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Microsoft AI-900: Microsoft Azure AI Fundamentals Exam is a certification exam that is designed to test the knowledge of individuals on the fundamental concepts of Artificial Intelligence (AI) and its application in the Microsoft Azure cloud platform. AI-900 Exam is intended for individuals who are interested in gaining knowledge and skills in AI and machine learning, and how it can be applied to solve real-world business challenges.

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The Microsoft Azure AI Fundamentals certification exam consists of 40-60 questions, which must be completed within 60 minutes. The questions are presented in multiple-choice format and may include drag-and-drop, scenario-based, or knowledge-based questions. AI-900 Exam can be taken online or in-person at a certified testing center, and candidates must pay a fee to register for the exam.

Microsoft Azure AI Fundamentals Sample Questions (Q167-Q172):

NEW QUESTION # 167
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.

Answer: B,D

Explanation:
A: The trained model is stored as a Dataset module in the module palette. You can find it under My Datasets.
Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning models.
D: You can consume a published pipeline in the Published pipelines page. Select a published pipeline and find the REST endpoint of it.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-run-batch-predictions-designer
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer


NEW QUESTION # 168
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?

Answer: D

Explanation:
Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai


NEW QUESTION # 169
Select the answer that correctly completes the sentence

Answer:

Explanation:


NEW QUESTION # 170
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/machine-learning/studio-module-reference/anomaly-detection


NEW QUESTION # 171
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:


NEW QUESTION # 172
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