Free Microsoft AI-900 Exam Braindumps (page: 5)

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

  1. Implement an Agile software development methodology
  2. Implement a process of AI model validation as part of the software review process
  3. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
  4. Prevent the disclosure of the use of AI-based algorithms for automated decision making

Answer(s): B,C


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



HOTSPOT (Drag and Drop is not supported)
Select the answer that correctly completes the sentence.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual.


Reference:

https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai



DRAG DROP (Drag and Drop is not supported)
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Reliability and safety
Reliability and safety: AI systems should perform reliably and safely.
Box 2: Privacy and security
Privacy and security: AI systems should be secure and respect privacy.
Incorrect:
Inclusiveness: AI systems should empower everyone and engage people. Fairness: AI systems should treat all people fairly.


Reference:

https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai



During the process of Machine Learning, when should you review evaluation metrics?

  1. Before you train a model.
  2. After you clean the data.
  3. Before you choose the type of model.
  4. After you test a model on the validation data.

Answer(s): D



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