Free PDE practice test — 890+ PDE practice questions with detailed explanations across all 5 official PDE exam domains. Every set is scored and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.
Courseiva includes 890+ Google Professional Data Engineer practice questions across the official exam domains.
Feature
Courseiva
This free PDE practice test mirrors the structure and difficulty of the real Google Professional Data Engineer exam. Every question is written against the official 2026 exam blueprint published by Google Cloud, ensuring you practise exactly what the exam tests — not last year's objectives.
The PDE blueprint is divided into 5weighted domains. Questions on this page are distributed proportionally across each domain, so the mix you see here reflects the same weighting you'll face on exam day. High-weight domains like Ingesting and Processing the Data and Designing Data Processing Systems contribute the most questions, meaning focused practice on these areas gives you the highest return on study time.
PDE Exam Blueprint — 5 Domains
Designing Data Processing Systems
Ingesting and Processing the Data
Storing the Data
Preparing and Using Data for Analysis
Maintaining and Automating Data Workloads
59 numbered sets, 5 domain question banks, and targeted sessions — every page is a unique set of questions.
Choose all correct answers
Each chapter page covers one topic in depth — theory, key concepts, and focused practice questions. Use these to close knowledge gaps before returning to full practice tests.
Getting the most from practice questions requires more than just clicking through answers. Here is the study method used by candidates who pass PDE on their first attempt:
Answer before revealing
Read each PDE question fully, eliminate obviously wrong choices, then commit to an answer before clicking to reveal. This active recall process is what builds lasting knowledge.
Read every explanation
Even when you answer correctly, read the full explanation. Knowing WHY the right answer is correct — and why the distractors are wrong — is what separates a 750 score from a 900 score.
Track weak domains
Note which PDE domains you get wrong most often. Then do a targeted 20-30 question session focused only on that domain until your accuracy improves.
Simulate exam pacing
The real PDE gives you roughly 2 minutes per question. Use the 60 or 120-question sessions to practise hitting that pace comfortably.
Most candidates who pass PDE on their first attempt report doing between 400 and 800 practice questions over 4–8 weeks of preparation. With 890+ questions in the Courseiva bank, you have more than enough material to build that repetition without seeing the same question twice.
Answer each question to reveal the full explanation and correct answer. This starter set is drawn from all 5 exam domains in blueprint proportion. Use the session selector to start a longer focused practice run.
A data engineer needs to design a stream processing pipeline that reads events from Pub/Sub, enriches them with data from a Cloud Storage file, and writes aggregated results to BigQuery. The pipeline must handle late-arriving events up to 1 hour. Which Dataflow feature should be used to manage late data?
Select an answer to reveal the explanation
A company uses Dataproc to run daily Spark ML jobs. The jobs run for 2 hours each day. The team wants to reduce costs without changing job characteristics. Which strategy is MOST cost-effective?
Select an answer to reveal the explanation
A financial services company stream trades into Pub/Sub and processes with Dataflow. The pipeline must ensure exactly-once processing of each trade for regulatory compliance. However, Pub/Sub guarantees at-least-once delivery. Which combination of features should the Dataflow pipeline use to achieve exactly-once semantics?
Select an answer to reveal the explanation
A data engineer needs to create a BigQuery table that is partitioned by ingestion time and clustered by customer_id and transaction_date. They also want to limit access so that only users from a specific domain can query the table. Which approach should they use?
Select an answer to reveal the explanation
A data engineer needs to load 10 TB of CSV files from Amazon S3 into Google BigQuery on a daily basis. Which service should they use to automate this transfer?
Select an answer to reveal the explanation
You need to stream real-time user click events from your application into BigQuery for immediate analysis. The events must be available for query within seconds. Which approach is recommended?
Select an answer to reveal the explanation
A data engineer needs to transfer 500 TB of on-premises data to Google Cloud Storage. The data is stored on NAS devices and the network bandwidth is limited to 100 Mbps. What is the most cost-effective and timely transfer method?
Select an answer to reveal the explanation
You are building a Dataflow pipeline in Python that reads messages from Pub/Sub, enriches them with data from a BigQuery table, and writes the results to BigQuery. The enrichment lookup table is large and changes infrequently. Which approach minimizes cost and latency?
Select an answer to reveal the explanation
You are designing a Dataflow pipeline to process streaming data. The pipeline may encounter malformed records. You need to handle these errors without failing the entire pipeline and store the bad records for later analysis. What is the best practice?
Select an answer to reveal the explanation
A company needs a fully managed, globally distributed relational database with strong consistency, external consistency, and 99.999% SLA for a financial transaction processing system. Which Google Cloud service should they use?
Select an answer to reveal the explanation
A data engineer needs to store raw sensor data in Cloud Storage and automatically transition it to a lower-cost storage class after 30 days, then delete it after 365 days. What should they configure?
