File Info
| Exam | Microsoft Azure AI Fundamentals |
| Number | AI-900 |
| File Name | Microsoft Azure AI Fundamentals.dump4pass.AI-900.2023-01-19.1e.151q.vcex |
| Size | 6.42 Mb |
| Posted | January 19, 2023 |
| Downloads | 40 |
| Download | Microsoft Azure AI Fundamentals.dump4pass.AI-900.2023-01-19.1e.151q.vcex |
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Demo Questions
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
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
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.
- B: Enable Explain best model.
- C: Set Primary metric to accuracy.
- D: Set Max concurrent iterations to 0.
Correct Answer: B
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
- B: inclusiveness
- C: reliability and safety
- D: accountability
Correct Answer: B
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.
- 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
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
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
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/
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
- B: fairness
- C: inclusiveness
- D: privacy and security
Correct Answer: C
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
- B: decisiveness
- C: inclusiveness
- D: fairness
- E: opinionatedness
- F: reliability and safety
Correct Answer: CDF
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
To complete the sentence, select the appropriate option in the answer area.
Correct Answer: Exam simulator is required
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
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
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
