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To prepare for the Microsoft AI-102 certification exam, candidates should have a strong understanding of Azure services and technologies, as well as experience in developing AI solutions using Azure Cognitive Services, Azure Machine Learning, and other Azure AI services. They should also be familiar with data science workflows, machine learning algorithms, and deep learning techniques. Candidates can also benefit from taking Microsoft's AI-102 training course, which covers all the topics and skills required to pass the certification exam.

Microsoft AI-102 is an exam that is designed for IT professionals who are interested in Microsoft Azure and artificial intelligence technologies. The purpose of AI-102 exam is to test the candidate's knowledge and skills in designing and implementing an AI solution using Microsoft Azure technologies. AI-102 exam is a part of the Microsoft Certified: Azure AI Engineer Associate certification.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q292-Q297):

NEW QUESTION # 292
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview

NEW QUESTION # 293
You are developing a text processing solution.
You develop the following method.

You call the method by using the following code.
GetKeyPhrases(textAnalyticsClient, "the cat sat on the mat");
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:

Code Recapstatic void GetKeyPhrases(TextAnalyticsClient textAnalyticsClient, string text)
{
var response = textAnalyticsClient.ExtractKeyPhrases(text);
Console.WriteLine("Key phrases:");
foreach (string keyphrase in response.Value)
{
Console.WriteLine($" {keyphrase}");
}
}
Then called with:
GetKeyPhrases(textAnalyticsClient, "the cat sat on the mat");
* "The call will output key phrases from the input string to the console."
* Yes.
* The method calls ExtractKeyPhrases, iterates over response.Value, and writes each key phrase to the console.
* "The output will contain the following words: the, cat, sat, on, and mat."
* No.
* The Text Analytics key phrase extraction returns meaningful phrases, not stop words or every word.
* Likely result: "cat", "mat", maybe "sat" depending on language model. But not "the", "on".
* "The output will contain the confidence level for key phrases."
* No.
* The ExtractKeyPhrases method in Text Analytics API returns only key phrases as strings, not confidence scores.
Statement Analysis
* The call will output key phrases from the input string to the console # Yes
* The output will contain the following words: the, cat, sat, on, and mat # No
* The output will contain the confidence level for key phrases # No
Final Answer
* Azure Text Analytics - Key Phrase Extraction
* TextAnalyticsClient.ExtractKeyPhrases
Microsoft References

NEW QUESTION # 294
You are building a chatbot for a Microsoft Teams channel by using the Microsoft Bot Framework SDK. The chatbot will use the following code.

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: Yes
The ActivityHandler.OnMembersAddedAsync method overrides this in a derived class to provide logic for when members other than the bot join the conversation, such as your bot's welcome logic.
Box 2: Yes
membersAdded is a list of all the members added to the conversation, as described by the conversation update activity.
Box 3: No
Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.bot.builder.activityhandler.onmembersaddedasync?
view=botbuilder-dotnet-stable

NEW QUESTION # 295
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/

NEW QUESTION # 296
You have a Language service resource that performs the following:
- Sentiment analysis
- Named Entity Recognition (NER)
- Personally Identifiable Information (PII) identification
You need to prevent the resource from persisting input data once the data is analyzed.
Which query parameter in the Language service API should you configure?

A. model-version
B. piiCategories
C. showStats
D. loggingOptOut

Answer: D

Explanation:
The LoggingOptOut parameter is true by default for the PII and health feature endpoints.
Reference https://learn.microsoft.com/en-us/legal/cognitive-services/language-service/data- privacy

NEW QUESTION # 297
......

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