Google Cloud Professional Machine Learning Engineer — Question 121

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?

Answer options

• A. Use the Vertex AI Training to submit training jobs using any framework.
• B. Configure Kubeflow to run on Google Kubernetes Engine and submit training jobs through TFJob.
• C. Create a library of VM images on Compute Engine, and publish these images on a centralized repository.
• D. Set up Slurm workload manager to receive jobs that can be scheduled to run on your cloud infrastructure.

Correct answer: A

Explanation

The correct answer is A because Vertex AI Training is designed to handle multiple frameworks seamlessly, making it ideal for your team's diverse needs. Option B requires more complex setup and is more framework-specific, while C and D involve creating and managing infrastructure that doesn’t simplify the job submission process as effectively as A.