AIF-C01 Fundamentals of Generative AI Practice Question

Exhibit

Refer to the exhibit.

```
{
  "modelId": "amazon.titan-text-lite-v1",
  "contentType": "application/json",
  "accept": "application/json",
  "body": {
    "inputText": "Summarize the following meeting notes: ...",
    "textGenerationConfig": {
      "maxTokenCount": 100,
      "stopSequences": [],
      "temperature": 0,
      "topP": 0.9
    }
  }
}
```

A developer is using the Amazon Bedrock InvokeModel API with the above request to summarize meeting notes. The response is a single word repeated many times. Which parameter is MOST likely causing this issue?

⚠ Common exam trap

AWS often tests the misconception that temperature only affects 'creativity' or 'randomness,' when in fact a temperature of 0 causes deterministic argmax selection, which can paradoxically produce repetitive or stuck outputs rather than simply 'less creative' text.

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 set to 0

A temperature of 0 forces the model to always select the highest-probability token at each step, which can lead to repetitive loops if the most likely token repeatedly points back to itself (e.g., the same word). This deterministic behavior eliminates randomness, causing the model to get stuck in a single-word cycle rather than generating diverse or coherent text.

Answer analysis

Option-by-option breakdown

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

✗
topP set to 0.9
Why it's wrong here
This is a moderate value that should not cause repetition.
✗
stopSequences is empty
Why it's wrong here
Empty stop sequences are normal.
✗
maxTokenCount set to 100
Why it's wrong here
Max token count limits length, not repetition.
✓
temperature set to 0
Why this is correct
Temperature 0 makes output deterministic and prone to repetition.

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AIF-C01 Fundamentals of Generative AI Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

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