Exam Name: Data Engineer
Certification Provider: Google
Corresponding Certification: Google Cloud Certified
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Instant Download Google : GCP-DE Questions & Answers as PDF & Test Engine
Updated: Sep 16, 2026
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- Total Questions: 77
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- Total Questions: 77
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Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Certification Exam |
| Exam Number: | PDE |
| Available Languages: | English, Japanese |
| Related Certifications: | Google Cloud Associate Cloud Engineer Google Cloud Professional Machine Learning Engineer |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | Approximately 50–60 |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Proctored online or onsite (Kryterion Webassessor), Multiple select |
| Exam Price: | $200 USD |
| Recommended Training: | Google Cloud Skills Boost - Data Engineering Path Coursera - Google Cloud Data Engineering Professional Certificate |
| Exam Registration: | Kryterion Webassessor Portal Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or test center (Kryterion Webassessor) |
| Pre Condition: | No mandatory prerequisites, but Associate Cloud Engineer or equivalent experience recommended |
| Official Syllabus URL: | https://cloud.google.com/certification/data-engineer |
Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining and optimizing data and ML solutions | 20% | - Security and governance
|
| Topic 2: Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
| Topic 3: Designing data processing systems | 20% | - Storage and data modeling
|
| Topic 4: Building and operationalizing data processing systems | 30% | - Data ingestion and transformation
|
FAQs for Google Data Engineer Candidates
The GCP-DE exam leads to the Professional Data Engineer certification from Google Cloud. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Google Data Engineer.
Related certifications include:
- Google Cloud Associate Cloud Engineer
- Google Cloud Professional Machine Learning Engineer
The GCP-DE exam includes Approximately 50–60 questions and allows 120 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for GCP-DE is Not publicly disclosed, and the official exam fee is $200 USD. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No mandatory prerequisites, but Associate Cloud Engineer or equivalent experience recommended
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online proctored or test center (Kryterion Webassessor).
The official training options include:
- Google Cloud Skills Boost - Data Engineering Path
- Coursera - Google Cloud Data Engineering Professional Certificate
After reviewing the recommended training, reinforce what you learned with Actual4dump's 77 practice questions for GCP-DE.
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The current GCP-DE outline is organized into 4 top-level domains. The first listed areas include:
- Operationalizing data and ML pipelines (30%)
- Maintaining and optimizing data and ML solutions (20%)
- Designing data processing systems (20%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Google Data Engineer Sample Questions:
What are all of the BigQuery operations that Google charges for?
- A. Storage, queries, and exporting data
- B. Storage, queries, and streaming inserts
- C. Queries and streaming inserts
- D. Storage, queries, and loading data from a file
Correct Answer: B 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?
- A. Use at least 300 GB of data.
- B. Before you test, run a heavy pre-test for several minutes.
- C. Run your test for at least 10 minutes.
- D. Do not use a production instance.
Correct Answer: D 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
You are building a new application that you need to collect data from in a scalable way. Data arrives continuously from the application throughout the day, and you expect to generate approximately 150 GB of JSON data per day by the end of the year. Your requirements are: Decoupling producer from consumer Space and cost-efficient storage of the raw ingested data, which is to be stored indefinitely Near real-time SQL query Maintain at least 2 years of historical data, which will be queried with SQ Which pipeline should you use to meet these requirements?
- A. Create an application that publishes events to Cloud Pub/Sub, and create a Cloud Dataflow pipeline that transforms the JSON event payloads to Avro, writing the data to Cloud Storage and BigQuery.
- B. Create an application that publishes events to Cloud Pub/Sub, and create Spark jobs on Cloud Dataproc to convert the JSON data to Avro format, stored on HDFS on Persistent Disk.
- C. Create an application that provides an AP
- D. Write a tool to poll the API and write data to Cloud Storage as gzipped JSON files.
- E. Set up periodic exports of the database to write to Cloud Storage and load into BigQuery.
- F. Create an application that writes to a Cloud SQL database to store the dat
Correct Answer: C 🗳️
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?
- A. BigQuery
- B. Cloud Bigtable
- C. Cloud SQL
- D. Cloud Datastore
Correct Answer: A 🗳️
Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?
- A. A sequential numeric ID
- B. A non-sequential numeric ID
- C. A stock symbol followed by a timestamp
- D. A timestamp followed by a stock symbol
Correct Answer: A,D 🗳️
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