Study with Google : GCP-DE Exam Torrent as your best preparation materials
Last Updated: Oct 27, 2026
No. of Questions: 77 Questions & Answers with Testing Engine
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Professional & Latest Exam Preparation materials for GCP-DE Exam
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Google GCP-DE Practice Q&A's
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Past results do not decide your future score — your preparation does. SurePassExams helps you rebuild your study plan for the Google Data Engineer exam with 77 verified practice questions and a free demo so you can judge the quality before you spend anything.
Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Exam |
| Exam Number: | GCP-DE / PDE |
| Related Certifications: | Google Cloud Professional Cloud Architect Google Cloud Associate Cloud Engineer Google Cloud Professional Data Analyst |
| Exam Price: | $200 USD (plus tax where applicable) |
| Passing Score: | Not publicly disclosed (scaled scoring system) |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | English, Japanese |
| Real Exam Qty: | 40 - 50 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Recommended Training: | Official Exam Guide Google Cloud Professional Data Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online-proctored or onsite-proctored at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 3+ years industry experience, 1+ year working with Google Cloud data solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining and automating data workloads | 18% | - Operationalizing workloads
|
| Topic 2: Preparing data for analysis and machine learning | 13% | - Enabling data analysis
|
| Topic 3: Ingesting and processing data | 25% | - Building data pipelines
|
| Topic 4: Designing data processing systems | 24% | - Designing data pipelines
|
| Topic 5: Storing and managing data | 20% | - Optimizing storage performance and cost
|
Common Questions from Retake Candidates
No mandatory prerequisites; recommended 3+ years industry experience, 1+ year working with Google Cloud data solutions
You can confirm the current eligibility requirements on the official GCP-DE exam page before you register.
The Google Data Engineer exam contains 40 - 50 questions, and you will have 120 minutes minutes to complete them. Practicing under the same time pressure is one of the most effective ways to prepare for a retake.
Each of the three versions — PDF, PC test engine, and online test engine — has its own strengths, and the fastest way to find your fit is to try them. Free demos are available for every version, so download each one and compare how the questions, layout, and testing modes feel before you commit.
Our prices are listed openly on the website, and we run discount promotions during special activities throughout the year. Because promotion dates are not fixed, contact our staff to ask about the current activity schedule — they will tell you exactly when the next discount window opens.
The Google Data Engineer practice questions are organized around the official exam objectives. Key topics include:
- Designing data processing systems (24%)
- Maintaining and automating data workloads (18%)
- Preparing data for analysis and machine learning (13%)
Studying topic by topic helps you find the weak areas that cost you points last time.
Many candidates combine practice questions with official training. Recommended options include:
This package includes 77 practice questions for the Google Data Engineer exam, with verified answers reviewed by an experienced team of IT experts and certified professionals.
You can register for the Google Data Engineer exam through the official channels:
The Google Data Engineer exam requires a score of Not publicly disclosed (scaled scoring system) to pass, and the official registration fee is $200 USD (plus tax where applicable). Retake candidates should budget for both the exam fee and a preparation tool that is actually worth the money.
Google Data Engineer Sample Questions:
Which of the following statements is NOT true regarding Bigtable access roles?
- A. Using IAM roles, you cannot give a user access to only one table in a project, rather than all tables in a project.
- B. You can configure access control only at the project level.
- C. To give a user access to only one table in a project, you must configure access through your application.
- D. To give a user access to only one table in a project, grant the user the Bigtable Editor role for that table.
Correct Answer: D 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?
- A. Use Cloud Vision API by providing custom labels as recognition hints.
- B. Use Cloud Vision AutoML with the existing dataset.
- C. Train your own image recognition model leveraging transfer learning techniques.
- D. Use Cloud Vision AutoML, but reduce your dataset twice.
Correct Answer: B 🗳️
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 SQL
- C. Cloud Datastore
- D. Cloud Bigtable
Correct Answer: A 🗳️
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 consume data from other Google Cloud services
- C. Dataflow pipelines can be programmed in Java
- D. Dataflow pipelines are tied to Dataflow, and cannot be run on any other runner
Correct Answer: D 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?
- A. Sink API
- B. ParDo
- C. Source API
- D. Data extraction
Correct Answer: B 🗳️
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