PMLEProfessional Machine Learning Engineer practice exams
Original questions written from the published objectives and cited to official documentation, never recalled exam content. How we verify, why not dumps.
- Exam code
- PMLE
- Cost
- $200USD
- Questions
- 50-60
- Duration
- 120minutes
- Passing score
- Not published by Google Cloud
- Level
- Advanced
- Study guide
- How to prepare
- Sources
- 20official pages
- Format
- Multiple choice and multiple select
ML Engineer practice exams
2 full-length forms, 50 questions each, apportioned to the published domain weightings.
A team uploads a model with a custom container and omits the command, args and route flags entirely. Does that upload succeed?
The answer
Yes, only the image URI flag is required
Checked against
cloud.google.com, checked August 2026The --container-image-uri flag is required; all other flags that begin with --container- are optional.
What the exam tests
Exam domains and official weightings
The percentage is the exam weighting; the bar is how many verified questions we hold there, so a short bar is where our bank is thin.
- Architecting low-code AI solutions13%16 verified
- Collaborating within and across teams to manage data and models16%19 verified
- Scaling prototypes into ML models21%25 verified
- Serving and scaling models20%24 verified
- Automating and orchestrating ML pipelines18%22 verified
- Monitoring AI solutions13%14 verified
Where to focus: The operational half is where people underprepare. Serving, pipelines and monitoring together are 51 percent of the exam, against 34 percent for building and scaling models. Google's own section weights sum to 101 rather than 100, so treat every figure as approximate.
Every ML Engineer objective, with practice questions mapped to each one
What the exam actually asks you to do
Multiple choice and multiple select, in Google's own words. No labs, no console access, and nothing to configure during the exam.
Item formats
- Multiple choice
- Multiple response
Nothing here needs a lab. Reading carefully and eliminating options is the whole skill. Google Cloud, Professional Machine Learning Engineer exam details ↗
Between sittings
The same bank the numbered forms are assembled from.
Quick Practice
Open now
All 120 verified questions, untimed, with the explanation after each answer.
Domain Drill
Open now
Every domain on its own, for the area a score report says is weakest.
Review Missed
Fills as you go
Re-asks the questions you got wrong. Nothing to review until you miss something.
Google Cloud’s free resources
Study from the source. The page below is free to read, and it is what our own questions are written from.
Official ML Engineer exam page & objectives ↗Keep reading
- Free ML Engineer practice test
10 original questions, playable now. No account, no card.
- ML Engineer exam objectives
The full official blueprint, with practice pages on covered objectives.
- ML Engineer exam format
How many questions, how long, what the items look like, and how long it stays valid.
- ML Engineer passing score
The exact cut score, what kind of number it is, and the retake terms.
- How hard is ML Engineer?
An honest difficulty read from the format, the clock and the weights.
- What ML Engineer costs
The voucher price, the retake, and what renewal costs across the cycle.
- ML Engineer guide
Who it is for, study plans by experience level, and whether it is worth it.
Frequently asked questions
How much of this is Vertex AI?
Most of it, under a new name. Google renamed Vertex AI to Gemini Enterprise Agent Platform during 2026, and the guide now uses that name throughout. The mechanisms are unchanged, so older study material describes the same exam.
Do I need to be able to write code?
Yes. The guide states the ML Engineer has strong programming skills and experience with distributed data processing tools. Scaling prototypes into ML models is the largest section at 21 percent and assumes you can read training code, not just describe it.
Is this an ML theory exam?
No. Roughly half the exam is operational: serving and scaling at 20 percent, pipelines at 18 and monitoring at 13. Knowing which serving pattern fits a latency requirement matters more than deriving an algorithm.
How long is it valid?
Two years, one less than the foundational and associate certifications. Renewal means passing the full exam again.