Professional Machine Learning Engineer practice examsFinished
Google Cloud Professional Machine Learning Engineer
Machine learning engineering on Google Cloud as the exam now names it, Gemini Enterprise Agent Platform (formerly Vertex AI): low-code models in BigQuery ML and AutoML, AI APIs and foundation models from Model Garden, data preparation, notebooks and experiments, choosing models, training and hardware, serving and scaling, pipelines and retraining, and securing and monitoring AI solutions.
What you get
Papers are cut from the bank and weighted like the real exam, and no question appears in two of them. Every wrong answer comes back on later days until you have it right.
What the exam covers
| Architecting low-code AI solutions | ~13% |
| Collaborating within and across teams to manage data and models | ~16% |
| Scaling prototypes into ML models | ~21% |
| Serving and scaling models | ~20% |
| Automating and orchestrating ML pipelines | ~18% |
| Monitoring AI solutions | ~13% |
Two sample questions
1. A forecasting team must show managers how holidays and seasonality shaped each forecast. What should the ML engineer use?
- ML.PREDICT on a DNN
- ML.EXPLAIN_FORECAST on ARIMA_PLUS — correct
- ML.RECOMMEND on matrix factorization
- ML.TRANSFORM on the input
Why: ML.EXPLAIN_FORECAST returns forecast components, such as trend, seasonality and holiday effects, with intervals.
2. A Private Service Connect endpoint's requests time out after 10 minutes. What should the ML engineer do for longer requests?
- Switch to a shared public endpoint
- Raise inference_timeout up to an hour — correct
- Use a VPC-peered private endpoint
- Split traffic across two aliases
Why: PSC endpoints default to a 10-minute timeout, configurable up to 3,600 seconds.
The real Professional Machine Learning Engineer exam
| Length | 2 hours |
|---|---|
| Questions | 50-60 multiple choice and multiple select |
| Pass mark | Not published |
| Price | $200 (plus tax where applicable) |
| Recommended before you sit it | None. Google recommends three or more years of industry experience, including one or more years designing and managing solutions on Google Cloud. |
| Valid for | Renewed by exam from 60 days before the inactive date; renewal adds 2 years |
Exam facts as published by Google Cloud; always check the vendor’s page before you book.
Study Professional Machine Learning Engineer with Chiron
Chiron is invitation-only while we are in beta, and nothing is for sale yet: invited accounts use every paper, drill and course note for free.