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

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

Exhibit

Refer to the exhibit.

{
  "compartmentId": "ocid1.compartment.oc1..aaaaaaaaxxx",
  "modelId": "ocid1.generativeaimodel.oc1.iad.xxxx",
  "inferenceParameters": {
    "temperature": 0.5,
    "maxTokens": 2000,
    "topP": 0.9
  }
}

A user sends an inference request with the JSON parameters shown. They notice the model is returning very short responses. What is the most likely cause?

⚠ Common exam trap

Oracle often tests the misconception that maxTokens or topP control response length directly, when in fact temperature has a more subtle effect on output length by influencing token diversity and repetition.

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

✓

temperature is set too low

A low temperature value (close to 0) makes the model highly deterministic, reducing randomness and often leading to shorter, more conservative responses. In generative AI, temperature controls the probability distribution over tokens; lower values cause the model to favor the most likely tokens, which can result in repetitive or truncated outputs. The user's inference request likely includes a temperature setting that is too low, causing the model to produce very short responses.

Answer analysis

Option-by-option breakdown

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

✗
maxTokens is set too high
Why it's wrong here
A high maxTokens allows longer responses, not shorter.
✗
topP is set too high
Why it's wrong here
High topP increases diversity and could lead to longer outputs.
✗
The modelId is incorrect
Why it's wrong here
An incorrect modelId would return an error, not short responses.
✓
temperature is set too low
Why this is correct
Low temperature reduces randomness, often leading to shorter, safer outputs.

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