What does it cost?
The Professional Machine Learning Engineer exam costs $200.
Exam fee
$200
Plus tax where applicable.
Source: Google Cloud exam page
Google Cloud exam
Professional Machine Learning Engineer Exam facts
- Questions
- 50-60
- Minutes
- 120
- Exam fee
- $200
Independent: not affiliated with Google Cloud. These exam facts are free; the study bundle adds a study guide and two practice exams.
Short answer
Google Cloud Professional Machine Learning Engineer is the exam for engineers who build, deploy and monitor ML and generative AI systems on Google Cloud. The exam has 50-60 questions in 120 minutes and costs $200.
Sources: exam page, exam guide (PDF)
Published Google Cloud facts for the Professional Machine Learning Engineer exam on one page. Last updated
Study bundle
Prepare for the exam
$19
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Your receipt has a license key. Enter it at overqual.com/download for the three PDFs, stamped with your email and order number. They are yours to keep.
Try 5 free sample questions first See 3 pages inside
- A 59-page study guide: every exam domain, weighted like the exam
- Two practice exams: 120 original questions, every answer explained
- Every bundle includes 6 months of access: download the PDFs, and any new editions, until 6 months after your purchase date.
Edition 1.0, October 2026
How many questions and how long?
The Professional Machine Learning Engineer exam has 50-60 questions in 120 minutes. Question types: Multiple choice and multiple select.
Source: Google Cloud exam page
The exam
- Questions
- 50-60
- Time
- 120 minutes
- Languages
- English, Japanese
What score do you need to pass?
Google Cloud does not publish a passing score for Professional Machine Learning Engineer.
Source: Google Cloud exam page
What does the exam cover?
The Professional Machine Learning Engineer exam covers six sections, weighted at about 13% / 16% / 21% / 20% / 18% / 13%.
Source: Google Cloud exam guide (PDF)
S113%
Architecting low-code AI solutions
S216%
Collaborating within and across teams to manage data and models
S321%
Scaling prototypes into ML models
S420%
Serving and scaling models
S518%
Automating and orchestrating ML pipelines
S613%
Monitoring AI solutions
Architecting low-code AI solutions
- 1.1Develop ML models with BigQuery ML or AutoML
- 1.2Build AI solutions with Google Cloud AI APIs or foundational models
Collaborating within and across teams to manage data and models
- 2.1Explore and preprocess data
- 2.2Prototype models in notebooks
- 2.3Track and run ML experiments
Scaling prototypes into ML models
- 3.1Build models given cost, complexity, latency and scalability
- 3.2Train models
- 3.3Choose training hardware
Serving and scaling models
- 4.1Serve models
- 4.2Scale online model serving
Automating and orchestrating ML pipelines
- 5.1Develop end-to-end ML pipelines
- 5.2Automate model retraining
Monitoring AI solutions
- 6.1Identify risks to AI solutions
- 6.2Monitor, test and troubleshoot AI solutions
Inside the study bundle
Study guide chapters
Eleven chapters. Chapters 3 to 8 cover the six exam sections, weighted like the exam.
- 01 What the exam is p. 3
- 02 The platform map: Agent Platform and the data stack p. 7
- 03 Low-code AI: BigQuery ML, AutoML, APIs and Gemini p. 12
- 04 Data, notebooks and experiments p. 19
- 05 From prototype to model: choice, training, tuning, hardware p. 25
- 06 Serving and scaling models p. 32
- 07 Pipelines, retraining and CI/CD/CT p. 39
- 08 Monitoring, security and responsible AI p. 44
- 09 Final review p. 50
- 10 Sources p. 57
- 11 Edition and updates p. 59
Look inside the study guide
Three pages of the Edition 1.0 study guide: the contents and the first two pages of a chapter.
What is free here, and what is in the bundle?
The exam facts and 5 sample questions are free on this site. The study guide chapters and the two practice exams are in the bundle.
| Item | Free on this site | In the bundle |
|---|---|---|
| Exam facts and change log | Yes, with links to the Google Cloud sources | Chapter 1 of the study guide sums up the exam's format and scoring. |
| 5 sample questions | Yes | No. None of the 5 appear in the practice exams. |
| Section chapters and final review | No | Yes, in the study guide |
| Two practice exams with answer keys | No | Yes, 120 questions with an explanation for every answer |
Questions before you buy
Is this official?
