AI-102 Exam Questions

Total 255 Questions

Last Updated Exam : 16-Dec-2024

Topic 3: Misc. Questions

You are building a multilingual chatbot.
You need to send a different answer for positive and negative messages.
Which two Text Analytics APIs should you use? Each correct answer presents part of the
solution. (Choose two.)
NOTE: Each correct selection is worth one point.


A.

Linked entities from a well-known knowledge base


B.

Sentiment Analysis


C.

Key Phrases


D.

Detect Language


E.

Named Entity Recognition





B.
  

Sentiment Analysis



D.
  

Detect Language



Explanation:
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting
positive and negative sentiment. If you send a Sentiment Analysis request, the API will
return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores
at the sentence and document-level.
D: The Language Detection feature of the Azure Text Analytics REST API evaluates text
input for each document and returns language identifiers with a score that indicates the
strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is
unknown. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/textanalytics-
how-to- sentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/textanalytics-
how-to- language-detection

Match the Azure Cosmos DB APIs to the appropriate data structures.
To answer, drag the appropriate API from the column on the left to its data structure on the
right. Each API may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.






You are building an app that will enable users to upload images. The solution must meet
the following requirements:
• Automatically suggest alt text for the images.
• Detect inappropriate images and block them.
• Minimize development effort.
You need to recommend a computer vision endpoint for each requirement.
What should you recommend? To answer, select the appropriate options in the answer
area.
NOTE: Each correct selection is worth one point.






You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to
[email@domain.com]
You need to select the entity types. The solution must use built-in entity types to minimize
training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity
types to the correct labels. Each entity type may be used once, more than once, or not at
all.
You may need to drag the split bar between panes or scroll to view content.






Box 1: GeographyV2
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you
do not need to add example utterances containing GeographyV2 to the application intents.
Box 2: Email
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from
an utterance. Because this entity is already trained, you do not need to add example
utterances containing email to the application intents.
Box 3: Machine learned
The machine-learning entity is the preferred entity for building LUIS applications.

You develop a custom question answering project in Azure Cognitive Service for
Language. The project will be used by a chatbot. You need to configure the project to
engage in multi-turn conversations. What should you do?


A.

Add follow-up prompts


B.

Enable active learning.


C.

Add alternate questions


D.

Enable chit-chat





D.
  

Enable chit-chat



You plan to build a chatbot to support task tracking.
You create a Language Understanding service named lu1.
You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build the model.
Which four actions should you perform in sequence? To answer, move the appropriate
actions from the list of actions to the answer area and arrange them in the correct order.
(Choose four.)






Explanation:
1. Add a new application
2. Add a prebuilt domain intent ToDo (it has already utterances so we can skip this step)
3. Train
4. Publish

You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? To answer, select the appropriate options in the
answer area.
NOTE: Each correct selection is worth one point.






Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the
right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.






 

What is used to define a query in a stream processing jobs in Azure Stream Analytics?


A.

SQL


B.

XML


C.

YAML


D.

KOL





A.
  

SQL



You have a Language Understanding resource named lu1.
You build and deploy an Azure bot named bot1 that uses lu1.
You need to ensure that bot1 adheres to the Microsoft responsible AI principle of
inclusiveness.
How should you extend bot1?


A.

Implement authentication for bot1


B.

Enable active learning for Iu1


C.

Host Iu1 in a container


D.

Add Direct Line Speech to bot1.





D.
  

Add Direct Line Speech to bot1.



Explanation:
Inclusiveness: AI systems should empower everyone and engage people.
Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice
assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is
optimized for voice-in, voice-out interaction with bots.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech


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