The answer is the n parameter. In Azure OpenAI Service, the n parameter directly controls the number of completions generated for a single API call, so setting n=5 instructs the model to produce exactly five distinct text outputs, such as alternative product slogans, each returned as a separate string in the response. This parameter is essential when you need multiple candidate responses from one request without making repeated calls. On the Microsoft Azure AI Fundamentals AI-900 exam, this concept tests your understanding of how to configure inference parameters for generative tasks, often appearing in scenarios where a developer wants to compare or select from several outputs. A common trap is confusing n with the max_tokens parameter, which limits response length rather than quantity. Remember: n for number of completions—think “n for number” to keep it straight.
AI-900 Practice Question: Describe features of generative AI workloads on Azure
This AI-900 practice question tests your understanding of describe features of generative ai workloads on azure. 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 developer uses Azure OpenAI Service to generate multiple alternative product slogans. The developer wants to get exactly 5 different slogan options in a single API call, each being a separate piece of text. Which parameter should the developer set to control the number of completions returned?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
n
The 'n' parameter in Azure OpenAI Service specifies the number of completions (candidate responses) to generate for each API call. Setting n=5 returns exactly five distinct slogan options as separate text strings, fulfilling the requirement of a single request producing multiple alternatives.
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.
✗
temperature
Why it's wrong here
Temperature controls the randomness of the output, not the number of completions.
✗
max_tokens
Why it's wrong here
max_tokens sets the maximum number of tokens for each completion, not the count of completions.
✓
n
Why this is correct
The 'n' parameter directly determines how many completions the API returns for the prompt.
Related concept
Read the scenario before looking for a memorised answer.
✗
stop
Why it's wrong here
Stop sequences cause the generation to end when encountered, but do not control how many completions are produced.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse parameters that affect output quality (temperature) or length (max_tokens) with the parameter that controls output quantity (n), leading them to pick a plausible-sounding but incorrect option like temperature.
Trap categories for this question
Command / output trap
Temperature controls the randomness of the output, not the number of completions.
Detailed technical explanation
How to think about this question
Under the hood, the 'n' parameter instructs the model to sample multiple independent completions from the same prompt, each using the same temperature and other settings; the API returns them as an array in the 'choices' field. A subtle behavior is that increasing 'n' consumes more tokens proportionally (n * max_tokens), which can impact cost and rate limits. In real-world scenarios, developers often use n=3 to 5 for brainstorming tasks like slogan generation, then select the best option programmatically or via human review.
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 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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe features of generative AI workloads on Azure — This question tests Describe features of generative AI workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: n — The 'n' parameter in Azure OpenAI Service specifies the number of completions (candidate responses) to generate for each API call. Setting n=5 returns exactly five distinct slogan options as separate text strings, fulfilling the requirement of a single request producing multiple alternatives.
What should I do if I get this AI-900 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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