Deploying and Managing Generative AI on OCI →hardMultiple ChoiceObjective-mapped

1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question

Exhibit

Refer to the exhibit.

```json
{
  "data": [
    {
      "id": "ocid1.generativeaimodel.oc1..aaaaaaEXAMPLE",
      "display-name": "my-fine-tuned-model",
      "model-type": "FINE_TUNED",
      "base-model-id": "ocid1.generativeaimodel.oc1..aaaaaaBASEMODEL",
      "time-created": "2024-05-01T12:00:00Z",
      "lifecycle-state": "ACTIVE"
    }
  ]
}
```

Given the CLI output from `oci generative-ai model list`, what can be determined about the model 'my-fine-tuned-model'?

⚠ Common exam trap

Oracle often tests the distinction between listing models and checking their lifecycle or deployment state, so candidates mistakenly assume a listed model is either deployed or still training, when in fact the `model list` command only confirms the model exists and is registered.

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

✓

It was created by fine-tuning an existing base model

The CLI output from `oci generative-ai model list` includes a model named 'my-fine-tuned-model'. In OCI Generative AI, models listed with custom names that are not part of the base model catalog (e.g., cohere.command, meta.llama) indicate they were created by fine-tuning a base model using your own dataset. The presence of a custom name without a base model prefix confirms it is a fine-tuned model, not a pre-built one.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✓
It was created by fine-tuning an existing base model
Why this is correct
The base-model-id indicates it was fine-tuned from another model.
✗
It is a pre-built model provided by OCI
Why it's wrong here
The model-type is FINE_TUNED, not PRE_BUILT.
✗
It has been deployed to an endpoint
Why it's wrong here
The output does not show any endpoint information.
✗
It is currently being trained
Why it's wrong here
Lifecycle-state is ACTIVE, meaning it's ready.

Go deeper

1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question