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NEW QUESTION # 57
Which of the following is NOT a learning category for the ML model?
Answer: E
Explanation:
The correct answer is D. Semi Reinforcement learning because it is not commonly recognized as a standard learning category for machine learning models. The major machine learning categories include supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. Supervised learning uses labeled datasets where the model learns from known input-output examples. Unsupervised learning uses unlabeled data to discover patterns, clusters, or hidden structures. Reinforcement learning trains an agent through interaction with an environment using rewards and penalties. Semi-supervised learning combines a small amount of labeled data with a larger amount of unlabeled data to improve learning when fully labeled datasets are limited.
"Semi Reinforcement learning" is not normally listed as a core ML learning category in standard AI and machine learning learning paths. Therefore, among the given options, the one that is NOT a learning category for the ML model is D. Semi Reinforcement learning .
NEW QUESTION # 58
Choose the CORRECT statement for SOFT Launch.
Answer: A
Explanation:
The correct answer is E. a, b and c only because all three statements correctly describe a soft launch. A soft launch is a limited and controlled release of a new product, service, platform, or feature before a full public launch. Organizations use it to test the product in a real or semi-real market environment while reducing risk and maintaining control over the launch process.
Statement A is correct because a soft launch is not a large-scale public release; it is usually restricted to a smaller audience, region, user group, or market segment. Statement B is also correct because companies may handpick early users, beta testers, internal customers, loyal customers, or selected market participants to try the product first. Statement C is correct because a soft launch helps the company observe customer reactions, collect feedback, identify defects, test adoption, validate messaging, and estimate customer acquisition costs.
Since A, B, and C are all accurate, the best answer is E. a, b and c only .
NEW QUESTION # 59
Which type of AI mimics the human brain by building networks of artificial neurons?
Answer: C
Explanation:
The correct answer is C. Neural Networks . Neural networks are AI and machine learning models inspired by the structure and function of the human brain. They are built using interconnected artificial neurons, also called nodes, which process input data, apply weights and activation functions, and pass information through layers to produc e an output. This structure allows neural networks to learn complex patterns from data.
Fuzzy logic is incorrect because it deals with reasoning under uncertainty using degrees of truth rather than artificial neurons. Genetic algorithms are optimization methods inspired by natural selection and evolution, not the brain's neuron-based structure. Expert systems use rules and knowledge bases to make decisions, but they do not mimic the brain through networks of artificial neurons. Since the question specifically asks about AI that mimics the human brain by building artificial neuron networks, the correct answer is C. Neural Networks .
NEW QUESTION # 60
Which of the following is a regulatory requirement?
Answer: B
Explanation:
The correct answer is E. a, b and c only because HIPAA, GDPR, and CCPA are all regulatory requirements that organizations may need to follow when collecting, processing, storing, sharing, or protecting data. In AI and data-driven business environments, regulatory compliance is important because AI systems often depend on large volumes of personal, sensitive, customer, health, or behavioral data.
HIPAA is a United States healthcare regulation that protects sensitive patient health information. GDPR is a European Union data protection regulation that governs personal data processing, privacy rights, consent, data minimization, and accountability. CCPA is a California privacy law that gives consumers rights related to personal information, including access, deletion, and opt-out rights. These regulations affect how organizations design AI systems, manage data governance, ensure privacy, reduce risk, and maintain responsible AI practices.
Since all three listed items are valid regulatory requirements, the correct answer is E. a, b and c only .
NEW QUESTION # 61
Which of the following is the CORRECT key areas as ethical principles?
Answer: D
Explanation:
The correct answer is E. a, b and c only because respect for human autonomy, prevention of harm, and explicability are all recognized ethical principles in responsible AI. Respect for human autonomy means AI systems should support human decision-making rather than unfairly manipulate, replace, or override people in ways that remove meaningful human control. This is especially important in business, healthcare, finance, hiring, and other high-impact AI use cases.
Prevention of harm is also a core ethical principle because AI systems should be designed and deployed to reduce physical, psychological, financial, social, operational, and reputational risks. Organizations must consider safety, reliability, misuse prevention, bias reduction, and risk controls.
Explicability is correct because AI decisions should be understandable, explainable, and auditable where appropriate. Stakeholders should be able to understand how and why an AI system produces important outputs. Since all three listed items are valid ethical principles, the correct answer is E. a, b and c only .
NEW QUESTION # 62
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