QUESTION: 21

DRAG DROP (Drag and Drop is not supported)
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines

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QUESTION: 22

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.

Implement an Agile software development methodology
Implement a process of AI model validation as part of the software review process
Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
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

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QUESTION: 23

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

See Explanation section for answer.

Answer(s): A

Explanation:

Reference:

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

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QUESTION: 24

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

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

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QUESTION: 21

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QUESTION: 23

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QUESTION: 24

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