The answer is that the data source’s connection string is not properly stored or the data source is not configured with the correct credentials. This is the most likely issue because the Azure CLI command shown references the data source by name rather than including an inline --connection-string parameter, meaning the indexer relies entirely on the connection string already saved in the data source definition. If that stored string is invalid, expired, or lacks required permissions—even if you believe the string is correct—the indexer will fail with a connection error. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of how Azure AI Search separates data source configuration from indexer creation, a common trap where candidates focus on the indexer syntax instead of verifying the underlying data source credentials. Remember the memory tip: “Check the source, not the indexer—connection strings live in the data source, not the command.”
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 executed the Azure CLI command shown to create an indexer. However, the indexer fails to run. The error indicates that the data source connection string is invalid. You have verified that the connection string is correct. What is the most likely issue?
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 data source's connection string is not properly stored or the data source is not configured with the correct credentials
Option D is correct because the Azure CLI command uses single quotes around the parameters JSON, which is correct in Bash, but in PowerShell or other shells, it may cause issues. However, the most common issue is that the command is missing the '--connection-string' parameter or the data source itself has an incorrect connection string. But given the exhibit, the command does not include a '--connection-string' parameter; the data source is referenced by name. The problem might be that the data source was created with a connection string that is not valid. Option A is wrong because the parsingMode is valid. Option B is wrong because the skillset name is not causing the error. Option C is wrong because the query parameter is not the issue.
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 --query parameter is incorrectly formatted
Why it's wrong here
The query is optional and not causing the error.
✗
The skillset name does not exist in the search service
Why it's wrong here
Would cause a different error.
✗
The parsingMode should be 'json' for PDF files
Why it's wrong here
Default is fine for PDFs.
✓
The data source's connection string is not properly stored or the data source is not configured with the correct credentials
Why this is correct
The error indicates invalid connection string; the data source definition likely has a wrong or expired key.
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.
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 data source's connection string is not properly stored or the data source is not configured with the correct credentials — Option D is correct because the Azure CLI command uses single quotes around the parameters JSON, which is correct in Bash, but in PowerShell or other shells, it may cause issues. However, the most common issue is that the command is missing the '--connection-string' parameter or the data source itself has an incorrect connection string. But given the exhibit, the command does not include a '--connection-string' parameter; the data source is referenced by name. The problem might be that the data source was created with a connection string that is not valid. Option A is wrong because the parsingMode is valid. Option B is wrong because the skillset name is not causing the error. Option C is wrong because the query parameter is not the issue.
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 →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Your team has built a knowledge mining pipeline using Azure AI Search and Document Intelligence. After ingestion, you notice that some documents are not appearing in search results. What is the most likely cause?
easy
✓ A.The indexer encountered errors and marked the documents as failed
B.The index does not have a semantic configuration
C.The search service has insufficient replicas
D.The search service is throttled due to high query volume
Why A: Option B is correct because if the indexer fails, documents are not indexed. Option A is wrong because throttling would affect all documents, not a subset. Option C is wrong because the search service would report failures for other reasons. Option D is wrong because missing semantic configuration affects ranking, not indexing.
Last reviewed: Jun 20, 2026
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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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