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Microsoft AI-102 is a certification exam that is designed to test the skills and knowledge of candidates in designing and implementing solutions that use Microsoft Azure AI. Designing and Implementing a Microsoft Azure AI Solution certification exam is intended for professionals who have a strong understanding of Microsoft Azure and its services, as well as experience in the design and deployment of AI solutions. AI-102 Exam is designed to assess a candidate's ability to use Azure AI services to solve business problems and create intelligent applications.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q159-Q164):

NEW QUESTION # 159
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 create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure AI Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a public endpoint, and you configure an IP firewall rule.
Does this meet the goal?

A. No
B. Yes

Answer: A

Explanation:
Instead deploy service1 and a private (not public) endpoint to a new virtual network, and you configure Azure Private Link.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/private-link-overview

NEW QUESTION # 160
You are building an app that will scan confidential documents and use the Language service to analyze the contents.
You provision an Azure Cognitive Services resource.
You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises.
Which three 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.

Answer:

Explanation:

Explanation

NEW QUESTION # 161
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 162
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.

Answer:

Explanation:

Explanation

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

NEW QUESTION # 163
You are developing the smart e-commerce project.
You need to implement autocompletion as part of the Cognitive Search solution.
Which three actions should you perform? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.

A. Add a suggester for each of the three product name fields.
B. Set the searchAnalyzer property for the three product name variants.
C. Set the analyzer property for the three product name variants.
D. Add a suggester that has the three product name fields as source fields.
E. Make API queries to the search endpoint and include the product name fields in the searchFields query parameter.
F. Make API queries to the autocomplete endpoint and include suggesterName in the body.
G. Use the default standard Lucene analyzer ("analyzer": null) or a language analyzer (for example, "analyzer": "en.Microsoft") on the field.

Answer: C,D,F

Explanation:
Scenario: Support autocompletion and autosuggestion based on all product name variants.
A: Call a suggester-enabled query, in the form of a Suggestion request or Autocomplete request, using an API. API usage is illustrated in the following call to the Autocomplete REST API.
POST /indexes/myxboxgames/docs/autocomplete?search&api-version=2020-06-30
{
"search": "minecraf",
"suggesterName": "sg"
}
B: In Azure Cognitive Search, typeahead or "search-as-you-type" is enabled through a suggester. A suggester provides a list of fields that undergo additional tokenization, generating prefix sequences to support matches on partial terms. For example, a suggester that includes a City field with a value for "Seattle" will have prefix combinations of "sea", "seat", "seatt", and "seattl" to support typeahead.
Reference:
https://docs.microsoft.com/en-us/azure/search/index-add-suggesters

NEW QUESTION # 164
......

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