AIP-C01 Implementation And Integration Practice Question
An application uses Amazon Bedrock InvokeModel to generate text. You notice that the output length is consistently truncated. Which parameter should you adjust to ensure the full response is captured?
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
✓
Increase the max_tokens parameter
The max_tokens (or max_gen_len) parameter limits the number of tokens in the generated output. Increasing this allows for longer 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.
- ✓
Increase the max_tokens parameter
Why this is correct
Increasing max_tokens allows the model to generate more tokens.
- ✗
Increase the temperature parameter
Why it's wrong here
Temperature controls randomness, not length.
- ✗
Increase the top_p parameter
Why it's wrong here
Top_p controls diversity, not response length.
- ✗
Decrease the stop_sequences parameter
Why it's wrong here
Stop sequences end generation early; decreasing them does not extend length.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Amazon Web Services exam blueprint
This AIP-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIP-C01 exam.