Answer-first summary for fast verification
Answer: JOB_STATE_RUNNING — This is NOT a valid state in Vertex AI. The platform uses ACTIVE to denote a running job, not RUNNING., JOB_STATE_ENDED — This is NOT a valid state. Completion states are typically SUCCEEDED, FAILED, or CANCELLED, not ENDED.
In Vertex AI's custom training lifecycle, `JOB_STATE_RUNNING` and `JOB_STATE_ENDED` are not valid states. The correct states for a job that is executing are marked as `JOB_STATE_ACTIVE`, and upon completion, jobs are labeled as `SUCCEEDED`, `FAILED`, or `CANCELLED`. `JOB_STATE_QUEUED` is valid for jobs waiting to start. Therefore, options B and D are the incorrect states listed as valid.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
You are a Machine Learning Engineer working on a project that requires custom training using Vertex AI on Google Cloud Platform. The project involves monitoring the training jobs throughout their lifecycle to ensure successful completion. Your team is particularly interested in understanding the various states a training job can be in during its lifecycle. Given the following options, which two states are incorrectly listed as valid states for a training job in Vertex AI? (Choose two.)
A
JOB_STATE_QUEUED — This is a valid state, indicating the job is waiting in the queue before execution.
B
JOB_STATE_ENDED — This is NOT a valid state. Completion states are typically SUCCEEDED, FAILED, or CANCELLED, not ENDED.
C
JOB_STATE_ACTIVE — This is a valid state, signifying the job is currently active.
D
JOB_STATE_RUNNING — This is NOT a valid state in Vertex AI. The platform uses ACTIVE to denote a running job, not RUNNING.
E
All of the above states are correctly identified as valid or invalid.