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To pass the AI-900 Exam, candidates must demonstrate their understanding of key concepts related to AI, such as machine learning, natural language processing, and computer vision. They must also be able to identify the different types of AI solutions and understand how to use Azure services to develop and deploy them.
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Microsoft AI-900 exam is an excellent opportunity for individuals who want to learn about AI and its applications in Azure. Microsoft Azure AI Fundamentals certification validates their knowledge of AI concepts and Azure services that support AI. Passing AI-900 Exam can also open doors to new career opportunities in the AI industry, as more and more companies are adopting AI technologies to improve their business processes.
NEW QUESTION # 200
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
In Microsoft's Responsible AI framework, the Reliability and Safety principle ensures that AI systems perform consistently, safely, and as intended across diverse conditions - even when faced with incomplete, unusual, or unexpected data. Correctly handling unusual or missing values in a dataset directly demonstrates this principle, as it helps prevent faulty predictions, biased results, or unsafe system behaviors.
According to the Microsoft Learn Responsible AI module (from the AI-900 and AI-102 study paths), a reliable AI model should maintain its performance when encountering data anomalies. This includes validating inputs, managing missing or extreme values, and testing models to ensure they behave as expected in real-world scenarios. Such practices make AI systems robust and trustworthy, which aligns exactly with the Reliability and Safety principle.
The other Responsible AI principles address different concerns:
* Inclusiveness: Ensures AI empowers and serves all users equitably.
* Privacy and Security: Focuses on safeguarding personal data and preventing unauthorized access.
* Transparency: Ensures that AI decisions are understandable and explainable to users.
While all principles are essential, managing data integrity and system stability-including how a model responds to missing or anomalous values-is primarily a matter of reliability and safety. It ensures the AI behaves predictably and minimizes risks of errors or unintended harm.
Therefore, the correct completion of the sentence is:
"Correctly handling unusual or missing values is an example of the application of the Reliability and Safety principle for Responsible AI."
NEW QUESTION # 201
Select the answer that correctly completes the sentence
Answer:
Explanation:
NEW QUESTION # 202
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 # 203
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.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language- processing
NEW QUESTION # 204
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:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
NEW QUESTION # 205
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