Introspective Practice
Now it’s time to check your knowledge before we move ahead with the next chapter.
| 1. | You need to build a model that uses past data, such as the number of bicycles rented each day and weather observations, to make predictions about future demand. How do you know which Azure service to use? a. Azure Bot Service b. Azure Cognitive Search c. Azure Machine Learning | |
| 2. | You are tasked with developing an AI program that analyzes photos of people’s faces for cues about their moods and feelings. What is a helpful AI workload? a. Anomaly detection b. Natural language processing c. Computer vision | |
| 3. | The credit cards of certain financial institutions are now available. Credit limits could be assigned mechanically to those who applied for the cards online. The bank makes sure that the algorithm’s decision about the credit limit is the same no matter what gender the applicant is. Which of the principles of AI accountability is being met here? a. Transparency b. Reliability and safety c. Accountability | |
| 4. | A translation feature and automatic language detection for multilingual search are features sought after by a commercial online store. Which Azure AI service it should rely on? a. Natural language processing b. Azure Machine Learning c. Azure Cognitive Search | |
| 5. | Providers of insurance products want to use artificial intelligence to create a tool that aids policyholders in making informed choices. Which service do you think is best at directing clients in the direction they need to go? a. Azure Bot Service b. Natural language processing c. Azure Machine Learning |
Solutions to Practice Test
| 1. | Question 1 – a | |
| 2. | Question 2 – c | |
| 3. | Question 3 – a | |
| 4. | Question 4 – c | |
| 5. | Question 5 – a |
References: Microsoft Learn
I firmly believe that the chapter would have prepared you for your AI-900 certification. Before we move on to the next chapter and learn more about Azure Machine Learning, I strongly suggest that you go through the Microsoft Learning Azure AI Fundamentals: Get Started with Artificial Intelligence module, using the following link:
Get Started with AI on Azure: https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
Summary
The development of AI has made it possible to come up with and use effective solutions to a wide range of problems. Artificial intelligence (AI) systems can take on human traits to analyze the world around them, make predictions or inferences, and act on those inferences in ways we couldn’t even imagine a short time ago.
The authority is accompanied by certain responsibilities. As the people who make AI-based solutions, we have a duty to follow a set of rules that will make sure that everyone will benefit from AI and that no one or group of people will lose out.
In this chapter, you learned about the fundamentals of AI along with core AI workloads. You also learned about the most popular AI services on Microsoft Azure, such as Azure Machine Learning, Azure Cognitive Services, Azure Bot Service, and Azure Cognitive Search. You also learned about the guiding principles of responsible AI applications. In the next chapter, you will learn about the basics of machine learning and its most important components, like datasets, features, labels, different machine learning algorithms, and the machine learning workflow.