The answer is incorrect OData syntax in the filter expression. For an Azure AI Search filter to work, the field must be marked as filterable in the index definition, and the OData syntax must be correctly formed—for example, using `eq` for exact string matches and wrapping string values in single quotes. In this scenario, the author field is already set to filterable: true, so the most likely cause is a syntax error in the filter itself, such as missing quotes or using the wrong operator. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your understanding of how OData filter expressions interact with index attributes; a common trap is assuming a field’s filterable property is the only culprit when the real issue is malformed syntax. Remember, OData filters are case-sensitive and require proper quoting—think “quotes for strings, no quotes for numbers” to avoid syntax errors.
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. 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.
Network Topology
You have an Azure AI Search index defined as shown in the exhibit. Users want to filter search results by author and by a date range, and also see a count of documents per tag. However, the filter on author is not working. What is the most likely reason?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The filter expression uses incorrect OData syntax.
For filtering to work, the field must be 'filterable'. In the exhibit, 'author' is set to 'filterable': true. However, if the filter syntax is incorrect (e.g., using 'eq' instead of 'eq' for strings), it would fail. But the most common issue is that the author field is not marked as filterable. Wait, in the exhibit it is 'filterable': true. So another cause: The index might not have been rebuilt after adding filterable. But the exhibit shows the current index definition. Actually, the issue could be that the filter is using an incorrect OData syntax. Option B is wrong because sortable is not required for filtering. Option C is wrong because tags are facetable but not involved. Option D is wrong because the key field is not used for filtering.
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.
✓
The filter expression uses incorrect OData syntax.
Why this is correct
For example, using 'author eq 'John'' instead of 'author eq 'John'' (correct). Users might misuse quotes.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The 'id' field is not used as the key.
Why it's wrong here
The key field is not related to filtering.
✗
The 'author' field is not set as filterable in the index definition.
Why it's wrong here
It is set to filterable: true in the exhibit.
✗
The query uses a $orderby parameter that conflicts with the filter.
Why it's wrong here
Orderby does not affect filtering.
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: The filter expression uses incorrect OData syntax. — For filtering to work, the field must be 'filterable'. In the exhibit, 'author' is set to 'filterable': true. However, if the filter syntax is incorrect (e.g., using 'eq' instead of 'eq' for strings), it would fail. But the most common issue is that the author field is not marked as filterable. Wait, in the exhibit it is 'filterable': true. So another cause: The index might not have been rebuilt after adding filterable. But the exhibit shows the current index definition. Actually, the issue could be that the filter is using an incorrect OData syntax. Option B is wrong because sortable is not required for filtering. Option C is wrong because tags are facetable but not involved. Option D is wrong because the key field is not used for filtering.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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 →
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.
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.