This AI-102 practice question tests your understanding of implement an agentic solution. 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.
You are building an agentic solution that needs to process large documents uploaded by users. The agent should extract key information and summarize the content. Which tool should you enable?
Function calling
Why wrong: Function calling invokes custom functions, but not directly for document processing.
KQL
Why wrong: KQL is for querying Azure Data Explorer, not document processing.
Code Interpreter
Code Interpreter can execute Python scripts for document processing.
Knowledge base
Why wrong: Knowledge base is for search, not document processing.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Code Interpreter
Code Interpreter (now called 'Code Interpreter' in Azure AI Studio/Assistants API) provides a sandboxed Python environment that can execute code to process uploaded files, including parsing large documents, extracting key information, and generating summaries. It handles file I/O, data manipulation, and natural language processing libraries, making it the correct tool for this agentic document-processing task.
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 it's wrong here
Function calling invokes custom functions, but not directly for document processing.
KQL
Why it's wrong here
KQL is for querying Azure Data Explorer, not document processing.
Code Interpreter
Why this is correct
Code Interpreter can execute Python scripts for document processing.
Related concept
Read the scenario before looking for a memorised answer.
Knowledge base
Why it's wrong here
Knowledge base is for search, not document processing.
Common exam traps
Microsoft often tests the distinction between tools that execute code (Code Interpreter) versus tools that retrieve or query static data (Function calling, KQL, Knowledge base), leading candidates to mistakenly choose Function calling for any 'processing' task.
Detailed technical explanation
Code Interpreter runs in a secure, ephemeral Python environment with pre-installed libraries like PyPDF2, python-docx, and pandas, enabling direct file parsing and text extraction. It can also leverage libraries like NLTK or spaCy for summarization, and its output is automatically included in the conversation context for the agent to use. A subtle behavior: Code Interpreter has a session timeout and limited disk space (approx. 500 MB), so very large documents may need chunking or streaming strategies.
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
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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: Code Interpreter — Code Interpreter (now called 'Code Interpreter' in Azure AI Studio/Assistants API) provides a sandboxed Python environment that can execute code to process uploaded files, including parsing large documents, extracting key information, and generating summaries. It handles file I/O, data manipulation, and natural language processing libraries, making it the correct tool for this agentic document-processing task.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 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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