AI-102 Exam Questions

Total 255 Questions

Last Updated Exam : 16-Dec-2024

Topic 3: Misc. Questions

You have a collection of 50,000 scanned documents that contain text.
You plan to make the text available through Azure Cognitive Search.
You need to configure an enrichment pipeline to perform optical character recognition
(OCR) and text analytics. The solution must minimize costs.
What should you attach to the skillset?


A.

a new Computer Vision resource


B.

a free (Limited enrichments) Cognitive Services resource


C.

an Azure Machine Learning pipeline


D.

a new Cognitive Services resource that uses the SO pricing tier





A.
  

a new Computer Vision resource



Explanation:
The Computer Vision API uses text recognition APIs to extract and recognize text
information from images. Read uses the latest recognition models, and is optimized for
large, text-heavy documents and noisy images.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/cognitivesearch-
with-skillsets

Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.






You are building a chatbot by using the Microsoft Bot Framework Composer. You have the
dialog design shown in the following exhibit.






You need to create a visualization of running sales totals per quarter as shown in the following exhibit.

What should you create in Cower Bl Desktop;1


A.

a waterfall chart


B.

a ribbon chart


C.

a bar chart


D.

a decomposition tree





C.
  

a bar chart



You need to recommend a non-relational data store that is optimized for storing and
retrieving text files, videos, audio streams, and virtual disk images. The data store must
store data, some metadata, and a unique ID for each file. Which type of data store should
you recommend?


A.

columnar


B.

key/value


C.

document


D.

object





D.
  

object



Note: This question is part of a series of questions that present the same scenario. Each
question in the series contains a unique solution that might meet the stated goals. Some
question sets might have more than one correct solution, while others might not have a
correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result,
these questions will not appear in the review screen.
You build a language model by using a Language Understanding service. The language
model is used to search for information on a contact list by using an intent named
FindContact.
A conversational expert provides you with the following list of phrases to use for training.
Find contacts in London.
Who do I know in Seattle? Search for contacts in Ukraine.
You need to implement the phrase list in Language Understanding.
Solution: You create a new entity for the domain.
Does this meet the goal?


A.

Yes


B.

No





B.
  

No



Explanation:
Instead use a new intent for location.
Note: An intent represents a task or action the user wants to perform. It is a purpose or
goal expressed in a user's utterance.
Define a set of intents that corresponds to actions users want to take in your application.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent

You are training a Language Understanding model for a user support system.
You create the first intent named GetContactDetails and add 200 examples.
You need to decrease the likelihood of a false positive.
What should you do?


A.

Enable active learning.


B.

Add a machine learned entity.


C.

Add additional examples to the GetContactDetails intent.


D.

Add examples to the None intent.





A.
  

Enable active learning.



Explanation:
Active learning is a technique of machine learning in which the machine learned model is
used to identify informative new examples to label. In LUIS, active learning refers to adding
utterances from the endpoint traffic whose current predictions are unclear to improve your
model.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-glossary

You need to develop an automated call handling system that can respond to callers in their
own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To
answer, drag the appropriate services to the correct requirements. Each service may be
used once, more than once, or not at all. You may need to drag the split bat between
panes or scroll to view content.
NOTE: Each correct selection is worth one point.






You are building a Conversational Language Understanding model.
You need to ensure that the model will support the following sample utterances:
• Set all the lights to on.
• Turn off the lights in the living room.
• What is the current thermostat temperature?
• Lower the temperature of the thermostat by five degrees.
Which three elements should you add to the model?
Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.


A.

a location Intent


B.

a change setting entity


C.

a device intent


D.

a change setting intent


E.

a query setting intent


F.

a device entity





B.
  

a change setting entity



C.
  

a device intent



F.
  

a device entity



Note: This question is part of a series of questions that present the same scenario. Each
question in the series contains a unique solution that might meet the stated goals. Some
question sets might have more than one correct solution, while others might not have a
correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result,
these questions will not appear in the review screen.
You develop an application to identify species of flowers by training a Custom Vision
model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images and labels to the existing model. You retrain the model,
and then publish the model.
Does this meet the goal?


A.

Yes


B.

No





A.
  

Yes



Explanation:
The model needs to be extended and retrained.


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