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    Describe Artificial Intelligence workloads and considerations

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    what you'll learn in this chapter. Access all 22 questions and detailed explanations when you enroll.

    An e-commerce website aims to show personalized product recommendations to each user based on their browsing history and previous purchases. Which Azure service would be best suited for this purpose?

    Topic: Identify features of content moderation and personalization workloads

    You are building an AI model that processes healthcare data, including patient records. Is it necessary to implement encryption and anonymization techniques to ensure the AI system adheres to the principle of Privacy and Security?

    Topic: Describe considerations for privacy and security in an AI solution

    You are developing an AI solution that involves processing sensitive personal data. To ensure compliance with legal and ethical standards, which guiding principle for responsible AI should you prioritize?

    Topic: Describe considerations for privacy and security in an AI solution

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    Frequently Asked Questions

    What topics are covered?
    This chapter covers the identification of common AI workloads including content moderation, personalization, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI. It also explores the guiding principles for responsible AI, focusing on fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability in AI solutions.
    How many practice questions are included?
    22 comprehensive questions, each with detailed explanations to help you master the concepts.
    What's included with enrollment?
    Full access to all practice questions, detailed explanations, progress tracking, and the ability to focus on specific topics you want to improve.