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Microsoft AI-900 exam is a great starting point for anyone seeking to build a career in the field of AI and ML. Microsoft Azure AI Fundamentals certification exam has no prerequisites, and it is open to anyone interested in AI and ML. AI-900 exam is best suited for individuals who want to start with the basics, such as IT professionals or developers who want to learn how to leverage AI and ML to enhance their work. Students and recent graduates who want to jumpstart their career in AI and ML can also take the AI-900 Exam.
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Microsoft AI-900 exam, also known as the Microsoft Azure AI Fundamentals exam, is a certification exam designed for individuals who want to demonstrate their foundational knowledge of artificial intelligence and its applications in Microsoft Azure. AI-900 exam validates the candidates' ability to identify the fundamental concepts of AI, machine learning, and data analytics. It also tests their understanding of how to apply these concepts to Azure services.
The Microsoft AI-900 Exam is aimed at professionals who are involved in the development and implementation of AI solutions using Microsoft Azure. This includes data scientists, AI engineers, solution architects, and software developers. AI-900 exam is also ideal for business leaders who want to understand the potential of AI and how it can be used to drive innovation and growth.
NEW QUESTION # 29
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 30
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.
Answer:
Explanation:
Explanation:
Box 1: Reliability and safety
To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Box 2: accountability
Box 3: Privacy and security
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
NEW QUESTION # 31
Match the types of computer vision 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.
Answer:
Explanation:
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
NEW QUESTION # 32
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier
NEW QUESTION # 33
Match the machine learning models to the appropriate deceptions.
To answer, drag the appropriate model from the column on the left to its description on the right Each model may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 34
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