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PMLE Practice Question: Drag and drop the steps to set up a distributed…
Drag and drop the steps to set up a distributed training job on Vertex AI using a custom container in the correct order.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Prepare training code and create Dockerfile, then build and push the container image to Artifact Registry, then configure the distributed training job on Vertex AI, then submit the job.
The correct sequence for setting up a distributed training job on Vertex AI using a custom container is to first prepare the training code and Dockerfile, then build and push the container image to a registry, then configure the job with the image URI and distributed settings, and finally submit the job. This order ensures that all dependencies are met at each step.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Prepare training code and create Dockerfile, then build and push the container image to Artifact Registry, then configure the distributed training job on Vertex AI, then submit the job.
Why this is correct
This is correct because you need to have the container ready before you can reference it in the job configuration, and you need to configure the job before submitting it.
- ✗
Build and push the container image first, then write the training code and create Dockerfile, then configure the job, then submit.
Why it's wrong here
This is incorrect because you cannot build the container without first having the training code and Dockerfile ready.
- ✗
Configure the distributed training job on Vertex AI first, then prepare code and container, then push, then submit.
Why it's wrong here
This is incorrect because the job configuration requires a container image URI, so you need to have pushed the container before configuring the job.
- ✗
Submit the job first, then build and push the container, then write code, then configure.
Why it's wrong here
This is incorrect because submitting a job requires a fully configured job specification with a container image that already exists, so all preceding steps must be completed first.
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