No, the Professional Machine Learning Engineer bundle is not official. Overqual is independent and is not affiliated with, sponsored by, or endorsed by Google Cloud.
Does it include real exam questions?
No, the Professional Machine Learning Engineer bundle contains no exam questions, and every practice question is original.
How is the Professional Machine Learning Engineer bundle different from Google Cloud's free materials?
Google Cloud's free pages set out what the Professional Machine Learning Engineer exam covers. The Professional Machine Learning Engineer bundle adds a 59-page study guide that covers every exam domain, and two practice exams with 120 original questions, every answer explained. When Google Cloud revises the exam, a new edition follows if the changes warrant it, included while your access lasts.
How do I get updates?
Updates to the Professional Machine Learning Engineer bundle arrive as new editions. Every bundle includes 6 months of access: download the PDFs, and any new editions, until 6 months after your purchase date. Download each new edition at overqual.com/download with the license key from your receipt email. The change log on the exam facts page says what changed.
Can I get a refund?
No. Sales of the Professional Machine Learning Engineer bundle are final, because downloaded PDFs cannot be returned. Read the free exam facts and try the 5 free sample questions first. If a download fails or you paid twice by mistake, contact Overqual to have the download fixed or the second payment refunded.
What changed in the 2026 version of the exam?
The Professional Machine Learning Engineer exam page says the exam was updated to reflect the transition from Vertex AI to Gemini Enterprise Agent Platform and updates to Google Cloud's data and analytics stack, and that it "prioritizes Google Cloud native solutions" (exam page). The current exam guide is dated Jun 1, 2026 and has six sections: architecting low-code AI solutions (about 13%), collaborating to manage data and models (about 16%), scaling prototypes into ML models (about 21%), serving and scaling models (about 20%), automating and orchestrating ML pipelines (about 18%) and monitoring AI solutions (about 13%) (exam guide (PDF)). Google announced Gemini Enterprise Agent Platform as the evolution of Vertex AI on Apr 22, 2026 (Google Cloud blog), and the exam page says to refer to the exam guide for the product names used on the exam.
Does the exam include hands-on labs or coding?
No labs are listed for the Professional Machine Learning Engineer exam: the format is 50-60 multiple choice and multiple select questions in two hours (exam page). The exam guide states that the exam "does not directly assess coding skills" and that a minimum proficiency in Python and SQL is enough to interpret questions with code snippets (exam guide (PDF)).
What is the passing score, and how long does the certification last?
Google does not publish a passing score for the Professional Machine Learning Engineer exam: results are pass or fail, shown provisionally on screen, and Google says to allow 7-10 days for confirmation (certification FAQ). A Professional certification is valid for two years from the date of issue (certification terms), and the renewal exam window opens 60 days before the inactive date (renewal FAQ).
Ready for the exam?
Three PDFs, 107 pages: the study guide and two practice exams.
Which Google Cloud services does the exam guide name?
The Professional Machine Learning Engineer exam guide has no in-scope list. These are the products its task statements name as examples (each list in the guide is introduced with "e.g."), under the names Google has used since April 2026.
Source: Google Cloud exam guide (PDF)
Gemini Enterprise Agent Platform (formerly Vertex AI)
- Agent Platform AutoML
- Model Garden
- Agent Platform Feature Store
- Agent Platform Workbench and Colab Enterprise
- Experiments on Agent Platform and ML Metadata
- Agent Platform Pipelines
- Agent Platform custom training and Tabular Workflows
- Agent Platform Model Registry
- Agent Platform Inference (batch and online endpoints)
- Model Monitoring on Agent Platform
- Ray on Agent Platform
Models and AI APIs
- Gemini, Imagen and Veo
- Models as a service in Model Garden
- Document AI API, Vision API and Translate API
- Gemini fine-tuning in BigQuery
Data, compute and orchestration
- BigQuery and BigQuery ML
- Dataflow and Apache Spark
- Cloud Storage
- Google Kubernetes Engine (GKE) and Kubeflow Pipelines
- Cloud Run
- Cloud Build
- Managed Service for Apache Airflow
Security and explainability
- Model Armor
- Safety filters
- Model explainability on Agent Platform
How is it delivered?
