PMLEGCP2025 Latest Questions Updated

Google Professional Machine Learning Engineer

Cloud Pass is a practice question app designed for the GCP PMLE (Google Professional Machine Learning Engineer) exam.

It provides realistic exam-style questions, accurate answers, and clear concept explanations based on the latest exam trends. Instead of relying on unverified GCP PMLE dumps found online, Cloud Pass offers up-to-date practice questions and detailed explanations to help you study efficiently and improve your score. In addition to the Google Professional Machine Learning Engineer (PMLE), Cloud Pass supports 24 AWS and GCP certifications, making it an ideal platform for anyone preparing for cloud certification exams.

📘335questions available in the app

⭐ Real User Pass Reviews: PMLE

Actual experiences from Cloud Pass users who passed

Passed my exam

2025-11-24

Just want to say a massive thank you to the entire Cloud pass, for helping me pass my exam first time. I wont lie, it wasn't easy, especially the way the real exam is worded, however the way practice questions teaches you why your option was wrong, really helps to frame your mind and helps you to understand what the question is asking for and the solutions your mind should be focusing on. Thanks once again.

C***************

Study Period: 1 month

passed on first attempt

2025-11-23

Good questions banks and explanations that help me practise and pass the exam.

f****

Study Period: 1 month

합격

2025-11-12

강의 듣고 바로 문제 풀었는데 정답률 80% 가량 나왔고, 높은 점수로 시험 합격했어요. 앱 잘 이용했습니다

민

민**

Study Period: 1 month

Passed!

2025-11-11

Good mix of theory and practical scenarios

S************

Study Period: 1 month

Helpful for refreshing ml fundamentals

2025-11-06

I used the app mainly to review the fundamentals—data preparation, model tuning, and deployment options on GCP. The explanations were simple and to the point, which really helped before the exam.

A***********

Study Period: 1 month

Helped build confidence for the exam

2025-10-31

I wasn’t sure about my readiness at first, but doing a few sets of questions every day helped a lot. By exam day, I felt much more confident. Thanks

J************

Study Period: 1 month

📝 335 Exam Questions

Check out the latest 2025 updated questions

Question 1

You deployed a TensorFlow recommendation model to a Vertex AI Prediction endpoint in us-central1 with autoscaling enabled. Over the last week, you observed sustained traffic of ~1,200 requests per hour (about 20 RPS) during business hours, which is 2x higher than your original estimate, and you need to keep P95 latency under 150 ms during future surges. You want the endpoint to scale efficiently to handle this higher baseline and upcoming spikes without causing user-visible latency. What should you do?

Question 2

You plan to fine-tune a video-frame classifier via transfer learning using a pre-trained ResNet-50 backbone. Your labeled dataset contains 18,000 1080p frames, and you will retrain the model once per day; each training run completes in under 60 minutes on 4 V100 GPUs, and you must minimize infrastructure cost and operational overhead. Which platform components and configuration should you choose?

Question 3

Your team is preparing to train a fraud detection model using data in BigQuery that includes several fields containing PII (for example, card_number, customer_email, and phone_number). The dataset has approximately 250 million rows and every column is required as a feature. Security requires that you reduce the sensitivity of PII before training while preserving each column’s format and length so downstream SQL joins and validations continue to work. The transformation must be deterministic so the same input always maps to the same protected value, and authorized teams must be able to decrypt values for audits. How should you proceed?

Question 4

Your team deployed a regression model that predicts hourly water usage for industrial chillers. Four months after launch, a vendor firmware update changed sensor sampling and units for three input features, and the live feature distributions diverged: 5 of 18 features now have a population stability index > 0.25, 27% of temperature readings fall outside the training range, and production RMSE increased from 0.62 to 1.45. How should you address the input differences in production?

Question 5

You are a data scientist at a city transportation agency tasked with forecasting hourly bike-share demand per station to optimize rebalancing. Your historical trips table in BigQuery contains 24 months of data (~22 million rows) with columns: timestamp, station_id, neighborhood, weather_condition (sunny/rainy/snow), special_event (boolean), and surge_pricing_flag (boolean). You need to choose the most effective combination of a BigQuery ML model and feature engineering to minimize RMSE while capturing weekly/seasonal patterns and handling multiple categorical variables; what should you do?

🎯 Practice with real exam simulations

Practice in an environment identical to the real exam

Exam simulation 1

120분

Questions

Pass Score

75/100

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❓ Frequently Asked Questions

Check out frequently asked questions and answers

Q. Can I download GCP PMLE exam questions and answers?

A. Cloud Pass provides access to real GCP certification-style questions directly in the app. While we don't offer downloadable PDFs, you can practice all questions anytime, anywhere with detailed explanations.

Q. Are GCP PMLE dumps available in PDF format?

A. No, Cloud Pass does not distribute exam dumps or PDFs. Instead, we provide a clean and interactive experience where you can study with 10,000+ verified practice questions and track your progress across devices.

Q. How can I take practice tests for the GCP PMLE exam?

A. You can take full-length practice tests within the Cloud Pass app. Each test simulates the real GCP exam format, includes instant feedback, and helps you measure your readiness before the actual exam.

Q. Are these GCP PMLE exam questions real or updated for 2025?

A. Yes. All GCP practice questions in Cloud Pass are based on real-world exam topics and updated regularly to reflect the latest Google Professional Machine Learning Engineer (PMLE) objectives in 2025.