- A
Increase the batchSize to 10 to process more documents per invocation, reducing the number of total invocations.
Why wrong: Increasing batchSize would cause the function to receive more documents per call, making the timeout issue worse.
- B
Increase the maxPageSize to 500 to reduce the number of API calls to Form Recognizer.
Why wrong: Form Recognizer has its own limits; increasing maxPageSize beyond the maximum supported will result in errors.
- C
Decrease the batchSize to 1 and increase the timeout property in the skillset skill definition to PT300S.
Increasing the skill timeout to 300 seconds allows the function more time to process the document. The function's timeout must also be increased in host.json.
- D
Remove the custom skill and use the built-in OCR skill in the skillset.
Why wrong: The built-in OCR skill may not integrate with Form Recognizer's advanced features; the question requires using the existing custom skill.
Quick Answer
The correct answer is to decrease the batchSize to 1 and increase the timeout property in the skillset skill definition to PT300S. This resolves the custom skill timeout because the error explicitly states the HttpClient timeout of 100 seconds elapsed, meaning the Azure Function waiting for the asynchronous Form Recognizer API call on large 200-page PDFs simply ran out of time. By raising the timeout to 300 seconds (PT300S) in the skill definition, you give the function enough waiting room for the OCR processing to complete, while keeping batchSize=1 ensures each invocation handles only one document at a time, preventing resource contention and maintaining reliability. On the AI-102 exam, this scenario tests your understanding of how custom skill timeouts are configured in the skillset JSON, not in the indexer or data source settings—a common trap is to mistakenly adjust the indexer execution timeout instead. Remember the memory tip: “Batch stays one, timeout gets done—PT300S for the long run.”
AI-102 Practice Question: Implement knowledge mining and document intelligence solutions
This AI-102 practice question tests your understanding of implement knowledge mining and document intelligence 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.
You are a developer for a legal firm. The firm uses Azure Cognitive Search to index legal documents. They have a custom skill that performs OCR on scanned PDFs using Azure Form Recognizer. The skill is implemented as an Azure Function. Recently, the indexer has been failing with the error: "The request was canceled due to the configured HttpClient.Timeout of 100 seconds elapsing." The documents are large (up to 200 pages each). The skill calls the Form Recognizer API asynchronously. You need to resolve the timeout issue without losing the ability to process large documents. Current configuration: batchSize = 1, maxPageSize = 100, timeout = 100 seconds. You cannot change the execution time of the Form Recognizer API. What should you do?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Decrease the batchSize to 1 and increase the timeout property in the skillset skill definition to PT300S.
Option C is correct because the error indicates the HttpClient timeout (100 seconds) is too short for large documents processed by the custom skill. Increasing the timeout to PT300S (300 seconds) in the skill definition allows the Azure Function to wait longer for the asynchronous Form Recognizer API to complete, while keeping batchSize=1 ensures each invocation handles one document at a time, preventing overload and maintaining reliability for large PDFs.
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.
- ✗
Increase the batchSize to 10 to process more documents per invocation, reducing the number of total invocations.
Why it's wrong here
Increasing batchSize would cause the function to receive more documents per call, making the timeout issue worse.
- ✗
Increase the maxPageSize to 500 to reduce the number of API calls to Form Recognizer.
Why it's wrong here
Form Recognizer has its own limits; increasing maxPageSize beyond the maximum supported will result in errors.
- ✓
Decrease the batchSize to 1 and increase the timeout property in the skillset skill definition to PT300S.
Why this is correct
Increasing the skill timeout to 300 seconds allows the function more time to process the document. The function's timeout must also be increased in host.json.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Remove the custom skill and use the built-in OCR skill in the skillset.
Why it's wrong here
The built-in OCR skill may not integrate with Form Recognizer's advanced features; the question requires using the existing custom skill.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing batchSize or maxPageSize will reduce the number of invocations and thus fix the timeout, but these parameters do not affect the per-invocation timeout; the correct approach is to increase the timeout duration while keeping batchSize small to avoid overloading the skill.
Detailed technical explanation
How to think about this question
The timeout property in a custom skill definition is specified as an ISO 8601 duration (e.g., PT300S for 300 seconds) and overrides the default HttpClient timeout of 100 seconds. When the custom skill calls Form Recognizer asynchronously, it must poll for results; if the total polling time exceeds the timeout, the indexer cancels the request. Increasing the timeout ensures the skill can wait for the asynchronous operation to complete, especially for large documents that require longer processing. The batchSize parameter in the indexer controls how many documents are passed to the skill per execution; keeping it at 1 ensures each invocation handles one document, preventing memory or timeout issues from concurrent large-document processing.
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 knowledge mining and document intelligence solutions — study guide chapter
Learn the concepts, then practise the questions
- →
Implement knowledge mining and document intelligence solutions practice questions
Targeted practice on this topic area only
- →
All AI-102 questions
988 questions across all exam domains
- →
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
- →
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related AI-102 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Implement an agentic solution practice questions
Practise AI-102 questions linked to Implement an agentic solution.
Implement computer vision solutions practice questions
Practise AI-102 questions linked to Implement computer vision solutions.
Implement knowledge mining and information extraction solutions practice questions
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Implement image and video processing solutions practice questions
Practise AI-102 questions linked to Implement image and video processing solutions.
Implement natural language processing solutions practice questions
Practise AI-102 questions linked to Implement natural language processing solutions.
Implement generative AI solutions practice questions
Practise AI-102 questions linked to Implement generative AI solutions.
Implement agentic AI solutions practice questions
Practise AI-102 questions linked to Implement agentic AI solutions.
Implement knowledge mining and document intelligence solutions practice questions
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Plan and manage an Azure AI solution practice questions
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Implement content moderation solutions practice questions
Practise AI-102 questions linked to Implement content moderation solutions.
AI-102 fundamentals practice questions
Practise AI-102 questions linked to AI-102 fundamentals.
AI-102 scenario practice questions
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Start a free AI-102 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this AI-102 question test?
Implement knowledge mining and document intelligence solutions — This question tests Implement knowledge mining and document intelligence solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Decrease the batchSize to 1 and increase the timeout property in the skillset skill definition to PT300S. — Option C is correct because the error indicates the HttpClient timeout (100 seconds) is too short for large documents processed by the custom skill. Increasing the timeout to PT300S (300 seconds) in the skill definition allows the Azure Function to wait longer for the asynchronous Form Recognizer API to complete, while keeping batchSize=1 ensures each invocation handles one document at a time, preventing overload and maintaining reliability for large PDFs.
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 →
Last reviewed: Jun 11, 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.
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.