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Microsoft AI-900 Practice Test - Questions Answers

List of questions

Question 1

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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?

increased sales
increased sales
a reduced workload for the customer service agents
a reduced workload for the customer service agents
improved product reliability
improved product reliability
Suggested answer: B
asked 26/09/2024
Takenobu Tanida
36 questions

Question 2

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

Use features for training and labels for evaluation.
Use features for training and labels for evaluation.
Randomly split the data into rows for training and rows for evaluation.
Randomly split the data into rows for training and rows for evaluation.
Use labels for training and features for evaluation.
Use labels for training and features for evaluation.
Randomly split the data into columns for training and columns for evaluation.
Randomly split the data into columns for training and columns for evaluation.
Suggested answer: B
Explanation:

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

asked 26/09/2024
Oliver Buss
29 questions

Question 3

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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?

Set Validation type to Auto.
Set Validation type to Auto.
Enable Explain best model.
Enable Explain best model.
Set Primary metric to accuracy.
Set Primary metric to accuracy.
Set Max concurrent iterations to 0.
Set Max concurrent iterations to 0.
Suggested answer: B
Explanation:

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/

asked 26/09/2024
Danilo Ferrareis
34 questions

Question 4

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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?

fairness
fairness
inclusiveness
inclusiveness
reliability and safety
reliability and safety
accountability
accountability
Suggested answer: B
Explanation:

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

asked 26/09/2024
chris bezuidenhout
35 questions

Question 5

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You are building an AI system.

Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

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

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

asked 26/09/2024
Shameez Mohammed
37 questions

Question 6

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Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups. This an example of which Microsoft guiding principle for responsible AI?

accountability
accountability
fairness
fairness
inclusiveness
inclusiveness
privacy and security
privacy and security
Suggested answer: C
Explanation:

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

asked 26/09/2024
Emmanuel Aminu
46 questions

Question 7

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What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

knowledgeability
knowledgeability
decisiveness
decisiveness
inclusiveness
inclusiveness
fairness
fairness
opinionatedness
opinionatedness
reliability and safety
reliability and safety
Suggested answer: C, D, F
Explanation:

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

asked 26/09/2024
Guus Schenkelaars
28 questions

Question 8

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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?

the Verify operation in the Face service
the Verify operation in the Face service
the Detect operation in the Face service
the Detect operation in the Face service
the Describe Image operation in the Computer Vision service
the Describe Image operation in the Computer Vision service
the Analyze Image operation in the Computer Vision service
the Analyze Image operation in the Computer Vision service
Suggested answer: B
Explanation:

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

asked 26/09/2024
Pilocz Pi
39 questions

Question 9

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Which metric can you use to evaluate a classification model?

true positive rate
true positive rate
mean absolute error (MAE)
mean absolute error (MAE)
coefficient of determination (R2)
coefficient of determination (R2)
root mean squared error (RMSE)
root mean squared error (RMSE)
Suggested answer: A
Explanation:

What does a good model look like?

An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification

asked 26/09/2024
Tim Dekker
37 questions

Question 10

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Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

dataset
dataset
compute
compute
pipeline
pipeline
module
module
Suggested answer: A, D
Explanation:

You can drag-and-drop datasets and modules onto the canvas.

Reference:

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

asked 26/09/2024
Courage Marume
35 questions
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