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| 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 (D) None of these |
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Answer is (B) a reduced workload for the customer service agents
| Question.2 To complete the sentence, select the appropriate option in the answer area.  (A) inclusiveness (B) privacy and security (C) reliability and safety (D) transparency |
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Answer is (C)Â reliability and safety
AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process.
An AI system’s performance can degrade over time, so a robust monitoring and model tracking process needs to be established to reactively and proactively measure the model’s performance and retrain it, as necessary, to modernize it. Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
| Question.3 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.  |
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Answer is 1. Conversational AI
2. Computer vision
3. Natural language processing
Sentiment analysis and opinion mining are features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. These features help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text.
The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Reference:
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/sentiment-opinion-mining/overview
https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analysis?tabs=4-0
| Question.4 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 |
4. Click here to View Answer
Answer is (B) inclusiveness
Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
| Question.5 Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.  |
5. Click here to View Answer
Answer is 1. Reliability and safety
- Accountability
- Privacy and security
AI systems need to be reliable and safe in order to be trusted. It’s important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process.
A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn’t compromise an individual’s privacy. Azure differential privacy protects and preserves privacy by randomizing data and adding noise to conceal personal information from data scientists.
Accountability is an essential pillar of responsible AI. The people who design and deploy the AI system need to be accountable for its actions and decisions, especially as we progress toward more autonomous systems. Organizations should consider establishing an internal review body that provides oversight, insights, and guidance about developing and deploying AI systems. While this guidance might vary depending on the company and region, it should reflect an organization’s AI journey.
Reference:
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#reliability-and-safety
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#privacy-and-security
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#accountability