PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #36
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #36: Real Exam Question with Answer & Explanation
Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #36. The question stem and answer options stay visible for context.
Question
You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano, Scikit-learn, and custom libraries. What should you do?
Options
- AUse the AI Platform custom containers feature to receive training jobs using any framework.
- BConfigure Kubeflow to run on Google Kubernetes Engine and receive training jobs through TF
- CCreate a library of VM images on Compute Engine, and publish these images on a centralized
- DSet up Slurm workload manager to receive jobs that can be scheduled to run on your cloud
Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.