions20%-25%- Managing resources and costs
  • 1. Optimize storage and compute usage
  • 2. Control operational costs
  • 3. Tune query and pipeline performance
- Reliability and scalability
  • 1. Scale data workloads efficiently
  • 2. Design highly available systems
  • 3. Implement disaster recovery strategies

Everything Candidates Ask About Google Data Engineer

The GCP-DE exam, officially titled Data Engineer, is the qualifying exam for the Google Cloud Certified certification, which sits at the Professional level. Earning it shows employers that you have the skills the credential stands for, and it is a solid step forward on a Google career path. It also connects to Google Cloud Certified Professional Data Engineer, so the effort you put in now keeps paying off as you advance.

The GCP-DE exam gives you 50-60 questions to complete within 120 minutes. Do the math before exam day: divide the total time by the question count to set a steady per-question pace, and flag any item that stalls you so you can return to it after securing the easier points. The most reliable way to build that rhythm is a full timed practice test under the same limit, which is exactly what TestSimulate's test engines are designed for.

The passing score for Google Data Engineer is Not publicly disclosed, and the official registration fee is $200 USD. Keep in mind that a retake means paying that fee again in full, which makes an honest self-check worthwhile: before you book, sit a timed practice test and make sure you are consistently scoring above the passing line with some margin to spare.

According to the official requirements: No formal prerequisites. Google recommends 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.. Eligibility rules do change from time to time, so confirm the current details on the official exam page before you register.

Yes — TestSimulate offers a free PDF demo of the Google Data Engineer material, so you can review the question style and answer quality before you spend anything. After purchase, you also receive 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.

If you take the corresponding exam within 60 days of your purchase and do not pass, you are covered by the 100% Money Back Guarantee under clear conditions. To claim a full refund, submit a scan of your exam enrollment slip and your official Score Report PDF within two days of the exam; requests are processed within seven days. Note that sitting the exam within three days of purchase is not eligible, purchases that were never followed by an exam sitting do not qualify, free materials and expired orders are excluded, and the candidate name must match the payer name. Prefer an exchange instead? You can swap your product for two free exam packages of equal value and keep your update service. Delivery is immediate: your GCP-DE material is ready for instant download and is also emailed to you within one minute of payment — contact customer service if nothing arrives within two hours. There is no limit on the number of computers you can install it on.

The current Google Data Engineer syllabus is organized into 4 exam domains. The first three are:

  • Managing and optimizing solutions (20%-25%)
  • Building and operationalizing data processing systems (28%-33%)
  • Designing data processing systems (22%-27%)

For the full domain and subtopic breakdown, see the Exam Topics section above — that is the outline your TestSimulate practice questions are mapped to.

Google Data Engineer Sample Questions:

Question #1

You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

  • A. Monitor the total execution time for a sampling of job
  • B. Use Cloud Dataflow to run your transformation
  • C. Use Cloud Dataflow to run your transformation
  • D. Configure the job to use non-default Compute Engine machine types when needed.
  • E. Locate the bottleneck and adjust cluster resources.
  • F. Use Cloud Dataproc to run your transformation
  • G. Use the diagnose command to generate an operational output archiv
  • H. Monitor the job system lag with Stackdrive
  • I. Use Cloud Dataproc to run your transformation
  • J. Monitor CPU utilization for the cluste
  • K. Use the default autoscaling setting for worker instances.
  • L. Resize the number of worker nodes in your cluster via the command line.
Reveal Solution  Discussion  0

Correct Answer: J  🗳️

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

Correct Answer: A  🗳️

Question #3

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

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

Correct Answer: B  🗳️

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

Question #4

What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

  • A. OutputCriteria
  • B. Windows
  • C. Sessions
  • D. Triggers
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

Question #5

You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

  • A. Use the WHERE_PARTITIONTIME pseudo column
  • B. Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
  • C. Use the TABLE_DATE_RANGE function
  • D. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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

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