Select an answer to reveal the explanation
A data engineer is building a data lake on Google Cloud and needs to separate raw ingested data, curated/cleaned data, and processed/aggregated data. Which Cloud Storage bucket structure is recommended?
Select an answer to reveal the explanation
A mobile app needs an offline-first NoSQL database that syncs data across devices when connectivity is available. Which Google Cloud database meets these requirements?
Select an answer to reveal the explanation
A data engineer wants to train a linear regression model in BigQuery ML to predict sales. The training data includes a categorical feature with 1000+ unique values. Which method is most appropriate to handle this feature in the CREATE MODEL statement?
Select an answer to reveal the explanation
You need to create a Looker model that defines a 'sales' view based on a BigQuery table, with a measure for total revenue. Which LookML object defines the table and dimensions?
Select an answer to reveal the explanation
A company uses Looker Studio to build dashboards from BigQuery data. They notice that queries take several seconds to return. They want to improve performance without changing the schema or adding materialized views. Which option should they use?
Select an answer to reveal the explanation
A data engineer uses Cloud Composer to orchestrate a daily batch pipeline. A downstream task should only start after an upstream BigQuery load job finishes successfully and a specific file appears in Cloud Storage. Which combination of operators should the engineer use in the Airflow DAG?
Select an answer to reveal the explanation
A company uses Dataflow streaming pipelines to process real-time events. They notice increasing system lag over time. Which two Cloud Monitoring metrics should be examined to diagnose the cause?
Select an answer to reveal the explanation
A data team needs to share a BigQuery dataset with another business unit. They want to provide a point-in-time snapshot of the data without incurring additional storage costs for the copy. Which BigQuery feature should they use?
Select an answer to reveal the explanation
Answer all 19 questions to see your domain score breakdown
A structured study plan dramatically increases your chances of passing PDE on the first attempt. The most effective approach combines reading the official Google Cloud documentation or a study guide, watching video explanations for difficult concepts, and then reinforcing everything with daily practice questions.
We recommend the following weekly structure for PDE preparation:
Cover each PDE domain systematically. Read the exam objectives, watch explanatory content, and do 10–20 practice questions per domain to test understanding as you go.
Run full 50–60 question mixed sessions daily. Review every wrong answer in detail. Identify which domains are consistently scoring below 70% and revisit those study materials.
Do 100–120 question timed sessions to simulate real exam conditions. Aim for consistent scores above 80% before booking your exam date. A score above 80% in practice typically translates to a passing PDE score.
On exam day, the PDE tests your ability to apply knowledge to realistic scenarios — not just recall definitions. This is why reading explanations and understanding the reasoning behind every answer matters more than simply grinding question volume. Use the high-count sessions (100, 120) in the final weeks as your confidence benchmark.
Questions
60
On the real exam
Time limit
120 min
2 min per question
Passing score
720/1000
Scaled scoring
The PDE exam uses a scaled scoring system — your raw score of correct answers is converted to a score out of 1000. A passing score of 720/1000 does not mean you need 72% of questions correct; the conversion accounts for question difficulty. Consistently scoring above 75–80% on practice tests puts you in a strong position to achieve 720/1000 on the real exam.
Scenario-based questions covering exam objectives with detailed answer explanations.
Yes. Courseiva provides free Google Professional Data Engineer practice questions with explanations across the official exam domains. Start with a quick practice test, then continue with topic-based practice, mock exams, missed-question review, bookmarked questions, weak-topic recommendations, and readiness tracking. No account required. Create a free account to unlock per-domain analytics and progress tracking across every certification on the platform. Courseiva is free forever, supported by advertising.
Every question is written against the official PDE exam blueprint published by Google Cloud. Our questions follow the same wording style, scenario complexity, and answer structure as the actual exam. They are original questions — not brain dumps — so you learn the underlying concepts and reasoning, not just memorised answers. Candidates who study with brain dumps often pass but have no transferable knowledge; Courseiva questions make you genuinely competent.
Most candidates who pass PDE on their first attempt do 30–60 questions per day. Use the Quick 10 session for daily warm-ups when you are short on time. On study days, run a 50 or 60-question session to build stamina. Reserve 100 and 120-question sessions for the final two weeks when you want to simulate real exam conditions and benchmark your readiness.
The PDE covers 5 domains: Designing Data Processing Systems (22%), Ingesting and Processing the Data (25%), Storing the Data (20%), Preparing and Using Data for Analysis (15%), Maintaining and Automating Data Workloads (18%). Each domain carries a different weight, so allocate your study time accordingly. The highest-weighted domains — Ingesting and Processing the Data and Designing Data Processing Systems — should receive the most attention.
Exam dumps are memorised question-and-answer lists taken from actual exam papers, often obtained illegally and shared without Google Cloud's authorisation. Using them violates your NDA and Google Cloud's certification agreement, and can result in certification revocation. Courseiva questions are 100% original — written by certified engineers to test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
Per-domain analytics, spaced repetition, daily challenges — and every other certification on the platform.
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