- (Exam Topic 2)
You have an existing Azure Cognitive Search service.
You have an Azure Blob storage account that contains millions of scanned documents stored as images and PDFs.
You need to make the scanned documents available to search as quickly as possible. What should you do?

1. A. Split the data into multiple blob container
2. B. Create a Cognitive Search service for each containe
3. C. Within each indexer definition, schedule the same runtime execution pattern.
4. D. Split the data into multiple blob container
5. E. Create an indexer for each containe
6. F. Increase the search unit
7. G. Within each indexer definition, schedule a sequential execution pattern.
8. H. Create a Cognitive Search service for each type of document.
9. I. Split the data into multiple virtual folder
10. J. Create an indexer for each folde
11. K. Increase the search units.Within each indexer definition, schedule the same runtime execution pattern.

Correct Answer: D

Reference:
https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage

- (Exam Topic 2)
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.

Solution:
Graphical user interface, text, application Description automatically generated
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-add-media-attachments?view=azure-bot-s

Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A

- (Exam Topic 2)
You are building a language model by using a Language Understanding service. You create a new Language Understanding resource.
You need to add more contributors. What should you use?

1. A. a conditional access policy in Azure Active Directory (Azure AD)
2. B. the Access control (1AM) page for the authoring resources in the Azure portal
3. C. the Access control (1AM) page for the prediction resources in the Azure portal

Correct Answer: B
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-collaborate

- (Exam Topic 2)
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Solution:
Box 1: No
Example: Greet a user whose name is stored in `user.name`
- ${ welcomeUser(user.name) }
Example: Greet a user whose name you don't know:
- ${ welcomeUser() }
Box 2: No
Greet(User) is a Send a response action.
Box 3: Yes
Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input

Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A

- (Exam Topic 2)
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.

1. A. Linked entities from a well-known knowledge base
2. B. Sentiment Analysis
3. C. Key Phrases
4. D. Detect Language
5. E. Named Entity Recognition

Correct Answer: BD
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/text-analytics-how-tosentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection