Get real GCP-DE exam questions for better preparation
Real Google GCP-DE practice exam questions for easy pass!
Updated: Aug 22, 2026
No. of Questions: 77 Questions & Answers with Testing Engine
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Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
| Exam Name: | Professional Data Engineer |
| Exam Number: | GCP-DE |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Multiple select |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | Google Cloud Certified Professional Data Engineer |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 USD |
| Real Exam Qty: | 50-60 |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Building and operationalizing data processing systems | 28%-33% | - Building data processing systems
|
| Designing data processing systems | 22%-27% | - Designing data pipelines
|
| Ensuring solution quality | 20%-25% | - Data quality management
|
| Managing and optimizing solutions | 20%-25% | - Reliability and scalability
|
Google Data Engineer Sample Questions:
1. When a Cloud Bigtable node fails, is lost.
A) the time dimension
B) no data
C) the last transaction
D) all data
2. You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.
A) Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
B) Develop a data pipeline where status updates are appended to BigQuery instead of updated.
C) Preserve the structure of the data as much as possible.
D) Use BigQuery UPDATE to further reduce the size of the dataset.
E) Use BigQuery'ssupport for external data sources to query.
F) Denormalize the data as must as possible.
3. All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.
A) only if
B) before
C) after
D) once
4. 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 are tied to Dataflow, and cannot be run on any other runner
C) Dataflow pipelines can be programmed in Java
D) Dataflow pipelines can consume data from other Google Cloud services
5. You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?
A) BigQuery
B) Cloud Datastore
C) Cloud SQL
D) Cloud Bigtable
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
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