Simulate the real Google Professional Machine Learning Engineer exam with full-length timed sessions. Questions drawn proportionally from all 8 official blueprint domains — the same mix you'll face on test day.
Simulate real exam conditions
For the most realistic PMLE simulation, start a 60 or 120-question session, put away all notes, set a timer matching the real exam duration (120 minutes), and commit to each answer before moving forward. This trains the time management and decision-making skills the real exam tests.
This free PMLE mock exam uses the same question distribution as the real Google Professional Machine Learning Engineer exam. Each session draws questions proportionally from all 8 official blueprint domains published by Google Cloud, so the topic mix you see accurately reflects what you'll face on test day.
PMLE Domain Distribution
Automating and Orchestrating ML Pipelines
Collaborating Within and Across Teams to Manage Data and Models
Serving and Scaling Models
Monitoring ML Solutions
Architecting Low-Code ML Solutions
Scaling Prototypes into ML Models
Collaborating to manage data and models
Solving business challenges with ML
Every question is written by certified engineers against the 2026 PMLE exam objectives. These are original practice questions — not dumps — so you build real understanding rather than memorising answers.
Both the mock exam and practice test use the same question bank. The difference is in how you use them — and when to use each during your PMLE study plan.
Practice test — for learning
Use the PMLE practice test when you are studying a domain. Answer questions, read every explanation immediately, and build understanding. Do 10–30 questions per domain per session. This is your primary study tool for the first 4 weeks.
Go to practice test →Mock exam — for simulation
Use the PMLE mock exam in the final 1–2 weeks before your test date. Complete a 60 or 120-question session without stopping, manage your time, then review all results at the end. This builds exam-day stamina and surfaces final weak spots.
Start 120-question mock →Try these sample questions from the mock exam bank. Commit to an answer before revealing the explanation.
A data scientist creates a custom Python function component for a Vertex AI pipeline using the Kubeflow Pipelines SDK v2. The component takes a string parameter 'input_text' and outputs a Metrics artifact. The scientist wants to include a lightweight Python function without building a container. Which code snippet correctly defines this component?
Select an answer to reveal the explanation
A data science team uses Vertex AI Experiments to track training runs. They want to automatically log parameters, metrics, and artifacts for all runs with minimal code changes. Which approach should they take?
Select an answer to reveal the explanation
A data scientist wants to deploy a trained TensorFlow model to Vertex AI for online predictions. They need to serve predictions with low latency and want to leverage GPU acceleration. Which machine type should they select when creating the Vertex AI endpoint?
Select an answer to reveal the explanation
A data scientist has deployed a model on Vertex AI Endpoints and wants to monitor the model's predictions for any drift over time. Which Vertex AI service should they use?
Select an answer to reveal the explanation
A retail company wants to predict customer churn using historical purchase data stored in BigQuery. The data includes customer demographics, transaction history, and support interactions. The team is comfortable writing SQL and wants to avoid moving data to a separate environment. Which approach should they take?
Select an answer to reveal the explanation
You have a TensorFlow training script that runs on a single machine. To speed up training on Vertex AI with 8 GPUs on a single machine, which strategy should you use?
Select an answer to reveal the explanation
A data science team uses BigQuery to store raw data and Vertex AI for model training. They want to ensure that only authorized users can access training data, and that model artifacts are automatically versioned and tracked. Which combination of Google Cloud services should they use?
Select an answer to reveal the explanation
A retail company wants to forecast weekly sales for each of its 500 stores. The data includes historical sales, promotions, holidays, and local weather. The company needs to update forecasts every week with new data. Which ML approach should they use?
Select an answer to reveal the explanation
Answer all 8 questions to see your domain score breakdown
Sitting the PMLE under real exam conditions is a skill in itself. Candidates who underperform often do so not because of knowledge gaps, but because of poor time management or test anxiety. Use your final mock exam sessions to address both.
The PMLE exam lasts 120 minutes. Do not spend more than 90 seconds on any single question on the first pass. Flag difficult ones and return to them after completing the rest.
On every question, immediately eliminate obviously wrong choices. Even if you are unsure between two options, narrowing to two doubles your odds. Most PMLE distractors contain a subtle error — re-read the scenario constraint before committing to the answer that sounds most familiar.
Google Cloud writes many PMLE questions as realistic scenarios. Read the final sentence first — it tells you what is being asked. Then re-read the scenario with the question in mind to avoid wasting time on irrelevant details.
The real PMLE is a mental marathon lasting 120 minutes. In the week before your exam, complete at least two full timed mock sessions on separate days to build concentration stamina. If you cannot stay focused for 120 minutes in practice, you will struggle on exam day.
Questions
60
On the real exam
Time limit
120 min
2 min per question
Passing score
720/1000
Scaled scoring
The PMLE uses scaled scoring — your raw percentage correct is converted to a score out of 1000. Consistently scoring above 80% on mock exams puts you well above the 720/1000 threshold, giving you a buffer for any unexpected question types on the real exam.
Yes. Courseiva provides free PMLE mock exam questions across all official exam domains. The platform includes timed simulation, per-domain score breakdown, missed-question review, and readiness tracking. No account required — free forever, supported by advertising.
The practice test is optimised for learning: you see explanations after each question immediately. The mock exam is optimised for simulation: you answer all questions under time pressure and review at the end. Use practice tests for studying and mock exams for benchmarking.
Aim for consistent scores of 80% or above on full-length PMLE mock exams before booking your test date. The official passing score of 720/1000 corresponds to roughly 72–75% correct answers, so an 80% buffer accounts for difficulty variation and question styles on the real exam.
Most candidates who pass PMLE on their first attempt complete 3–5 full-length mock exams in the two weeks before their test. This is enough to identify final weak spots, build stamina, and verify readiness without over-stressing or running out of fresh questions.
No — all Courseiva questions are original, written by certified engineers against public Google Cloud exam blueprints. Exam dumps are memorised real exam questions shared illegally. Using dumps violates your Google Cloud certification agreement and can result in your certification being revoked. Our questions make you genuinely competent, not just test-day lucky.
Track your mock exam scores, see per-domain analytics, and benchmark readiness across every certification.
Sign Up FreeFree forever · Every certification included