Free Demo
Returned customers are the loudest testimony. Buyers come back to ValidExam because we keep them informed of the latest Google Data Engineer products — 77 practice questions for the GCP-DE exam, updated free for 365 days.
Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Certification Exam |
| Exam Number: | PDE |
| Passing Score: | Not publicly disclosed |
| Available Languages: | Japanese, English |
| Related Certifications: | Google Cloud Associate Cloud Engineer Google Cloud Professional Machine Learning Engineer |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | Approximately 50–60 |
| Exam Price: | $200 USD |
| Exam Format: | Multiple choice, Multiple select, Proctored online or onsite (Kryterion Webassessor) |
| Certificate Validity Period: | 2 years |
| 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: Maintaining and optimizing data and ML solutions | 20% | - Machine learning integration
|
| Topic 2: Designing data processing systems | 20% | - Storage and data modeling
|
| Topic 3: Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
| Topic 4: Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
GCP-DE Exam FAQ — Effective Preparation
Yes:
- Google Cloud Skills Boost - Data Engineering Path
- Coursera - Google Cloud Data Engineering Professional Certificate
Courses build the foundation; then practice smartly with the 77 practice questions for the Google Data Engineer — every answer expert-verified.
The Google Data Engineer is Google's certification exam for Professional Data Engineer, at the Professional level. It validates skills employers hire for, which is why it can affect your career and future. Related credentials include Google Cloud Associate Cloud Engineer, Google Cloud Professional Machine Learning Engineer.
Files arrive by automatic email within a minute of payment — unlimited installations, and 24/7 customer assisting for any login or downloading issues if nothing shows up within 2 hours. If you fail the corresponding GCP-DE exam within 60 days of purchase, you have options: a full refund (send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; processed within 7 days), waiting for the next updated version free, or changing to two other equal-value dumps free. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products.
No mandatory prerequisites, but Associate Cloud Engineer or equivalent experience recommended Vendors revise eligibility rules from time to time, so verify the current requirements on the official page (official GCP-DE exam page) before booking.
The Google Data Engineer blueprint covers 4 domains — including Designing data processing systems (20%), Building and operationalizing data processing systems (30%), Operationalizing data and ML pipelines (30%). The weightings tell you where to spend your hours; the complete outline above lists every subtopic.
Through the vendor's official registration channels:
The Google Data Engineer is delivered Online proctored or test center (Kryterion Webassessor) — choose the arrangement that fits you when booking.
$200 USD per attempt, Not publicly disclosed to pass. A retake bills the full fee again, so prepare smartly: work through the 77 practice questions for the GCP-DE exam at ValidExam before you book.
120 minutes for Approximately 50–60 questions. Efficient preparation includes pacing: rehearse timed sets until the clock feels manageable, not menacing.
Yes — download the free Google Data Engineer demo and judge the quality before paying. Purchases include 365 days of free updates, with each latest version emailed to you immediately; renew afterward at 50% off.
Google Data Engineer Sample Questions:
An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?
- A. Cloud SQL
- B. Cloud Datastore
- C. BigQuery
- D. Cloud BigTable
Correct Answer: D 🗳️
Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?
- A. Change "person" to "city.person".
- B. Add ", UNNEST(person)" before the WHERE clause.
- C. Add ", UNNEST(city)" before the WHERE clause.
- D. Change "person" to "person.city".
Correct Answer: B 🗳️
Explanation: Only visible for ValidExam members. You can sign-up / login (it's free).
Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?
- A. Export the data into a Google Sheet for virtualization.
- B. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
- C. Create a view on the table to present to the virtualization tool.
- D. Create an additional table with only the necessary columns.
Correct Answer: C 🗳️
You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?
- A. Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
- B. Use the TABLE_DATE_RANGE function
- C. Use the WHERE_PARTITIONTIME pseudo column
- D. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
Correct Answer: B 🗳️
Explanation: Only visible for ValidExam members. You can sign-up / login (it's free).
Which of the following is NOT one of the three main types of triggers that Dataflow supports?
- A. Trigger based on element count
- B. Trigger based on time
- C. Trigger based on element size in bytes
- D. Trigger that is a combination of other triggers
Correct Answer: C 🗳️
Explanation: Only visible for ValidExam members. You can sign-up / login (it's free).
