How many questions are on the Professional Data Engineer exam?

The Professional Data Engineer exam has 50 questions, and the vendor's published description is: 40-50 multiple choice and multiple select questions; 2 hours (official page states format and length separately).

How long do you have to complete the Professional Data Engineer exam?

You get 120 minutes, which is about 144 seconds per question. The published format is: 40-50 multiple choice and multiple select questions; 2 hours (official page states format and length separately).

What score do you need to pass the Professional Data Engineer exam?

No numeric cut score is published for this certification: Not published by the provider (Google provides pass/fail results only; no numeric passing score is published).

What are the domains on the Professional Data Engineer exam?

There are 4 domains: Ensuring solution quality, Designing data processing systems, Operationalizing machine learning models, Building and operationalizing data processing systems. The official weights are Ensuring solution quality 30%, Designing data processing systems 22%, Operationalizing machine learning models 20%, Building and operationalizing data processing systems 28%.

How should I use the domain weights when revising?

Weight by percentage, not by domain. 30% is the one where lost points cost you the most, and Certilum scores you per domain so you can see exactly where that is.

Does Certilum have practice questions for the Professional Data Engineer exam?

Yes: 50 questions in our bank for this certification, each tagged to the exam domain it belongs to, with the official domain weights applied.

Exam format

Professional Data Engineer Exam Format

GCP-PDE

Everything the official exam blueprint specifies: question count, time limit, scoring and the weight each domain carries. The Professional Data Engineer exam assesses the ability to design and build data processing systems, operationalize machine learning models, and ensure solution quality on Google Cloud. The exam focuses on real-world scenarios, architectural decisions, and Google Cloud services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Vertex AI. Cross-cutting concerns include security, governance, reliability, data quality, and cost optimization.

50 questions

120 min

4 domains

certilum

Exam facts at a glance

The published specifications for this certification.

Specification	Value
Questions	50
Time limit	120 minutes (144s per question)
Passing score	Not published by the vendor — Not published by the provider (Google provides pass/fail results only; no numeric passing score is published)
Domains	4
Level	Professional
Question bank here	50 questions
Published format	40-50 multiple choice and multiple select questions; 2 hours (official page states format and length separately)
Source	Official exam specification, published by the vendor

Official domain weights

The percentage of the exam each domain carries. Weight your revision by these numbers, not by what you find hardest.

Domain	Weight	Topics	Practice Qs
Ensuring solution quality	30%	Designing reliable, available, and disaster-recoverable data solutions Implementing data quality checks, validation, and reconciliation Applying security best practices with IAM, encryption, VPC Service Controls, and data masking +5 more	15
Designing data processing systems	22%	Designing batch and streaming data pipelines Selecting storage systems based on data patterns and consistency requirements Designing data processing architectures using Dataflow, Dataproc, Pub/Sub, and BigQuery +5 more	11
Operationalizing machine learning models	20%	Framing ML problems and selecting Vertex AI, BigQuery ML, or custom options Creating and managing datasets, features, and preprocessing jobs Building and training ML models with Vertex AI training and pipelines +5 more	10
Building and operationalizing data processing systems	28%	Building batch pipelines with Dataflow, Dataproc, Spark, and BigQuery Implementing streaming pipelines with Pub/Sub, Dataflow, and Apache Beam Orchestrating workflows with Cloud Composer and Apache Airflow +5 more	14

The heaviest domain is Ensuring solution quality at 30%, and that is where lost points cost you the most. Certilum scores you per domain so you can see the difference between a knowledge gap and a formatting problem.

Note from the vendor record: Active ('Professional Data Engineer'); the official page currently shows the banner 'This exam will soon be updated to reflect recent branding changes' (a branding/content update is pending, but Google publishes no exact date), and the certification overview page notes exams are being updated for product changes announced at Google Cloud Next '26 (April 2026) including Gemini Enterprise Agent Platform and Google Cloud's data and analytics stack. Format: 2 hours, 40-50 multiple choice/multiple select questions, English/Japanese; no case-study percentage is published for this exam. Retake policy per official exam terms: maximum 4 attempts in a 2-year period with 14-, 60-, then 365-day waits after successive failures; validity is 2 years (Professional), renewal window opens 60 days before expiration, with renewal via the standard exam, a $100 1-hour/20-question renewal exam, or - announced on the official Google Cloud blog July 8, 2026 - designated Google Skills courses/skill badges adding 1 year. Recommended experience: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud; caveat: renewal-path choice (standard vs shorter renewal exam) cannot be switched after the first renewal attempt for this certification. Official exam page