PDF Version DemoGetcertkey offers Professional-Data-Engineer exam preparation in three flexible formats: a printable PDF for study anywhere, a desktop test engine for realistic offline practice, and an online test engine that runs in any browser. However you prefer to prepare, the Google Certified Professional Data Engineer material fits your routine.
Google Professional-Data-Engineer Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Exam |
| Exam Number: | Professional-Data-Engineer |
| Real Exam Qty: | 40 - 50 |
| Related Certifications: | Google Cloud Professional Cloud Architect Google Cloud Professional Data Analyst Google Cloud Associate Cloud Engineer |
| Available Languages: | Japanese, English |
| Exam Price: | USD 200 (plus tax where applicable) |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple select, Multiple choice |
| Certificate Validity Period: | 2 years |
| Passing Score: | 700 / 1000 |
| Recommended Training: | Google Cloud Professional Data Engineer Learning Path Official Exam Guide |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: |  |
| Exam Way: | Online-proctored or onsite-proctored |
| Pre Condition: | No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud data solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
Google Professional-Data-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ensuring solution quality and reliability | 17% | - Troubleshooting and optimization
|
| Topic 2: Designing data processing systems | 20% | - Designing for regulatory and security requirements
|
| Topic 3: Building and operationalizing data processing systems | 25% | - Building data pipelines
|
| Topic 4: Operationalizing machine learning models | 20% | - Preparing data for ML
|
| Topic 5: Maintaining and automating data workloads | 18% | - Automation and repeatability
|
Google Certified Professional Data Engineer Exam FAQ: What Candidates Ask Most
What is the Google Professional-Data-Engineer exam?
The Professional-Data-Engineer exam is the official Google Cloud exam behind the Google Cloud Professional Data Engineer certification, validating the skills measured by the Google Certified Professional Data Engineer credential. It sits at the Professional level of the Google Cloud certification program. It also connects to Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional Data Analyst, so the knowledge you build here carries over to those tracks as well.
How many questions are on the Professional-Data-Engineer exam, and how much time do I get?
The Professional-Data-Engineer exam contains 40 - 50 questions to be completed within 120 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the Professional-Data-Engineer exam, and what does it cost?
The passing score for the Professional-Data-Engineer exam is 700 / 1000, and the official registration fee is USD 200 (plus tax where applicable). Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 433 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the Professional-Data-Engineer exam?
No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud data solutions Requirements can change when Google Cloud revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the Professional-Data-Engineer exam?
You can book the Google Certified Professional Data Engineer exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online-proctored or onsite-proctored. Choose the option that suits you best when you book your seat.
What official training is recommended for the Professional-Data-Engineer exam?
Google Cloud recommends the following training resources for the Google Certified Professional Data Engineer exam:
Official courses build the foundation; the 433 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the Professional-Data-Engineer practice questions before I buy?
Yes. Getcertkey provides a free Professional-Data-Engineer PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Google revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the Professional-Data-Engineer exam, and how is my order delivered?
Every Google Certified Professional Data Engineer purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the Professional-Data-Engineer exam?
The Google Certified Professional Data Engineer exam blueprint is organized into 5 domains. The first three are:
- Operationalizing machine learning models — 20% of the exam
- Ensuring solution quality and reliability — 17% of the exam
- Maintaining and automating data workloads — 18% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Google Certified Professional Data Engineer Sample Questions:
Question 1
You are designing a fault-tolerant architecture to store data in a regional BigQuery dataset. You need to ensure that your application is able to recover from a corruption event in your tables that occurred within the past seven days. You want to adopt managed services with the lowest RPO and most cost-effective solution. What should you do?
A. Migrate your data to multi-region BigQuery buckets.
B. Export the data from BigQuery into a new table that excludes the corrupted data
C. Create a BigQuery table snapshot on a daily basis.
D. Access historical data by using time travel in BigQuery.
Question 2
You have Google Cloud Dataflow streaming pipeline running with a Google Cloud Pub/Sub subscription as the source. You need to make an update to the code that will make the new Cloud Dataflow pipeline incompatible with the current version. You do not want to lose any data when making this update. What should you do?
A. Update the current pipeline and provide the transform mapping JSON object.
B. Update the current pipeline and use the drain flag.
C. Create a new pipeline that has the same Cloud Pub/Sub subscription and cancel the old pipeline.
D. Create a new pipeline that has a new Cloud Pub/Sub subscription and cancel the old pipeline.
Question 3
You architect a system to analyze seismic data. Your extract, transform, and load (ETL) process runs as a series of MapReduce jobs on an Apache Hadoop cluster. The ETL process takes days to process a data set because some steps are computationally expensive. Then you discover that a sensor calibration step has been omitted. How should you change your ETL process to carry out sensor calibration systematically in the future?
A. Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
B. Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
C. Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
D. Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
Question 4
Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?
A. Retry the query with exponential backoff, up to a cap of 15 minutes.
B. Reduce the query frequency to once every hour until the database comes back online.
C. Retry the query every second until it comes back online to minimize staleness of data.
D. Issue a command to restart the database servers.
Question 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. Cloud SQL
B. Cloud Datastore
C. Cloud Bigtable
D. BigQuery
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: B |
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