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, 1.If humans are unlabeling the data and the machine is correctly labeling current or future data points, it’s
______.
A. supervised learning
B. unsupervised learning
C. reinforcement learning
D. semi-reinforcement learning
E. semi-supervised learning
Answer: E
Explanation:
Semi-supervised learning is the correct answer because it combines a small amount of labeled data with
a larger amount of unlabeled data. In this scenario, humans are not fully labeling the data, but the
machine is still able to correctly label current or future data points by learning patterns from the available
data. That matches the concept of semi-supervised learning, where the model uses limited
human-provided labels and extends learning to unlabeled examples.
Supervised learning is not the best answer because supervised learning depends on clearly labeled
training data supplied by humans. Unsupervised learning is also incorrect because it identifies hidden
patterns or clusters without using labels, rather than predicting correct labels for future data points.
Reinforcement learning is based on rewards, penalties, actions, and an environment, which is not
described here. “Semi-reinforcement learning” is not a standard main category in machine learning.
Therefore, the most accurate answer is **E. Semi-supervised learning.
2.Choose the CORRECT example of a business goal?
A. Cost reduction for operational processes.
B. Mitigation of business or operational risks.
C. Product or service revenue improvements.
D. a and b only
E. All of the above
Answer: E
Explanation:
A business goal is a measurable outcome that an organization wants to achieve through strategy,
operations, technology, or transformation initiatives. In artificial intelligence and business analytics
contexts, common business goals include reducing operating costs, minimizing risks, improving customer
or product outcomes, and increasing revenue. Cost reduction for operational processes is a valid
business goal because AI can automate tasks, optimize resources, and reduce inefficiencies. Mitigation of
business or operational risks is also a valid goal because AI can support fraud detection, compliance
monitoring, anomaly detection, and predictive risk analysis. Product or service revenue improvement is
another valid goal because AI can help personalize offerings, improve pricing, identify market
opportunities, and increase customer value.
Since all three listed choices represent legitimate business goals that can guide AI initiatives and
business transformation, the most complete and correct option is E. All of the above.
3.Choose the BEST key components of workflow automation.
A. Pipeline design and management
B. Pipeline execution and monitoring
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