Quick Answer
The answer is Code Interpreter and Function Calling. Code Interpreter is correct because it provides a sandboxed Python environment that can execute SQL queries against Azure SQL databases using libraries like pyodbc or SQLAlchemy, enabling both read and write operations through scripted database interactions. Function Calling complements this by allowing you to define custom, parameterized tools that invoke stored procedures or direct database operations, giving you precise control over write actions that Code Interpreter alone might not handle securely. On the AI-102 exam, this question tests your understanding of how Azure AI Agent Service extends agent capabilities beyond simple knowledge retrieval; a common trap is selecting Knowledge Base (read-only search) or KQL (Azure Data Explorer only), neither of which supports writes to Azure SQL. Remember the memory tip: “Code writes the script, Function calls the action” — Code Interpreter handles dynamic query execution, while Function Calling manages controlled, custom database operations.
This AI-102 practice question tests your understanding of implement an agentic solution. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You are designing an agentic solution using Azure AI Agent Service. The agent needs to be able to both read and write data to an Azure SQL database. Which TWO tools should you configure?
Function calling
Function calling can be used to define custom functions that interact with the database.
KQL
Why wrong: KQL is for Azure Data Explorer, not Azure SQL.
Grounding with Bing
Why wrong: Grounding with Bing is for web search.
Code Interpreter
Code Interpreter can run Python code that reads and writes to SQL databases.
Knowledge base
Why wrong: Knowledge base is for search indexes, not direct database read/write.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Function calling
Code Interpreter can execute SQL queries via Python. Function calling can be used to invoke custom database operations. Knowledge base is for search, not write. KQL is for Azure Data Explorer.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Function calling
Why this is correct
Function calling can be used to define custom functions that interact with the database.
Related concept
Read the scenario before looking for a memorised answer.
KQL
Why it's wrong here
KQL is for Azure Data Explorer, not Azure SQL.
Grounding with Bing
Why it's wrong here
Grounding with Bing is for web search.
Code Interpreter
Why this is correct
Code Interpreter can run Python code that reads and writes to SQL databases.
Related concept
Read the scenario before looking for a memorised answer.
Knowledge base
Why it's wrong here
Knowledge base is for search indexes, not direct database read/write.
Common exam traps
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.
Detailed technical explanation
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which AI-102 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.
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FAQ
Implement an agentic solution — This question tests Implement an agentic solution — Read the scenario before looking for a memorised answer..
The correct answer is: Function calling — Code Interpreter can execute SQL queries via Python. Function calling can be used to invoke custom database operations. Knowledge base is for search, not write. KQL is for Azure Data Explorer.
Identify which AI-102 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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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