Download Microsoft Azure AI Fundamentals.dump4pass.AI-900.2022-12-23.1e.122q.vcex

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Exam	Microsoft Azure AI Fundamentals
Number	AI-900
File Name	Microsoft Azure AI Fundamentals.dump4pass.AI-900.2022-12-23.1e.122q.vcex
Size	5.29 Mb
Posted	December 23, 2022
Downloads	25

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Demo Questions

Question 1

A company employs a team of customer service agents to provide telephone and email support to customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?

A: increased sales
B: a reduced workload for the customer service agents
C: improved product reliability

Correct Answer: B

Question 2

For a machine learning progress, how should you split data for training and evaluation?

A: Use features for training and labels for evaluation.
B: Randomly split the data into rows for training and rows for evaluation.
C: Use labels for training and features for evaluation.
D: Randomly split the data into columns for training and columns for evaluation.

Correct Answer: B

The Split Data module is particularly useful when you need to separate data into training and testing sets. Use the Split Rows option if you want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50. You can also randomize the selection of rows in each group, and use stratified sampling.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data

Question 3

You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?

A: Set Validation type to Auto.
B: Enable Explain best model.
C: Set Primary metric to accuracy.
D: Set Max concurrent iterations to 0.

Correct Answer: B

Model Explain Ability.
Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs.
Reference:
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning-service/

Question 4

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?

A: fairness
B: inclusiveness
C: reliability and safety
D: accountability

Correct Answer: B

Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

Question 5

You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

A: Ensure that all visuals have an associated text that can be read by a screen reader.
B: Enable autoscaling to ensure that a service scales based on demand.
C: Provide documentation to help developers debug code.
D: Ensure that a training dataset is representative of the population.

Correct Answer: C

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

Question 6

Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Correct Answer: Exam simulator is required

Reference:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/

Question 7

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A: knowledgeability
B: decisiveness
C: inclusiveness
D: fairness
E: opinionatedness
F: reliability and safety

Correct Answer: CDF

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

Question 8

You run a charity event that involves posting photos of people wearing sunglasses on Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
Include one or more faces.
Contain at least one person wearing sunglasses.
What should you use to analyze the images?

A: the Verify operation in the Face service
B: the Detect operation in the Face service
C: the Describe Image operation in the Computer Vision service
D: the Analyze Image operation in the Computer Vision service

Correct Answer: B

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview

Question 9

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

Correct Answer: Exam simulator is required

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

Question 10

Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement 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.

Correct Answer: Exam simulator is required

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/4-guiding-principles

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