Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Google Cloud feature

A3 Ultra

Topic in 3 exam domains

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A3 Ultra · Feature
A3 Ultra · Concept · Compute Engine machine type

Also called: A3 Ultra machine series, A3 Ultra machine type, a3-ultragpu-8g

A GPU-enabled machine series designed for running large-scale AI/ML clusters with advanced placement, maintenance, and scheduling features.

Where this appears on the exam

2 objectives in 2 of 6 domains

Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.3Choosing appropriate hardware for training
  - Evaluation of compute and accelerator options (e.g., CPU, GPU, and TPU)
Domain 4
Serving and scaling models
~20% of exam
1. 4.2Scaling online model serving
  - Choosing appropriate hardware (e.g., CPU, GPU, TPU, and edge)

How learners score on this topic

Last updated October 16, 2026

Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Google Cloud feature

A3 Ultra

Topic in 3 exam domains

X LinkedIn Facebook Reddit

A3 Ultra · Feature
A3 Ultra · Concept · Compute Engine machine type

Also called: A3 Ultra machine series, A3 Ultra machine type, a3-ultragpu-8g

A GPU-enabled machine series designed for running large-scale AI/ML clusters with advanced placement, maintenance, and scheduling features.

Where this appears on the exam

2 objectives in 2 of 6 domains

Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.3Choosing appropriate hardware for training
  - Evaluation of compute and accelerator options (e.g., CPU, GPU, and TPU)
Domain 4
Serving and scaling models
~20% of exam
1. 4.2Scaling online model serving
  - Choosing appropriate hardware (e.g., CPU, GPU, TPU, and edge)

How learners score on this topic

Last updated October 16, 2026

Where this appears on the exam

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Where this appears on the exam

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How learners score on this topic