The correct answer is that the stop_sequences parameter tells the model to stop generating when it encounters that specific sequence. In the Claude API, this parameter acts as a hard stop signal: once the model outputs the exact string you define—such as a period, a newline, or a custom token like “\n\nHuman:”—it immediately ceases generation, preventing the model from producing additional turns or extraneous content. On the AWS Certified AI Practitioner AIF-C01 exam, this concept tests your understanding of how to control output boundaries in foundation model invocations, often appearing alongside questions about max_tokens and temperature. A common trap is confusing stop_sequences with max_tokens, but remember: max_tokens limits length, while stop_sequences halts on a specific pattern. For a quick memory tip, think of stop_sequences as the “emergency brake” for your model’s output—pull it at the right moment to keep responses clean and on-topic.
AIF-C01 Applications of Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of applications of foundation models. 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
Refer to the exhibit.
{
"modelId": "anthropic.claude-v2",
"contentType": "application/json",
"accept": "application/json",
"body": {
"prompt": "Human: Summarize the following text in 50 words. Text: AWS is a cloud platform. Response:",
"max_tokens_to_sample": 200,
"temperature": 1.0,
"stop_sequences": ["\n\nHuman:"]
}
}
Refer to the exhibit. This is an Amazon Bedrock invocation request for Claude. What is the purpose of the "stop_sequences" parameter?
Refer to the exhibit.
{
"modelId": "anthropic.claude-v2",
"contentType": "application/json",
"accept": "application/json",
"body": {
"prompt": "Human: Summarize the following text in 50 words. Text: AWS is a cloud platform. Response:",
"max_tokens_to_sample": 200,
"temperature": 1.0,
"stop_sequences": ["\n\nHuman:"]
}
}
A
It tells the model to stop generating when it encounters that sequence
Stop sequences cause the model to halt generation at that point.
B
It specifies a character sequence for the model to include in its response
Why wrong: Stop sequences terminate generation, not include sequences.
C
It limits the number of tokens in the response
Why wrong: Token limit is controlled by max_tokens_to_sample.
D
It controls the randomness of the response
Why wrong: Randomness is controlled by temperature.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
It tells the model to stop generating when it encounters that sequence
Option C is correct. Stop sequences tell the model to stop generating when a specified sequence is encountered, preventing the model from generating additional turns. Option A (alternative response) is incorrect. Option B (maximum tokens is already set). Option D (control randomness is temperature).
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 tells the model to stop generating when it encounters that sequence
Why this is correct
Stop sequences cause the model to halt generation at that point.
Related concept
Static NAT maps one inside address to one outside address.
✗
It specifies a character sequence for the model to include in its response
Why it's wrong here
Stop sequences terminate generation, not include sequences.
✗
It limits the number of tokens in the response
Why it's wrong here
Token limit is controlled by max_tokens_to_sample.
✗
It controls the randomness of the response
Why it's wrong here
Randomness is controlled by temperature.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AIF-C01 NAT questions on configuration and troubleshooting.
Applications of Foundation Models — This question tests Applications of Foundation Models — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: It tells the model to stop generating when it encounters that sequence — Option C is correct. Stop sequences tell the model to stop generating when a specified sequence is encountered, preventing the model from generating additional turns. Option A (alternative response) is incorrect. Option B (maximum tokens is already set). Option D (control randomness is temperature).
What should I do if I get this AIF-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AIF-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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