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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Certification Exam |
| Exam Number: | PDE |
| Related Certifications: | Google Cloud Professional Machine Learning Engineer Google Cloud Associate Cloud Engineer |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 USD |
| Passing Score: | Not publicly disclosed |
| Certificate Validity Period: | 2 years |
| Available Languages: | Japanese, English |
| Real Exam Qty: | Approximately 50–60 |
| Exam Format: | Multiple choice, Proctored online or onsite (Kryterion Webassessor), Multiple select |
| Recommended Training: | Coursera - Google Cloud Data Engineering Professional Certificate Google Cloud Skills Boost - Data Engineering Path |
| Exam Registration: | Kryterion Webassessor Portal Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing data processing systems | 20% | - Storage and data modeling
|
| Topic 2: Operationalizing data and ML pipelines | 30% | - Monitoring and troubleshooting
|
| Topic 3: Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
| Topic 4: Maintaining and optimizing data and ML solutions | 20% | - Machine learning integration
|
The GCP-DE exam is Google's gatekeeper for the Professional Data Engineer certification, a credential at the Professional level. Passing it says you can apply the Google Data Engineer objectives to real problems — a claim employers can act on. It also sits within a broader certification family covering Google Cloud Associate Cloud Engineer, Google Cloud Professional Machine Learning Engineer, so the work you put in here compounds. Easier said than earned — which is exactly why structured practice beats self-directed wandering.
The Google Data Engineer blueprint spans 4 domains, led by Designing data processing systems (20%), Building and operationalizing data processing systems (30%), and Operationalizing data and ML pipelines (30%). Read the weightings as marching orders: the domain with the largest share of the score gets the largest share of your week. The full topic list is in the exam topics section above — study to it, not around it.
The Google Data Engineer exam packs Approximately 50–60 questions into 120 minutes. Convert that into a personal tempo before test day: minutes divided by questions is your per-item budget, and anything burning double its budget gets flagged and revisited at the end. Rehearse the tempo against a live timer — every iPassleader engine session enforces one — until finishing with review time to spare feels normal.
Google Data Engineer requires Not publicly disclosed to pass, and each attempt costs $200 USD — including retakes, at full price. The financially sane strategy is arriving over-prepared: drill with iPassleader practice questions until your timed scores clear the mark across several consecutive sessions, then register. Over-preparation is cheaper than re-registration.
Google lists the Google Data Engineer question formats as: Multiple choice, Multiple select, Proctored online or onsite (Kryterion Webassessor). Formats shape tactics — locate the actual question sentence inside long scenario stems before reading the rest, and re-verify every selection on multi-answer items. iPassleader's 77 practice questions drill these formats until only the content feels new on exam day.
The GCP-DE exam is offered in English, Japanese. Choose the language where your comprehension stays fastest under the clock — slow reading is a hidden tax on every question. If you test in English, daily sessions with iPassleader's English GCP-DE practice questions double as vocabulary training.
The certification earned through the Google Data Engineer exam stays valid for 2 years. Mark the expiry date the day you pass and look into the recertification path early — a planned renewal is an errand, an expired credential is a project. Google sets these rules, so confirm the current ones on the official certification page as your window approaches.
All three versions carry the same 77 expert-written questions — you're choosing a study environment, not a content tier:
Most candidates end up mixing formats — PDF for reading, an engine for timed rehearsal.
Yes. iPassleader's free Google Data Engineer PDF demo contains genuine sample questions with verified answers, so you can judge the quality yourself. Every purchase includes 365 days of free updates, and renewing after expiry costs 50% of the regular price from your member zone. Inspect first — confident material has nothing to hide.
Continuously — the digitized world changes daily, and the bank keeps pace. As Google adjusts the Google Data Engineer exam, our experts renovate the material to match, and updates are free for 365 days in your member zone. Track them via the New Releases section or the iPassleader newsletter, and re-verify your version 3-4 days before your exam. Expired products repurchase at 50% off to restart the service.
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Delivery first: your Google Data Engineer practice questions are downloadable immediately and emailed within one minute of payment — if 2 hours pass, check spam and contact support. Install on unlimited computers. If the exam goes wrong, the 100% Money Back Guarantee applies under clear conditions: take the corresponding exam within 60 days of purchase, and if you don't pass, submit a scanned enrollment slip and your official Score Report PDF within 2 days after the exam — full refunds process within 7 days. Not eligible: attempts within 3 days of purchase, exams never actually taken, free items, and expired orders; candidate name must match payer name. Prefer to keep preparing? Exchange for two free products of equal value and keep your update service.
You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30-90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?
Correct Answer: A 🗳️
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?
Correct Answer: B 🗳️
Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?
Correct Answer: A 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
Which Google Cloud Platform service is an alternative to Hadoop with Hive?
Correct Answer: B 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?
Correct Answer: D 🗳️
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