AI-900 EXAM QUIZZES, AI-900 ONLINE TRAINING

AI-900 Exam Quizzes, AI-900 Online Training

AI-900 Exam Quizzes, AI-900 Online Training

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Microsoft AI-900, also known as Microsoft Azure AI Fundamentals, is an entry-level certification exam for individuals who are interested in working with artificial intelligence (AI) and machine learning (ML) technologies. Microsoft Azure AI Fundamentals certification is designed to provide a foundational understanding of AI and its capabilities, and how it can be leveraged to solve business problems. AI-900 exam covers a range of topics including AI workloads, fundamental principles of machine learning, and computer vision.

Microsoft AI-900 certification exam is an excellent starting point for individuals who are interested in pursuing a career in AI or who want to demonstrate their expertise in the field. It covers a wide range of topics related to AI and the Azure platform and provides a valuable credential that can help individuals stand out in the job market.

Microsoft AI-900 Certification Exam is a great way to demonstrate your understanding of AI and ML technologies to potential employers. Achieving this certification shows that you have a foundational knowledge of AI and can apply it to solve business problems, which is a highly sought-after skill in today's job market. Additionally, this certification can serve as a stepping stone to more advanced certifications and training programs in AI and ML.

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

NEW QUESTION # 28
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance Finding TP is easy. It basically means the value where Predicted and True value is 1 and that is 11 in this case.
False Negative means where true value was 1 but predicted value was 0 and that is 1033 in this case The confusion matrix shows cases where both the predicted and actual values were 1 (known as true positives) at the top left, and cases where both the predicted and the actual values were 0 (true negatives) at the bottom right. The other cells show cases where the predicted and actual values differ (false positives and false negatives).
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/evaluate-model


NEW QUESTION # 29
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. the authentication key
  • B. the training endpoint
  • C. the model name
  • D. the REST endpoint

Answer: A,D

Explanation:
Explanation
https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy


NEW QUESTION # 30
You need to reduce the load on telephone operators by implementing a Chabot to answer simple questions with predefined answers.
Which two Al services should you use to achieve the goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Language Service
  • B. Azure 8ol Service
  • C. Azure Machine Learning
  • D. Translator

Answer: A,B


NEW QUESTION # 31
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:


NEW QUESTION # 32
You need to provide customers with the ability to query the status of orders by using phones, social media, or digital assistants.
What should you use?

  • A. an Azure Al Document Intelligence model
  • B. Azure Al Bot Service
  • C. the Azure Al Translator service
  • D. an Azure Machine Learning model

Answer: D


NEW QUESTION # 33
......

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