Microsoft AI-900 Dumps PDF - AI-900 Study Material

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

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.

Answer: D

In Azure Machine Learning, the percentage split is the available technique to split the data. In this

technique, random data of a given percentage will be split to train and test data.

Reference:

https://www.sqlshack.com/prediction-in-azure-machine-learning

Question: 4

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.

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-azuremachine-learning-service/

Question: 8

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

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