The answer is that ambiguous or missing function descriptions are a primary factor to check when diagnosing function calling failures in Azure OpenAI. This is correct because the model relies on precise, unambiguous descriptions to map user intent to the correct function; vague or absent descriptions force the model to guess, leading to incorrect selection or malformed calls. Additionally, an overly restrictive token limit can truncate function definitions, preventing the model from seeing the full schema and causing it to omit available functions entirely. On the AI-102 exam, this tests your understanding of how prompt engineering and token management directly impact function calling reliability—a common trap is to blame the model’s reasoning when the real issue is incomplete or poorly written descriptions. Remember the mnemonic “DOT”: Descriptions, Output limits, and Token truncation are the three pillars to verify first.
AI-102 Implement agentic AI solutions Practice Question
This AI-102 practice question tests your understanding of implement agentic ai solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
An agent uses Azure OpenAI with function calling to perform actions. The agent is not executing functions correctly. Which THREE factors should the team check to diagnose the issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The token limit is too low, truncating the function definitions.
Option B is correct because if the token limit is too low, the model may not receive the full function definitions, causing it to omit or misinterpret available functions. This truncation prevents the model from correctly selecting or formatting function calls, leading to execution failures.
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.
✗
The temperature parameter is set too high.
Why it's wrong here
Temperature does not affect function calling capability.
✓
The token limit is too low, truncating the function definitions.
Why this is correct
Low token limits can cut off function definitions.
Related concept
Read the scenario before looking for a memorised answer.
✓
The function parameter schemas are incorrect or incomplete.
Why this is correct
Incorrect schemas prevent proper function execution.
Related concept
Read the scenario before looking for a memorised answer.
✓
The function descriptions are ambiguous or missing.
Why this is correct
Ambiguous descriptions can confuse the model.
Related concept
Read the scenario before looking for a memorised answer.
✗
The model version is outdated.
Why it's wrong here
Outdated versions still support function calling.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the misconception that temperature or model version are primary causes for function-calling failures, when in reality the core issues are token limits, schema correctness, and description clarity.
Detailed technical explanation
How to think about this question
Function calling in Azure OpenAI relies on the model receiving complete JSON schemas and descriptions within the system message. If the token limit truncates these definitions, the model may 'see' only partial schemas, leading to malformed or missing function calls. The token limit applies to the entire prompt, including system instructions, user messages, and function definitions, so even a small reduction can cut critical details.
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.
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.
Implement agentic AI solutions — This question tests Implement agentic AI solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The token limit is too low, truncating the function definitions. — Option B is correct because if the token limit is too low, the model may not receive the full function definitions, causing it to omit or misinterpret available functions. This truncation prevents the model from correctly selecting or formatting function calls, leading to execution failures.
What should I do if I get this AI-102 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.
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 →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is building an agent that needs to perform tasks like sending emails and updating a CRM system. The agent uses Azure OpenAI with function calling. The team defines functions for these tasks. When the agent is tested, it sometimes calls the wrong function or invents function names. What should the team do to improve the reliability of function calling?
easy
A.Fine-tune the model on a dataset of correct function calls.
B.Reduce the number of functions to only the most common ones.
C.Set the temperature parameter to 0 for deterministic output.
✓ D.Provide better function descriptions with examples of when to use each function.
Why D: Option D is correct because providing better function descriptions with examples directly improves the model's ability to select the appropriate function. Azure OpenAI's function calling relies on the semantic understanding of the function definitions; clear descriptions and usage examples reduce ambiguity, helping the model map user intent to the correct function signature without hallucinating names.
Last reviewed: Jun 30, 2026
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.
This AI-102 practice question is part of Courseiva's free Microsoft 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 AI-102 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.