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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?

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

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

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

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

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
A.
fairness
Answers
B.
inclusiveness
B.
inclusiveness
Answers
C.
reliability and safety
C.
reliability and safety
Answers
D.
accountability
D.
accountability
Answers
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

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

Explanation:

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

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?

A.
accountability
A.
accountability
Answers
B.
fairness
B.
fairness
Answers
C.
inclusiveness
C.
inclusiveness
Answers
D.
privacy and security
D.
privacy and security
Answers
Suggested answer: C

Explanation:

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

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
A.
knowledgeability
Answers
B.
decisiveness
B.
decisiveness
Answers
C.
inclusiveness
C.
inclusiveness
Answers
D.
fairness
D.
fairness
Answers
E.
opinionatedness
E.
opinionatedness
Answers
F.
reliability and safety
F.
reliability and safety
Answers
Suggested answer: C, D, F

Explanation:

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

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

Explanation:

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

Which metric can you use to evaluate a classification model?

A.
true positive rate
A.
true positive rate
Answers
B.
mean absolute error (MAE)
B.
mean absolute error (MAE)
Answers
C.
coefficient of determination (R2)
C.
coefficient of determination (R2)
Answers
D.
root mean squared error (RMSE)
D.
root mean squared error (RMSE)
Answers
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

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.

A.
dataset
A.
dataset
Answers
B.
compute
B.
compute
Answers
C.
pipeline
C.
pipeline
Answers
D.
module
D.
module
Answers
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

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