Exam Name: Google Certified Professional Data Engineer Exam
Certification Provider: Google
Corresponding Certification: Google Cloud Certified
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Updated: Sep 20, 2026
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Google Professional-Data-Engineer Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Exam |
| Exam Number: | Professional-Data-Engineer |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40 - 50 |
| Related Certifications: | Google Cloud Professional Data Analyst Google Cloud Associate Cloud Engineer Google Cloud Professional Cloud Architect |
| Exam Duration: | 120 minutes |
| Available Languages: | Japanese, English |
| Exam Price: | USD 200 (plus tax where applicable) |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple select, Multiple choice |
| Recommended Training: | Google Cloud Professional Data Engineer Learning Path Official Exam Guide |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| 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: Designing data processing systems | 20% | - Designing for business requirements
|
| Topic 2: Operationalizing machine learning models | 20% | - Preparing data for ML
|
| Topic 3: Maintaining and automating data workloads | 18% | - Automation and repeatability
|
| Topic 4: Building and operationalizing data processing systems | 25% | - Deploying and managing systems
|
| Topic 5: Ensuring solution quality and reliability | 17% | - Troubleshooting and optimization
|
Answers to the Most Common Questions About Google Certified Professional Data Engineer
The Professional-Data-Engineer exam is the official Google exam for Google Certified Professional Data Engineer. Passing it earns you the Google Cloud Professional Data Engineer credential, which sits at the Professional level. It is also connected to Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional Data Analyst, so what you learn carries over if you plan to pursue those paths as well. Employers treat the certification as verified proof of skill, which is why structured preparation with 2Pass4sure's practice questions pays off.
The Professional-Data-Engineer exam contains 40 - 50 questions, and the time limit is 120 minutes. Translate that into a pacing plan before exam day: know roughly how long you can afford per item, flag anything that stalls you, and circle back at the end instead of burning minutes. Two or three full timed sessions in 2Pass4sure's test engine will teach you that rhythm far better than untimed reading ever will.
The passing score for the Professional-Data-Engineer exam is 700 / 1000, and the official registration fee is USD 200 (plus tax where applicable). Remember that a failed attempt means paying that fee again in full for a retake, so treat self-assessment as part of the budget: run 2Pass4sure's practice questions under timed conditions and only book your seat once your scores sit comfortably above the passing bar.
No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud data solutions Eligibility details can change, so before you register, confirm the current requirements on the official exam page: https://cloud.google.com/learn/certification/data-engineer.
You can book the Professional-Data-Engineer exam through the official registration channels below:
Exam delivery method: Online-proctored or onsite-proctored.
Google points candidates to the following official training options:
Once the coursework has built your foundation, the fastest way to turn theory into exam readiness is drilling with 2Pass4sure's 433 practice questions for the Google Certified Professional Data Engineer exam.
Yes. 2Pass4sure offers a free PDF demo of the Google Certified Professional Data Engineer practice questions on the samples page, so you can judge the format and quality yourself before paying anything. Every purchase also includes 365 days of free updates, and after the product expires you can extend the update service at a 50% discount from within your member zone.
If you take the corresponding exam within 60 days of purchase and do not pass, 2Pass4sure backs you with a 100% money-back guarantee. To claim it, submit a scanned copy of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam, and the refund is processed within 7 days. The guarantee does not apply to attempts made within the first 3 days after purchase, to products downloaded without actually sitting the exam, or to free materials and expired orders, and the candidate name must match the payer's name. If you would rather have study material than money, you can instead exchange for two additional exam products of equal value, free of charge, while keeping the update service on your original purchase. Delivery itself is instant: your download is available right after payment and a copy reaches your mailbox within one minute — if nothing arrives within 2 hours, contact customer service. You may install the product on as many computers as you need.
The official Google Certified Professional Data Engineer blueprint is organized into 5 domains. The leading areas are:
- Maintaining and automating data workloads — 18% of the exam
- Designing data processing systems — 20% of the exam
- Building and operationalizing data processing systems — 25% of the exam
For the complete domain-by-domain breakdown with every subtopic, see the Exam Topics outline above.
Google Certified Professional Data Engineer Sample Questions:
You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the data. Which two actions should you take? (Choose two.)
- A. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
- B. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
- C. Increase the number of nodes in the Cloud Bigtable cluster
- D. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
- E. Configure your Cloud Dataflow pipeline to use local execution
Correct Answer: B,C 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
You have a data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of you Cloud Bigtable cluster. Which two actions can you take to accomplish this? (Choose two.)
- A. Monitor storage utilization. Increase the size of the Cloud Bigtable cluster when utilization increases above 70% of max capacity.
- B. Review Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Read pressure index is above 100.
- C. Monitor the latency of write operations. Increase the size of the Cloud Bigtable cluster when there is a sustained increase in write latency.
- D. Monitor latency of read operations. Increase the size of the Cloud Bigtable cluster of read operations take longer than 100 ms.
- E. Review Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Write pressure index is above 100.
Correct Answer: A,C 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
Your team is working on a binary classification problem. You have trained a support vector machine (SVM) classifier with default parameters, and received an area under the Curve (AUC) of 0.87 on the validation set. You want to increase the AUC of the model. What should you do?
- A. Scale predictions you get out of the model (tune a scaling factor as a hyperparameter) in order to get the highest AUC
- B. Perform hyperparameter tuning
- C. Train a classifier with deep neural networks, because neural networks would always beat SVMs
- D. Deploy the model and measure the real-world AUC; it's always higher because of generalization
Correct Answer: B 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
A TensorFlow machine learning model on Compute Engine virtual machines (n2-standard -32) takes two days to complete framing. The model has custom TensorFlow operations that must run partially on a CPU. You want to reduce the training time in a cost-effective manner. What should you do?
- A. Train the model using a VM with a GPU hardware accelerator
- B. Train the model using a VM with a TPU hardware accelerator
- C. Change the VM type to e2 standard-32
- D. Change the VM type to n2-highmem-32
Correct Answer: A 🗳️
You need to choose a database to store time series CPU and memory usage for millions of computers. You need to store this data in one-second interval samples. Analysts will be performing real-time, ad hoc analytics against the database. You want to avoid being charged for every query executed and ensure that the schema design will allow for future growth of the dataset. Which database and data model should you choose?
- A. Create a wide table in BigQuery, create a column for the sample value at each second, and update the row with the interval for each second
- B. Create a wide table in Cloud Bigtable with a row key that combines the computer identifier with the sample time at each minute, and combine the values for each second as column data.
- C. Create a table in BigQuery, and append the new samples for CPU and memory to the table
- D. Create a narrow table in Cloud Bigtable with a row key that combines the Computer Engine computer identifier with the sample time at each second
Correct Answer: D 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
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