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Exam AI-900 topic 1 question 19 discussion

Actual exam question from Microsoft's AI-900
Question #: 19
Topic #: 1
[All AI-900 Questions]

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

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Suggested Answer:
Box 1: Yes -
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.

Box 2: No -
A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy.

Box 3: No -
Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

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Rezaphp
Highly Voted 2 years, 8 months ago
I can argue the answer to the 3rd question is "yes" as well. By having different pricing, Microsoft can make its services more accessible or affordable to all types of users, like poor/developed countries
upvoted 32 times
jaci
2 years, 8 months ago
Agree, MS currently provides different cert exam fees for some areas, to help to get them.
upvoted 7 times
sayurur
4 months ago
appeared on exam 2024-05
upvoted 5 times
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sdokmak
2 years, 6 months ago
Yea but country isn't mentioned here. If it was then definitely agree.
upvoted 6 times
sdokmak
2 years, 6 months ago
Would need to specify "poor" or "developed" countries for me to consider it as well.
upvoted 5 times
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profesorklaus
2 years, 5 months ago
I agree with sdokmak. Poor/developed countries/territories isn't mentioned here so nothing related to inclusiveness.
upvoted 6 times
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gs23mi
Highly Voted 2 years, 11 months ago
1 Yes 2 No it should be related to "privacy and security" ( see e.g. https://azure.microsoft.com/en-us/services/bot-services/health-bot/#overview ) 3 No it should be related to "fairness"
upvoted 23 times
TJ001
2 years, 8 months ago
Inclusiveness of more upstream in the process.. AI decision covering everyone is fairness ..
upvoted 5 times
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kakarooky
Most Recent 5 days, 22 hours ago
Second question is that "N" is correct. In the emergency room, patients in critical condition are treated first. -> fairness. it is not equal situation. or Accountability that can be in the insurance manual.
upvoted 1 times
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amit_ax
3 weeks, 3 days ago
Answer should be Yes, Yes, NO. There is no explanation how "privacy and security" is related to box2.
upvoted 1 times
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saema
1 month, 4 weeks ago
YES NO NO
upvoted 1 times
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ARITRO
6 months, 1 week ago
In the Exam 8th MARCH 2024
upvoted 6 times
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kd333200
10 months, 2 weeks ago
Answer YYN Yes. This statement is correct. Providing an explanation for a decision made by an AI system, such as a credit loan application, aligns with the transparency principle, as it helps users understand how and why the decision was made. Yes. This statement is correct. Prioritizing insurance claims based on injuries is a critical task, and ensuring the reliability and safety of the AI system in such cases is essential. It aligns with the reliability and safety principle. No. This statement is not an example of the inclusiveness principle. Inclusiveness is more about avoiding bias, discrimination, and ensuring that AI benefits all individuals and groups fairly. Different pricing for different territories may raise concerns about fairness, but it doesn't directly relate to inclusiveness.
upvoted 11 times
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zellck
1 year, 2 months ago
YNN is the answer. https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#transparency 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. Snapshots within Azure Machine Learning workspaces support transparency by recording or retraining all training-related assets and metrics involved in the experiment.
upvoted 2 times
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rdemontis
1 year, 3 months ago
correct answers
upvoted 1 times
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FabianBigData
2 years ago
Yes No No
upvoted 4 times
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Eltooth
2 years, 2 months ago
Yes No No
upvoted 3 times
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DrChats
2 years, 3 months ago
on test 14/6/22
upvoted 3 times
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ydu7312
2 years, 4 months ago
Answers are correct
upvoted 2 times
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Bis_poh
2 years, 4 months ago
Correct. YNN
upvoted 2 times
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HURRICANEDATA
2 years, 4 months ago
i thought 2 should be yes, as some companies might wants to prioritize the claims based on injury so patients get benefit sooner or get treatment faster( depends country to country)
upvoted 2 times
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SiDoCiOuS
2 years, 5 months ago
Appeared on exam: 03/31/2022. Answers are correct! Yes, No, No
upvoted 4 times
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MohammadKhubeb
2 years, 8 months ago
1. Yes, because the logic rules/patterns used by the must be clear and human understandable so that it can also the knowledge discovery. The very good example is Decision trees, and Forest (Random Forest).
upvoted 1 times
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