- A
Add a high-water mark change detection policy (e.g., based on a LastModified column) to the indexer data source. Set the indexer to run every 5 minutes.
This enables incremental indexing with minimal changes, achieving near real-time updates.
- B
Enable change tracking on the Azure SQL Database and configure the indexer to use it.
Why wrong: This is more complex and may require additional database configuration.
- C
Modify the application to use the push API to upload new products to the index as they are added.
Why wrong: Push API requires code changes and may increase costs; also contradicts minimizing changes.
- D
Remove the daily indexer schedule and instead trigger the indexer manually after each new product insertion.
Why wrong: Manual triggering is not automated and doesn't meet near real-time requirement consistently.
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. 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.
Your company uses Azure AI Search to power a customer-facing product catalog search. The search index contains product data from Azure SQL Database. The indexer runs daily. Lately, users complain that new products appear in the catalog with a delay of up to 24 hours. The business requires near real-time indexing (within minutes) for new products. You have the following constraints: - The indexer must continue to run daily for full sync. - You need to minimize changes to the existing architecture. - You cannot use Azure Functions or Logic Apps due to cost. What should you do?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Add a high-water mark change detection policy (e.g., based on a LastModified column) to the indexer data source. Set the indexer to run every 5 minutes.
Option A is correct because it uses a high-water mark change detection policy (e.g., based on a LastModified column) to identify only new or updated records since the last indexer run. By setting the indexer to run every 5 minutes, you achieve near real-time indexing without changing the existing architecture or incurring additional costs from Azure Functions or Logic Apps. The daily full sync continues to run as scheduled, ensuring consistency.
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.
- ✓
Add a high-water mark change detection policy (e.g., based on a LastModified column) to the indexer data source. Set the indexer to run every 5 minutes.
Why this is correct
This enables incremental indexing with minimal changes, achieving near real-time updates.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable change tracking on the Azure SQL Database and configure the indexer to use it.
Why it's wrong here
This is more complex and may require additional database configuration.
- ✗
Modify the application to use the push API to upload new products to the index as they are added.
Why it's wrong here
Push API requires code changes and may increase costs; also contradicts minimizing changes.
- ✗
Remove the daily indexer schedule and instead trigger the indexer manually after each new product insertion.
Why it's wrong here
Manual triggering is not automated and doesn't meet near real-time requirement consistently.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse SQL Server change tracking (a database-level feature) with Azure AI Search's change detection policies, leading them to select Option B without realizing that the indexer requires a specific policy configuration (like high-water mark or integrated change tracking) and that simply enabling change tracking on the database does not automatically integrate with the indexer.
Detailed technical explanation
How to think about this question
A high-water mark policy uses a column (e.g., LastModified) with monotonically increasing values to track changes; the indexer stores the last high-water mark value and retrieves only records with a higher value in subsequent runs. This approach is efficient for incremental indexing because it avoids full table scans and leverages database indexes on the high-water mark column. In practice, you must ensure the column is indexed and updated reliably (e.g., via a trigger or application logic) to avoid missing changes.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
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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: Add a high-water mark change detection policy (e.g., based on a LastModified column) to the indexer data source. Set the indexer to run every 5 minutes. — Option A is correct because it uses a high-water mark change detection policy (e.g., based on a LastModified column) to identify only new or updated records since the last indexer run. By setting the indexer to run every 5 minutes, you achieve near real-time indexing without changing the existing architecture or incurring additional costs from Azure Functions or Logic Apps. The daily full sync continues to run as scheduled, ensuring consistency.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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