The correct answer is that the response will contain the top intent 'CancelOrder' and the entity 'OrderNumber' with value '12345'. This is because the Azure AI Language API for conversational language understanding (CLU) returns a structured JSON response where the top scoring intent is listed under the 'intents' object and any extracted entities appear under the 'entities' object, each with their recognized value and type. On the AI-102 exam, this tests your ability to interpret the CLU API response structure, specifically how the model outputs both intent classification and entity extraction in a single call. A common trap is assuming that if an entity is not recognized, the intent will also fail, but CLU processes them independently—the intent can be high confidence even if an entity is missing. Remember the memory tip: "Intent first, entities follow" to recall that the top intent is always listed at the top of the response, while entities are nested separately with their extracted values.
AI-102 Practice Question: Implement natural language processing solutions
This AI-102 practice question tests your understanding of implement natural language processing solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Exhibit
{
"kind": "ConversationalLanguageUnderstanding",
"parameters": {
"projectName": "SupportBot",
"deploymentName": "production",
"verbose": true
},
"analysisInput": {
"conversationItem": {
"id": "1",
"participantId": "user",
"text": "I want to cancel my order #12345"
}
}
}
Refer to the exhibit. You are calling the Azure AI Language API for conversational language understanding (CLU). The CLU project 'SupportBot' has an intent 'CancelOrder' with an entity 'OrderNumber' of type 'Number'. The deployment 'production' is active. What is the expected output?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The response will contain the top intent 'CancelOrder' and the entity 'OrderNumber' with value '12345'.
Option D is correct because the CLU model will predict the 'CancelOrder' intent and extract the entity 'OrderNumber' with value '12345'. Option A is wrong because the intent is indeed recognized. Option B is wrong because the entity is extracted. Option C is wrong because the entity is correctly extracted as a number.
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 response will contain an error because the deployment is not active.
Why it's wrong here
The deployment is specified as active.
✗
The response will contain the entity 'OrderNumber' with value '#12345' because the hash is part of the entity.
Why it's wrong here
The entity is of type Number, so it will extract '12345' without the hash.
✗
The response will contain only the top intent, but no entities because the entity type is not recognized.
Why it's wrong here
The entity is recognized.
✓
The response will contain the top intent 'CancelOrder' and the entity 'OrderNumber' with value '12345'.
Why this is correct
The model correctly identifies intent and entity.
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 natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The response will contain the top intent 'CancelOrder' and the entity 'OrderNumber' with value '12345'. — Option D is correct because the CLU model will predict the 'CancelOrder' intent and extract the entity 'OrderNumber' with value '12345'. Option A is wrong because the intent is indeed recognized. Option B is wrong because the entity is extracted. Option C is wrong because the entity is correctly extracted as a number.
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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