The Professional Machine Learning Engineer exam is online with a remote proctor or at a Pearson VUE test center.
- Delivery
- Online with a remote proctor or at a Pearson VUE test center
- Languages
- English, Japanese
- Prerequisites
- None
- Validity
- 2 years
- Retakes
- 4 attempts in a 2-year period; wait 14 days after a first failed attempt, 60 days after a second and 365 days after a third; payment each time
- Test aids
- Not allowed
Source: Google Cloud exam page
What are the key dates?
Google Cloud has published no dates for Professional Machine Learning Engineer yet.
Source: Google Cloud exam page
Fact sheet
Show the 20 factsHide the facts
- Questions
- 50-60 Source: Google Cloud exam page
- Time
- 120 minutes Source: Google Cloud exam page
- Fee
- $200 Source: Google Cloud exam page
- Question types
- Multiple choice and multiple select Source: Google Cloud exam page
- Languages
- English, Japanese Source: Google Cloud exam page
- Delivery
- Online with a remote proctor or at a Pearson VUE test center Source: Google Cloud exam page
- Validity
- 2 years Source: Google Cloud page
- Prerequisites
- None Source: Google Cloud exam page
- Retakes
- 4 attempts in a 2-year period; wait 14 days after a first failed attempt, 60 days after a second and 365 days after a third; payment each time Source: Google Cloud page
- Test aids
- Not allowed Source: Google Cloud page
- Section weights
- S1 13% / S2 16% / S3 21% / S4 20% / S5 18% / S6 13% Source: Google Cloud exam guide (PDF)
- Recommended experience
- 3+ years of industry experience including 1 or more years designing and managing solutions using Google Cloud. Source: Google Cloud exam page
- Exam guide version
- Exam guide as of Jun 1, 2026 Source: Google Cloud exam guide (PDF)
- Exam sections
- 6 sections: Architecting low-code AI solutions (about 13%), Collaborating within and across teams to manage data and models (about 16%), Scaling prototypes into ML models (about 21%), Serving and scaling models (about 20%), Automating and orchestrating ML pipelines (about 18%), Monitoring AI solutions (about 13%) Source: Google Cloud exam guide (PDF)
- Coding
- The exam does not directly assess coding skills. If you have a minimum proficiency in Python and SQL, you should be able to interpret any questions with code snippets. Source: Google Cloud exam guide (PDF)
- Results
- Pass or fail only. A provisional result appears on screen after the exam; allow 7-10 days for Google Cloud to confirm it. Source: Google Cloud page
- Renewal
- A renewal exam window opens 60 days before the certification's inactive date; passing adds 2 years. Renewal is possible up to 30 days after the inactive date. Source: Google Cloud page
- Delivery provider
- Pearson VUE (test centers and OnVUE online proctoring) since Mar 2, 2026; Kryterion delivered exams until Feb 22, 2026 Source: Google Cloud page
- Registration
- Through Google's candidate portal (the exam page's Register link), choosing a remote exam or a test center Source: Google Cloud exam page
- Official preparation
- A learning path, a sample questions form, a Cloud OnAir cert prep webinar and partner training, all linked from the exam page Source: Google Cloud exam page
What has changed, and when?
Changes to the exam and to the products it covers, newest first.
- Google published a new exam guide: six sections at approximate weights, with Vertex AI now named Gemini Enterprise Agent Platform. Google Cloud exam guide (PDF)
- Google announced Gemini Enterprise Agent Platform, the evolution of Vertex AI, and new names such as Agent Platform Pipelines. Google Cloud page
- Exam delivery moved from Kryterion to Pearson VUE: last Kryterion test day Feb 22, first Pearson test date Mar 2. Google Cloud page
- Google updated its exam terms: Professional certifications are valid for 2 years, with up to 4 attempts in 2 years. Google Cloud page
To watch Google Cloud directly, check the exam page.