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The Microsoft Azure AI Fundamentals certification exam consists of 40-60 multiple choice questions that candidates must complete within 85 minutes. AI-900 exam can be taken in-person at a testing center or online from the comfort of your own home. To prepare for the exam, Microsoft offers a range of study materials, including online training courses, practice exams, and study guides. Additionally, candidates can also find third-party study materials and practice exams online.

The Microsoft AI-900 Exam is intended for candidates who have a basic understanding of cloud computing principles and some experience with Azure services. However, it is not a prerequisite for taking the exam. AI-900 exam is designed for individuals who want to learn about AI and its applications in Azure, even if they do not have any prior experience in AI or Azure services.

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Exam AI-900 tests your professional talent and expertise. This is the reason that passing this Microsoft Certified: Azure AI Fundamentals certification exam has been a tough challenge for professionals. But it is made easy now to ace it! The recently developed Dumpexams's AI-900 Exam Questions dumps aim at to deliver you the shortest possible route to obtaining AI-900 without any chance of losing the exam.

Microsoft AI-900, also known as the Microsoft Azure AI Fundamentals certification exam, is designed for individuals who want to learn about the fundamental concepts of Artificial Intelligence (AI) and how they can be implemented on Microsoft's Azure platform. Microsoft Azure AI Fundamentals certification is an excellent starting point for those who are new to AI and want to understand the basics of AI and its uses in real-world scenarios.

Microsoft Azure AI Fundamentals Sample Questions (Q28-Q33):

NEW QUESTION # 28
You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: B,C

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/3-implications-responsible-ai-practical


NEW QUESTION # 29
You plan to deploy an Azure Machine Learning model by using the Machine Learning designer Which four 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:

1 - Ingest and prepare a dataset.
2 - Split the data randomly in training data and validation data.
3 - Train the model.
4 - Evaluate the model against the validation dataset.


NEW QUESTION # 30
Which machine learning technique can be used for anomaly detection?

Answer: A


NEW QUESTION # 31
Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

Answer: C

Explanation:
Section: Describe fundamental principles of machine learning on Azure
Explanation:
Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning- initialize-model-clustering


NEW QUESTION # 32
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:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/overview


NEW QUESTION # 33
......

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