QUESTION: 45

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:

Box: numeric
When building a K-means clustering model, all features must have a data type of . K-means is one of the simplest and the best known unsupervised learning algorithms.
Select the Normalize features option if you want to normalize features before training.
If you apply normalization, before training, the data points are normalized to [0,1] by MinMaxNormalizer.

Reference:

https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/k-means-clustering

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QUESTION: 46

You are building an AI-based loan approval app.
You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant.
This is an example of which Microsoft responsible AI principle?

transparency
inclusiveness
fairness
accountability

Answer(s): A

Explanation:

Transparency: AI systems should be transparent and understandable. AI systems might help inform decisions that have great impact on people's lives, so it's important that people understand how these decisions are made.

Reference:

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

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QUESTION: 47

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:

Box: fairness
Fairness: AI systems should treat all people fairly. The same recommendations should be made to everyone. Fairness is important to ensure that AI systems don't discriminate against people based on their personal characteristics.
Note: Design your bot so that it respects relevant cultural norms and guards against misuse.
Since bots may have human-like personas, it is especially important that they interact respectfully and safely with users and have built-in safeguards and protocols to handle misuse and abuse.
Limit the surface area for norms violations where possible.
* Where appropriate, point to a relevant “code of conduct” for users.
*-> Apply machine learning techniques and keyword filtering mechanisms to enable your bot to detect and — critically — respond appropriately to sensitive or offensive input from users.

Reference:

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai https://www.microsoft.com/en-us/research/uploads/prod/2018/11/Bot_Guidelines_Nov_2018.pdf

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QUESTION: 48

DRAG DROP (Drag and Drop is not supported)
Match the AI workload to the appropriate task.
To answer, drag the appropriate AI workload from the column on the left to its task on the right. Each workload may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Azure AI Document Intelligence - Extract data from medical admission forms for import into a patient tracking database.
Azure AI Document Intelligence specializes in extracting structured information from documents, such as forms, invoices, or medical records.
Generative AI - Analyze aerial photos to identify flooded areas.
Computer vision is used to analyze and interpret images or videos, making it suitable for identifying features like flooded areas in aerial photos.
Computer Vision - Analyze aerial photos to identify flooded areas.
Computer vision is used to analyze and interpret images or videos, making it suitable for identifying features like flooded areas in aerial photos.

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QUESTION: 45

Explanation:

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QUESTION: 46

Explanation:

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QUESTION: 47

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QUESTION: 48

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