The answer is to increase the `max_tokens_to_sample` parameter to 1000. This is correct because the `max_tokens_to_sample` parameter in Amazon Bedrock directly controls the maximum number of tokens the model can generate in its response; setting it to 200 artificially truncates the output, so raising it allows Claude v2 to produce a longer summary. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of inference parameters for foundation models, often appearing in scenarios where output seems cut off—a common trap is to assume the prompt or region is the issue, but only token limits govern response length. Remember the mnemonic “Max Tokens = Max Text” to recall that adjusting this parameter is the sole way to extend output, not changing the prompt or AWS region.
AIF-C01 Fundamentals of Generative AI Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of generative ai. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Exhibit
aws bedrock-runtime invoke-model \
--model-id anthropic.claude-v2 \
--body '{"prompt":"\n\nHuman: Summarize the following text: ...\n\nAssistant:","max_tokens_to_sample":200}' \
--cli-binary-format raw-in-base64-out \
--region us-east-1 \
output.json
The output.json file contains:
{"completion": " The summary is...", "stop_reason": "stop_sequence"}
Refer to the exhibit. A developer runs the CLI command to summarize text using Claude v2 in Bedrock. The output is shorter than expected. Which change should the developer make to allow a longer response?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase 'max_tokens_to_sample' to 1000
The 'max_tokens_to_sample' parameter is set to 200, which limits output length. Increasing it allows longer responses. The prompt or region change does not affect length.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 'max_tokens_to_sample' to 1000
Why this is correct
This parameter directly controls the maximum number of tokens in the generated response.
Related concept
Read the scenario before looking for a memorised answer.
✗
Change the prompt to include 'Write a long summary'
Why it's wrong here
While wording can influence length, the primary constraint is the max_tokens parameter.
✗
Set 'stop_reason' to 'none'
Why it's wrong here
Stop reason is an output field, not an input parameter.
✗
Use a different region like us-west-2
Why it's wrong here
Region does not affect model output length.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
Stop reason is an output field, not an input parameter.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Fundamentals of Generative AI — This question tests Fundamentals of Generative AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase 'max_tokens_to_sample' to 1000 — The 'max_tokens_to_sample' parameter is set to 200, which limits output length. Increasing it allows longer responses. The prompt or region change does not affect length.
What should I do if I get this AIF-C01 question wrong?
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
This AIF-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 AIF-C01 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.