The correct answer is that you need both a suggester configured on the index and the autocomplete API endpoint called from your application. The suggester defines which fields are used to generate suggestion candidates, while the autocomplete API processes partial user input against those fields to return predicted terms. On the AI-102 exam, this question tests your understanding that autocomplete is a two-part mechanism: index-side configuration and client-side API invocation. A common trap is confusing analyzers or scoring profiles with the suggester—analyzers handle tokenization but do not enable autocomplete, and scoring profiles only affect result ranking, not suggestion generation. Remember that CORS is irrelevant here, as autocomplete works within the same service context. For a quick memory tip, think "Suggester + API = Autocomplete," where the suggester prepares the fields and the API delivers the predictions.
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. 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 building an Azure AI Search index that includes content from a SQL database and an Azure Cosmos DB collection. The index must support autocomplete suggestions as users type. Which TWO configurations are required to enable autocomplete?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Define a suggester in the index definition.
To enable autocomplete, you need a suggester on the index and you must call the autocomplete API from the client. Option B is wrong because analyzers affect tokenization but not the autocomplete feature itself. Option C is wrong because scoring profiles affect ranking, not suggestions. Option E is wrong because CORS is not required for autocomplete.
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.
✗
Enable CORS on the search service.
Why it's wrong here
CORS is not needed for autocomplete.
✓
Define a suggester in the index definition.
Why this is correct
A suggester is required for autocomplete and suggestions.
Related concept
Read the scenario before looking for a memorised answer.
✗
Configure a custom analyzer for the fields used in autocomplete.
Why it's wrong here
Not required; suggester uses the default analyzer.
✗
Create a scoring profile to boost relevant suggestions.
Why it's wrong here
Scoring profiles affect ranking, not autocomplete.
✓
Use the autocomplete API endpoint in the application.
Why this is correct
The autocomplete API returns suggestions.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Define a suggester in the index definition. — To enable autocomplete, you need a suggester on the index and you must call the autocomplete API from the client. Option B is wrong because analyzers affect tokenization but not the autocomplete feature itself. Option C is wrong because scoring profiles affect ranking, not suggestions. Option E is wrong because CORS is not required for autocomplete.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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