- A
Use the synchronous API for each invoice
Why wrong: Synchronous API is for single documents; batch requires async.
- B
Train a custom model for invoice extraction
Why wrong: Prebuilt invoice model exists and does not require custom training.
- C
Provision a standard (S0) tier Document Intelligence resource
S0 tier supports higher throughput and batch processing.
- D
Implement batch processing using the async document analysis API
Async API supports batch processing of multiple documents.
- E
Store output directly in Azure Blob Storage without API calls
Why wrong: Output must be processed via the API; Blob Storage is optional storage.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai 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 a solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must handle high throughput and process documents in batch. Which TWO configuration options should you use?
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
Provision a standard (S0) tier Document Intelligence resource
The standard (S0) tier is required for production-grade throughput because it offers higher transactions per second (TPS) and better scalability compared to the free (F0) tier. For batch processing of invoices, the async document analysis API is the correct choice because it supports submitting multiple documents in a single call and returns results via a polling mechanism, which is designed for high-volume scenarios.
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.
- ✗
Use the synchronous API for each invoice
Why it's wrong here
Synchronous API is for single documents; batch requires async.
- ✗
Train a custom model for invoice extraction
Why it's wrong here
Prebuilt invoice model exists and does not require custom training.
- ✓
Provision a standard (S0) tier Document Intelligence resource
Why this is correct
S0 tier supports higher throughput and batch processing.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Implement batch processing using the async document analysis API
Why this is correct
Async API supports batch processing of multiple documents.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Store output directly in Azure Blob Storage without API calls
Why it's wrong here
Output must be processed via the API; Blob Storage is optional storage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the synchronous API (which is simpler but not scalable) with the async API (which is designed for batch and high throughput), and they may also overlook that the free tier (F0) cannot handle production-level batch loads.
Trap categories for this question
Command / output trap
Output must be processed via the API; Blob Storage is optional storage.
Detailed technical explanation
How to think about this question
The async document analysis API uses a two-step process: first, a POST request to the 'analyze' endpoint returns a 202 Accepted with an 'Operation-Location' header containing a URL for polling; second, a GET request to that URL retrieves the results once the 'status' field changes to 'succeeded'. The S0 tier supports up to 15 TPS for the async API, while the F0 tier is limited to 1 TPS, making S0 essential for batch 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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
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Plan and manage an Azure AI solution — study guide chapter
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FAQ
Questions learners often ask
What does this AI-102 question test?
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Provision a standard (S0) tier Document Intelligence resource — The standard (S0) tier is required for production-grade throughput because it offers higher transactions per second (TPS) and better scalability compared to the free (F0) tier. For batch processing of invoices, the async document analysis API is the correct choice because it supports submitting multiple documents in a single call and returns results via a polling mechanism, which is designed for high-volume scenarios.
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.
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Last reviewed: Jun 24, 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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