PDF Version DemoWalking into the GCP-DE exam unprepared for its pace is a risk you do not need to take. The Getcertkey test engines recreate the pressure of the Google Data Engineer testing environment, so when exam day arrives in 2026, it feels like just another practice session.
Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Certification Exam |
| Exam Number: | PDE |
| Exam Format: | Multiple select, Proctored online or onsite (Kryterion Webassessor), Multiple choice |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | Approximately 50–60 |
| Available Languages: | Japanese, English |
| Related Certifications: | Google Cloud Professional Machine Learning Engineer Google Cloud Associate Cloud Engineer |
| Exam Price: | $200 USD |
| Passing Score: | Not publicly disclosed |
| Exam Duration: | 120 minutes |
| 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: |  |
| 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: Designing data processing systems | 20% | - Data pipeline architecture design
|
| Topic 2: Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
| Topic 3: Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
| Topic 4: Maintaining and optimizing data and ML solutions | 20% | - Machine learning integration
|
GCP-DE Exam FAQs for 2026 Candidates
Which certification does the GCP-DE exam lead to?
The GCP-DE exam is the official Google Cloud exam behind the Professional Data Engineer certification, validating the skills measured by the Google 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 Machine Learning Engineer, so the knowledge you build here carries over to those tracks as well.
How many questions are on the GCP-DE exam, and how much time do I get?
The GCP-DE exam contains Approximately 50–60 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 GCP-DE exam, and what does it cost?
The passing score for the GCP-DE exam is Not publicly disclosed, and the official registration fee is $200 USD. 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 77 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 GCP-DE exam?
No mandatory prerequisites, but Associate Cloud Engineer or equivalent experience recommended 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 GCP-DE exam?
You can book the Google Data Engineer exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored or test center (Kryterion Webassessor). Choose the option that suits you best when you book your seat.
What official training is recommended for the GCP-DE exam?
Google Cloud recommends the following training resources for the Google Data Engineer exam:
- Google Cloud Skills Boost - Data Engineering Path
- Coursera - Google Cloud Data Engineering Professional Certificate
Official courses build the foundation; the 77 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the GCP-DE practice questions before I buy?
Yes. Getcertkey provides a free GCP-DE 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 GCP-DE exam, and how is my order delivered?
Every Google 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 GCP-DE exam?
The Google Data Engineer exam blueprint is organized into 4 domains. The first three are:
- Designing data processing systems — 20% of the exam
- Operationalizing data and ML pipelines — 30% of the exam
- Maintaining and optimizing data and ML solutions — 20% 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 Data Engineer Sample Questions:
Question 1
You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?
A. Add a new column called FullName to the Users tabl
B. Use BigQuery to export the data for the table to a CSV fil
C. Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullNam G. Run a BigQuery load job to load the new CSV file into BigQuery.
D. Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
E. Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery.
F. Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.
Question 2
MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?
A. Cloud Datastore and Cloud Bigtable
B. BigQuery and Cloud Storage
C. Cloud Bigtable and Cloud SQL
D. BigQuery and Cloud Bigtable
Question 3
Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?
A. Increase your network bandwidth from your datacenter to GCP.
B. Increase your network bandwidth from Compute Engine to Cloud Storage.
C. Increase the CPU size on your server.
D. Increase the size of the Google Persistent Disk on your server.
Question 4
You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)
A. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
B. Change the zone of your Cloud Dataflow pipeline to run in us-central1
C. Use a larger instance type for your Cloud Dataflow workers
D. Increase the number of max workers
E. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
F. Create a temporary table in Cloud Spanner that will act as a buffer for new data
G. Create a temporary table in Cloud Bigtable that will act as a buffer for new data
Question 5
You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?
A. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
B. Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
C. Store the data in a file in a regional Google Cloud Storage bucke
D. Load the data every 30 minutes into a new partitioned table in BigQuery.
E. Store the data in Google Cloud Datastor
F. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
Solutions:
| Question 1 Answer: F | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: C,E | Question 5 Answer: D |
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