Microsoft AI900 Exam Dumps|QAs Page – 1

Microsoft AI900 Exam Dumps post contains real and latest questions for Microsoft Azure Fundamentals.

Microsoft AI900 Exam Dumps – QAs 1-25

Q1. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

Q2. 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?

1. increased sales
2. a reduced workload for the customer service agents
3. improved product reliability

Q3. 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?

1. fairness
2. inclusiveness
3. reliability and safety
4. accountability

Q4. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Correct answer

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

Q5. HOTSPOT –
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance

Q6. 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:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection

Q7. You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

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

Q8. HOTSPOT –
Select the answer that correctly completes the sentence.

Correct answer

Q9. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

Q10. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features

Q11. When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?

1. transparency
2. inclusiveness
3. fairness
4. privacy and security

Q12. DRAG DROP –
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.
Select and Place:

Correct answer

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

Q13. DRAG DROP –
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.
Select and Place:

Correct answer

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

Q14. What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

1. knowledgeability
2. decisiveness
3. inclusiveness
4. fairness
5. opinionatedness
6. reliability and safety

Q15. For a machine learning progress, how should you split data for training and evaluation?

1. Use features for training and labels for evaluation.
2. Randomly split the data into rows for training and rows for evaluation.
3. Use labels for training and features for evaluation.
4. Randomly split the data into columns for training and columns for evaluation.

Q16. 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?

1. Set Validation type to Auto.
2. Enable Explain best model.
3. Set Primary metric to accuracy.
4. Set Max concurrent iterations to 0.

Q17. DRAG DROP –
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.
Select and Place:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

Q18. DRAG DROP –
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

Correct answer

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

Q19. 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?

1. the Verify operation in the Face service
2. the Detect operation in the Face service
3. the Describe Image operation in the Computer Vision service
4. the Analyze Image operation in the Computer Vision service

Q20. 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:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

Q21. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Correct answer

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/

Q22. You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

1. the model name
2. the training endpoint
3. the authentication key
4. the REST endpoint

Q23. DRAG DROP –
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml

Q24. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Correct answer

Q25. DRAG DROP –
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.
Select and Place:

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines