- A
An Azure Bot Service bot with the CLU model as a skill.
The bot interacts with users and uses the CLU model.
- B
A CLU project and a trained model.
Provides intent and entity recognition.
- C
A QnA Maker resource for FAQs.
Why wrong: Not required; CLU can handle FAQs.
- D
A Translator resource for multilingual support.
Why wrong: Not required; CLU can handle multiple languages.
- E
A Microsoft Entra ID app registration for the bot.
Required for authentication in channels like Teams.
Question 485 of 993
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.
Which THREE components are required to deploy a bot using Azure AI Language's conversational language understanding (CLU) and Azure Bot Service?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
An Azure Bot Service bot with the CLU model as a skill.
Option A is correct because Azure Bot Service can integrate a CLU model as a skill, enabling the bot to route user intents to the CLU service for natural language understanding. This is done by configuring the bot's skill endpoint to point to the CLU project's prediction URL, allowing the bot to leverage the trained model for intent classification and entity extraction.
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.
- ✓
An Azure Bot Service bot with the CLU model as a skill.
Why this is correct
The bot interacts with users and uses the CLU model.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
A CLU project and a trained model.
Why this is correct
Provides intent and entity recognition.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
A QnA Maker resource for FAQs.
Why it's wrong here
Not required; CLU can handle FAQs.
- ✗
A Translator resource for multilingual support.
Why it's wrong here
Not required; CLU can handle multiple languages.
- ✓
A Microsoft Entra ID app registration for the bot.
Why this is correct
Required for authentication in channels like Teams.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume QnA Maker or Translator are mandatory for a CLU-based bot, but CLU itself provides intent recognition and can be extended with other services only as needed, not as prerequisites.
Detailed technical explanation
How to think about this question
Under the hood, the CLU model is deployed as a REST endpoint that the Azure Bot Service calls via the Bot Framework's Skill protocol, using the `Microsoft.Bot.Builder.AI.Language` package to send user utterances and receive intents/entities. The Microsoft Entra ID app registration (Option E) is required to authenticate the bot's communication with the CLU endpoint and other Azure resources, ensuring secure token-based access via OAuth 2.0.
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 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.
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FAQ
Questions learners often ask
What does this AI-102 question test?
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: An Azure Bot Service bot with the CLU model as a skill. — Option A is correct because Azure Bot Service can integrate a CLU model as a skill, enabling the bot to route user intents to the CLU service for natural language understanding. This is done by configuring the bot's skill endpoint to point to the CLU project's prediction URL, allowing the bot to leverage the trained model for intent classification and entity extraction.
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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Last reviewed: Jul 4, 2026
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