The answer is to configure an indexer with a short schedule and change tracking. This approach is correct because Azure AI Search indexers can leverage built-in change detection on Azure Blob Storage, using a high-water mark property to identify new or modified blobs, and then run on a short interval—such as every five minutes—to pull those changes into the index automatically. On the AI-102 exam, this scenario tests your understanding of indexer-based incremental indexing versus pushing updates manually via the SDK, and a common trap is choosing a full re-indexing option, which is inefficient for real-time needs. Remember the memory tip: “Short schedule plus change tracking equals near-real-time indexing without manual pushing.”
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 manage an Azure AI Search solution that indexes documents from Azure Blob Storage. The index must support real-time updates when documents are added or modified. Which approach should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure an indexer with a short schedule and change tracking.
Option B is correct because Azure AI Search indexers can be configured with a short schedule (e.g., every 5 minutes) and change tracking (using high-water mark or integrated change detection on Azure Blob Storage) to automatically index new or modified documents without manual intervention. This provides near-real-time updates while leveraging the indexer's built-in change detection capabilities.
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 push API to manually upload documents.
Why it's wrong here
Push API requires custom code and is not automated.
✓
Configure an indexer with a short schedule and change tracking.
Why this is correct
Indexers can detect changes in Blob Storage and update the index automatically.
Related concept
Read the scenario before looking for a memorised answer.
✗
Manually reset and rerun the indexer after each change.
Why it's wrong here
Manual reset is not real-time.
✗
Add a cognitive skillset to process new documents.
Why it's wrong here
Skillsets enrich content but do not trigger updates.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the push API (Option A) as the only way to achieve real-time updates, overlooking that indexers with change tracking and a short schedule can provide automated near-real-time indexing without custom code.
Detailed technical explanation
How to think about this question
Under the hood, Azure Blob Storage indexers support change tracking via last-modified timestamps (high-water mark) or Azure Blob Storage change feed (preview). When you set a short schedule (e.g., 1 minute), the indexer polls the container, compares timestamps, and only processes blobs that have changed since the last run. This avoids full reindexing and keeps the search index synchronized with minimal latency, though the actual update frequency depends on the schedule interval and indexer execution time.
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.
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: Configure an indexer with a short schedule and change tracking. — Option B is correct because Azure AI Search indexers can be configured with a short schedule (e.g., every 5 minutes) and change tracking (using high-water mark or integrated change detection on Azure Blob Storage) to automatically index new or modified documents without manual intervention. This provides near-real-time updates while leveraging the indexer's built-in change detection capabilities.
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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