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Microsoft AI-900 exam is an excellent way to demonstrate your knowledge and skills in the field of artificial intelligence and machine learning. Microsoft Azure AI Fundamentals certification is useful for professionals who want to pursue a career in AI or machine learning or for those who want to expand their knowledge and skills in this area. Microsoft Azure AI Fundamentals certification is also helpful for individuals who work in the IT industry and want to stay up-to-date with the latest technological advancements.

Microsoft AI-900 Exam is intended for individuals who do not have a technical background in AI but want to learn more about it. AI-900 exam is suitable for developers, data analysts, business analysts, and IT professionals who are interested in understanding AI concepts and how they can be implemented in Azure. Upon successful completion of the exam, candidates will be awarded the Microsoft Azure AI Fundamentals certification, which demonstrates their understanding of AI concepts and how they can be applied in a cloud computing environment.

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The Microsoft AI-900 exam consists of 40-60 multiple-choice questions and has a time limit of 60 minutes. To pass the exam, candidates must achieve a minimum score of 700 out of 1000. AI-900 Exam can be taken online or through a testing center, and the cost of the exam varies by location.

Microsoft Azure AI Fundamentals Sample Questions (Q93-Q98):

NEW QUESTION # 93
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:


NEW QUESTION # 94
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:
Azure Bot Service and Azure Cognitive Services can be integrated. # Yes
* Azure Bot Service engages with customers in a conversational manner. # Yes
* Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets. # Yes
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All three statements are true, as confirmed by the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Explore conversational AI." The Azure Bot Service is Microsoft's platform for building, deploying, and managing intelligent bots that can communicate naturally with users across various channels (web, Teams, Facebook Messenger, etc.).
* Azure Bot Service and Azure Cognitive Services can be integrated # YesMicrosoft Learn specifies that Azure Bot Service can be enhanced with Azure Cognitive Services such as Language Understanding (LUIS), QnA Maker, and Speech Services to add intelligence. For example, integration with LUIS allows bots to understand user intent and context, while QnA Maker helps them respond accurately to FAQs. As stated in the official documentation: "The Azure Bot Service can be combined with Cognitive Services to create bots that understand language, speech, and meaning."
* Azure Bot Service engages with customers in a conversational manner # YesThe primary function of Azure Bot Service is to create conversational AI agents that interact naturally with users. These bots simulate human-like dialogue using text or speech. According to Microsoft Learn, "Bots created using Azure Bot Service communicate with users in a conversational format through natural language."
* Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets # YesAzure Bot Service can integrate with the QnA Maker (now part of Azure Cognitive Service for Language) to automatically import FAQs from existing documents or web pages and generate a knowledge base of question-answer pairs. This allows the bot to respond intelligently to customer queries.
In conclusion, Azure Bot Service supports intelligent, conversational interaction, integrates seamlessly with Cognitive Services, and can use QnA Maker to import and manage FAQ-based knowledge sets-making all three statements true.


NEW QUESTION # 95
Match the tool to the Azure Machine Learning task.
To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all NOTE: Each correct match is worth one point.

Answer:

Explanation:

Explanation


NEW QUESTION # 96
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?

Answer: C

Explanation:
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer
/introduction


NEW QUESTION # 97
You plan to use Azure Cognitive Services to develop a voice controlled personal assistant app.
Match the Azure Cognitive Services to the appropriate tasks.
To answer, drag the appropriate service from the column on the left to its description on the right Each service may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 98
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