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AIGP學習資料，AIGP題庫分享

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>> AIGP學習資料 <<

AIGP題庫分享 & AIGP考題

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最新的 Artificial Intelligence Governance AIGP 免費考試真題 (Q95-Q100):

問題 #95
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM"). In particular, ABC intends to use its historical customer data-including applications, policies, and claims-and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed .. human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.
During the first month when ABC monitors the model for bias, it is most important to?

A. Seek approval from management for any changes to the model.
B. Continue disparity testing.
C. Compare the results to human decisions prior to deployment.
D. Analyze the quality of the training and testing data.

答案：B

解題說明：
During the first month of monitoring the model for bias, it is most important to continue disparity testing.
Disparity testing involves regularly evaluating the model's decisions to identify and address any biases, ensuring that the model operates fairly across different demographic groups.
Reference: Regular disparity testing is highlighted in the AIGP Body of Knowledge as a critical practice for maintaining the fairness and reliability of AI models. By continuously monitoring for and addressing disparities, organizations can ensure their AI systems remain compliant with ethical and legal standards, and mitigate any unintended biases that may arise in production.

問題 #96
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

A. GPUs run many tasks concurrently, resulting in faster processing.
B. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
C. GPUs can access memory quickly, resulting in lower latency than CPUs.
D. GPUs can run every task on a computer, making them more robust than CPUs.

答案：A

解題說明：
GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks. Reference:
AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.

問題 #97
Which of the following is NOT a common type of machine learning?

A. Reinforcement learning.
B. Unsupervised learning.
C. Cognitive learning.
D. Deep learning.

答案：C

解題說明：
The common types of machine learning include supervised learning, unsupervised learning, reinforcement learning, and deep learning. Cognitive learning is not a type of machine learning; rather, it is a term often associated with the broader field of cognitive science and psychology. Reference: AIGP BODY OF KNOWLEDGE and standard AI/ML literature.

問題 #98
Random forest algorithms are in what type of machine learning model?

A. Symbolic.
B. Generative.
C. Discriminative.
D. Natural language processing.

答案：C

解題說明：
Random forest algorithms are classified as discriminative models. Discriminative models are used to classify data by learning the boundaries between classes, which is the core functionality of random forest algorithms.
They are used for classification and regression tasks by aggregating the results of multiple decision trees to make accurate predictions.
Reference: The AIGP Body of Knowledge explains that discriminative models, including random forest algorithms, are designed to distinguish between different classes in the data, making them effective for various predictive modeling tasks.

問題 #99
All of the following are penalties and enforcements outlined in the EU Al Act EXCEPT?

A. The Al Pact will act as a transitional bridge until the Regulations are fully enacted.
B. Rules on General Purpose Al will apply after 6 months as a specific provision.
C. Fines for SMEs and startups will be proportionally capped.
D. Fines for violations of banned Al applications will be €35 million or 7% global annual turnover (whichever is higher).

答案：A

解題說明：
The EU AI Act outlines specific penalties and enforcement mechanisms to ensure compliance with its regulations. Among these, fines for violations of banned AI applications can be as high as €35 million or 7% of the global annual turnover of the offending organization, whichever is higher. Proportional caps on fines are applied to SMEs and startups to ensure fairness. General Purpose AI rules are to apply after a 6-month period as a specific provision to ensure that stakeholders have adequate time to comply. However, there is no provision for an "AI Pact" acting as a transitional bridge until the regulations are fully enacted, making option C the correct answer.

問題 #100
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AIGP題庫分享: https://www.newdumpspdf.com/AIGP-exam-new-dumps.html

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AIGP認證考試資訊 - 通過AIGP認證考試最新的考古題

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