The correct answer is that the first 100 requests are allowed, and the remaining 50 are denied. This happens because the AI model access control rate limiting policy enforces a hard cap of 100 requests per 30-minute sliding window for the 'llama-3-70b' model, which is on the allowed list. The policy does not reset per minute or allow burst averaging; once the 100-request threshold is hit within that 30-minute window, any additional inference calls are immediately rejected. On the CompTIA AI+ AI0-001 exam, this question tests your understanding of window-based rate limiting versus per-minute throttling—a common trap is assuming a 100-request limit means 100 per minute, but the key is the fixed 30-minute window. Remember the mnemonic: "Window wins, not the minute; hit the cap, you're done in it."
AI0-001 AI Concepts and Foundations Practice Question
This AI0-001 practice question tests your understanding of ai concepts and foundations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A company uses the above policy to control AI model access. A data scientist tries to run inference with model "llama-3-70b" at 150 requests in 30 minutes. What will happen?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The first 100 requests are allowed; the remaining 50 are denied
Option C is correct because the policy allows up to 100 requests per 30 minutes for models in the allowed list, and 'llama-3-70b' is in that list. The rate limit is applied per 30-minute window, not per minute, so the first 100 requests are allowed, and the remaining 50 exceed the limit and are denied.
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.
✗
All requests are allowed because the model is in the allowed list
Why it's wrong here
The rate limit still applies and is exceeded.
✗
All requests are denied because the rate limit is per minute and 150 exceeds the limit
Why it's wrong here
The rate limit is per hour, not per minute.
✓
The first 100 requests are allowed; the remaining 50 are denied
Why this is correct
The rate limit allows 100 requests per hour; exceeding requests are denied.
Related concept
Read the scenario before looking for a memorised answer.
✗
All requests are denied because the second rule blocks all models
Why it's wrong here
The second rule is a catch-all for unapproved models, but llama-3-70b is explicitly allowed.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often misinterpret the rate limit as a per-minute value (like 100 per minute) rather than the stated 100 per 30 minutes, leading them to incorrectly select Option B.
Detailed technical explanation
How to think about this question
Under the hood, the policy implements a sliding window rate limiter that tracks request timestamps within a 30-minute interval. When the 101st request arrives, the system checks if the count exceeds the threshold and denies further requests until the window resets. In real-world scenarios, such rate limiting prevents resource exhaustion and ensures fair access, but misconfiguring the window duration (e.g., confusing minutes with seconds) can lead to unexpected denials or overages.
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.
TExam Day Tips
→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 practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
AI Concepts and Foundations — This question tests AI Concepts and Foundations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The first 100 requests are allowed; the remaining 50 are denied — Option C is correct because the policy allows up to 100 requests per 30 minutes for models in the allowed list, and 'llama-3-70b' is in that list. The rate limit is applied per 30-minute window, not per minute, so the first 100 requests are allowed, and the remaining 50 exceed the limit and are denied.
What should I do if I get this AI0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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