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NEW QUESTION # 46
Which of the following is a CORRECT statement for Few-shot learning?
Answer: E
Explanation:
The correct answer is D. a and b only because few-shot learning is a machine learning technique that allows a model to learn or adapt to a new task using only a small number of labeled examples. It is especially useful when collecting large labeled datasets is expensive, slow, or difficult. Instead of requiring thousands or millions of labeled records, few-shot learning depends on prior knowledge learned by the model and applies that knowledge to new examples with limited supervision.
Statement A is correct because few-shot learning is recognized as a machine learning approach. Statement B is also correct because the core idea of few-shot learning is learning from very limited labeled data. Statement C is not correct because learning from unlabeled data is more closely associated with unsupervised learning or semi-supervised learning, not the standard definition of few-shot learning. Therefore, the correct answer is D.
a and b only .
NEW QUESTION # 47
Which of the following is the CORRECT key areas as ethical principles?
Answer: A
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 # 48
Select the MOST CORRECT statement for Few-shot learning.
Answer: A
Explanation:
The correct answer is E. b and c only because few-shot learning means a model learns or adapts to a new task using only a small number of examples. In generative AI and large language model usage, few-shot prompting often provides a few demonstrations so the model can understand the expected pattern, format, classification logic, or response style. Option B is correct because few-shot learning uses a limited number of examples rather than a large training dataset.
Option C is also correct because few-shot learning depends on the model's prior knowledge learned during pretraining. The model uses that existing knowledge to generalize from the small set of examples and apply the same logic to new inputs. Option A is not the best statement because "a large number of examples" does not match the idea of few-shot learning. Therefore, the most correct answer is E. b and c only .
NEW QUESTION # 49
Which of the following is the CORRECT basic brain components?
Answer: C
Explanation:
The correct answer is E. All of the above because the listed terms are associated with major functional or structural areas of the human brain often discussed when explaining cognition, intelligence, decision-making, emotions, perception, and behavior. The neocortex is linked with higher-order thinking, reasoning, language, planning, perception, and conscious decision-making. The limbic system is strongly associated with emotion, memory, motivation, and behavioral responses. The midbrain is involved in sensory processing, movement control, visual and auditory responses, and alertness. The brainstem supports essential automatic functions such as breathing, heart rate, sleep-wake regulation, and basic survival processes.
In artificial intelligence learning, these brain components are often introduced to help explain how human intelligence works and how AI attempts to model certain cognitive functions. Since neocortex, limbic, midbrain, and brainstem are all valid basic brain-related components, the best answer is E. All of the above .
NEW QUESTION # 50
Which of the following is MLOps?
Answer: A
Explanation:
The correct answer is E. a, b and c only because MLOps includes workflow automation, continuous integration, and continuous deployment as important practices for managing the machine learning lifecycle.
MLOps, or Machine Learning Operations, applies DevOps-style principles to machine learning systems so models can be developed, tested, deployed, monitored, and maintained in a reliable and repeatable way.
Workflow automation is part of MLOps because machine learning pipelines often include data ingestion, data validation, feature engineering, model training, model evaluation, deployment, and monitoring. Continuous integration is also included because ML code, data pipelines, configuration files, and model components need regular testing and validation when changes are made. Continuous deployment is another key part because approved models should be deployed efficiently into production environments with version control, rollback options, and monitoring.
Since all three options describe important MLOps capabilities, the best answer is E. a, b and c only .
NEW QUESTION # 51
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