Free PDE practice test — 747+ 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 Every set is scored and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.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 747+ 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
Storing the Data
Designing Data Processing Systems
Ingesting and Processing the Data
Preparing and Using Data for Analysis
Maintaining and Automating Data Workloads
52 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 747+ 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 company wants to use BigQuery to query data stored in Parquet files in Cloud Storage without loading the data into BigQuery. Which BigQuery feature should they use?
Select an answer to reveal the explanation
A data engineer is designing a BigQuery table for a clickstream dataset with frequent queries aggregating over user sessions. Each user session has multiple events, and the engineer wants to avoid joins for performance. Which schema design pattern should they use?
Select an answer to reveal the explanation
An organization needs to restrict access to BigQuery and Cloud Storage so that data can only be accessed from within a specific VPC network and cannot be exfiltrated. Which Google Cloud feature should they use?
Select an answer to reveal the explanation
You are designing a row key for Cloud Bigtable to store user activity logs. Each log entry has a timestamp (millisecond precision) and a user ID. There will be millions of writes per second from many users. To avoid hotspotting, which row key design is BEST?
Select an answer to reveal the explanation
You need to allow a data analyst to run queries on a BigQuery dataset but prevent them from modifying the data or deleting the dataset. Which IAM role should you grant?
Select an answer to reveal the explanation
A Dataproc cluster uses preemptible worker nodes to reduce costs. The cluster runs a long-running Spark job that occasionally experiences worker failures. How should the job be configured to handle preemptible worker failures gracefully?
Select an answer to reveal the explanation
A company is using Pub/Sub to ingest clickstream events. They need to ensure that events are delivered to a subscriber at least once, but duplicates can be tolerated. They also need to filter events by type before processing. Which subscription configuration should be used?
Select an answer to reveal the explanation
A company uses Cloud Dataproc to run Spark ML training jobs. They want to persist the trained models and metadata in a Hive-compatible metastore. Which Dataproc feature should they use?
Select an answer to reveal the explanation
You are designing a Dataflow pipeline that reads from Pub/Sub and writes to BigQuery. Some incoming messages are malformed and fail to parse. How should you handle these messages to ensure the pipeline continues processing without data loss?
Select an answer to reveal the explanation
A data pipeline processes JSON files from Cloud Storage, transforms them using Apache Beam, and writes the output to BigQuery. Some records are malformed and cause the pipeline to fail. How should the engineer handle these errors to ensure the pipeline continues processing while preserving the malformed records for analysis?
Select an answer to reveal the explanation
A company wants to trigger a Cloud Run service whenever a new file is uploaded to a specific Cloud Storage bucket. Which event-driven solution should they use?
Select an answer to reveal the explanation
A data engineer needs to transfer 5 PB of historical data from an on-premises Hadoop cluster to Cloud Storage. The network bandwidth is limited to 1 Gbps, and the transfer must complete within 30 days. Which transfer method should they use?
Select an answer to reveal the explanation
A company uses Google Ads and wants to automatically load their advertising data into BigQuery daily. They also need to transform the data with SQL and schedule a recurring query. Which combination of services meets these requirements with minimal operational overhead?
Select an answer to reveal the explanation
A company wants to use AutoML Tables to build a classification model on a dataset with 100 features and 500,000 rows. They need to deploy the model for online predictions with low latency (<100 ms). Which deployment option should they choose?
Select an answer to reveal the explanation
A data scientist wants to train a custom TensorFlow model on Vertex AI using a managed Jupyter notebook. Which Vertex AI service should they use to set up a notebook environment with pre-installed deep learning frameworks?
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
Your company stores sensitive customer data in Cloud Storage. You need to inspect the data for personally identifiable information (PII) and de-identify it before sharing with a third party. Which Google Cloud service should you use?
Select an answer to reveal the explanation
You are optimizing a BigQuery query that scans 1 TB of data every day. The query joins a large fact table (partitioned by date) with a small dimension table. You notice that the query always scans the entire fact table, even though you only need the last 7 days of data. Which optimization will MOST reduce the bytes scanned?
Select an answer to reveal the explanation
A data engineer needs to alert when Pub/Sub subscription has messages older than 1 hour. Which Cloud Monitoring metric and filter should they use?
Select an answer to reveal the explanation
A manufacturing company wants to detect anomalies in sensor data from thousands of IoT devices in real time. The data is streaming into Pub/Sub. The best solution should use a machine learning model served from AI Platform that scores sensor readings aggregated over 5-minute windows. Which pipeline design meets these requirements?
Select an answer to reveal the explanation
Answer all 20 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: Storing the Data (20%), Designing Data Processing Systems (22%), Ingesting and Processing the Data (25%), 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 original — AI-assisted, checked against the official exam objectives, and published under the editorial oversight of an engineer with 12+ years' experience. They test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
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