Architecting low-code AI solutions
Approximate emphasis: ~13%.
EXAMNOVIQ
PMLE Professional Machine Learning Engineer practice exam
Practice architecting, building, scaling, serving, automating, and monitoring traditional and generative AI solutions on Google Cloud. Practice across Architecting low-code AI solutions and Collaborating within and across teams to manage data and models, and additional exam domains with exam-focused scoring, answer review, and progress tracking.
Practice for PMLE
Practice architecting, building, scaling, serving, automating, and monitoring traditional and generative AI solutions on Google Cloud.
20 free questions100 total practice questions70% practice target
Skills measured
Collaborating within and across teams to manage data and models
Approximate emphasis: ~16%.
Scaling prototypes into ML models
Approximate emphasis: ~21%.
Serving and scaling models
Approximate emphasis: ~20%.
Automating and orchestrating ML pipelines
Approximate emphasis: ~18%.
Monitoring AI solutions
Approximate emphasis: ~13%.