さらに、Jpexam AIGPダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=16vSlsdlnaQ0w_WcPk_VV2GyGcNZeMbeK
AIGP試験は難しいです。だから、AIGP復習教材を買いました。本当に助かりました。先月、AIGP試験に参加しました。今日は、試験の結果をチエックし、嬉しいことに、AIGP試験に合格しました。AIGP復習教材は有効的な資料です。
| Certification Vendor: | IAPP (International Association of Privacy Professionals) |
|---|---|
| Exam Name: | IAPP Certified Artificial Intelligence Governance Professional (AIGP) Exam |
| Exam Number: | AIGP |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 165 minutes |
| Available Languages: | English |
| Exam Price: | USD 799 (non-member) / USD 649 (IAPP member) |
| Exam Format: | Multiple-choice, Multi-select, Scenario-based questions, Single-select |
| Real Exam Qty: | 100 (85 scored + ~15 unscored pilot questions) |
| Related Certifications: | CIPT CIPP/E CIPP/US CIPM |
| Passing Score: | 300 (scaled score out of 100–500) |
| Recommended Training: | AIGP Practice Exam (Official IAPP Store) IAPP Official AIGP Training and Resources |
| Exam Registration: | Official IAPP AIGP Exam Registration Pearson VUE Scheduling Portal (via IAPP account) |
| Sample Questions: | IAPP AIGP Sample Questions |
| Exam Way: | Computer-based exam delivered via Pearson VUE (test center or online proctored OnVUE) |
| Pre Condition: | None |
| Official Syllabus URL: | https://iapp.org/certify/aigp |
IAPPのAIGP試験はIT領域で人気がある重要な試験です。我々はIT領域の人々にショートカットを提供するために、最高のスタディガイドと最高のオンラインサービスを用意して差し上げます。Jpexamの IAPPのAIGP試験問題集は全ての試験の内容と答案に含まれています。Jpexamの模擬テストを利用したら、これはあなたがずっと全力を尽くてもらいたいもののことが分かって、しかもそれは正に試験の準備をすることを意識します。
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質問 # 218
What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?
正解：C
解説：
Differential privacy is a technique used to ensure that the inclusion or exclusion of a single data point does not significantly affect the outcome of any analysis, providing a way to mathematically prove that no specific piece of training data has more than a negligible effect on the model or its output. This is achieved by introducing randomness into the data or the algorithms processing the data. In the context of training large language models (LLMs), differential privacy helps in protecting individual data points while still enabling the model to learn effectively. By adding noise to the training process, differential privacy provides strong guarantees about the privacy of the training data.
Reference: AIGP BODY OF KNOWLEDGE, pages related to data privacy and security in model training.
質問 # 219
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?
正解：D
解説：
Supervised learning is a subcategory of AI and machine learning where labeled datasets are used to train algorithms. This process involves feeding the algorithm a dataset where the input-output pairs are known, allowing the algorithm to learn and make predictions or decisions based on new, unseen data. Reference: AIGP BODY OF KNOWLEDGE, which describes supervised learning as a model trained on labeled data (e.g., text recognition, detecting spam in emails).
質問 # 220
After initially deploying a third-party AI model, you learn the developer has released a new version.
As deployer of this third-party model, what should you do?
正解：B
解説：
When anew versionof a third-party model is released, the deployer must ensure it still meets safety, performance, and compliance requirements - which calls for aformal audit.
From theAI Governance in Practice Report 2024:
"Any updates or changes to AI systems should trigger a re-evaluation to ensure continued compliance and performance." (p. 12)
"Post-market monitoring includes reassessing the impact of updated models or retraining." (p. 35)
質問 # 221
CASE STUDY
Please use the following answer the next question:
A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The Al system works by surveilling the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.
The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system's accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor's system has a higher accuracy rate and based on this information, recommended this vendor to the police department.
The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process.
The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.
When notifying an accused perpetrator, what additional information should a police officer provide about the use of the Al system?
正解：B
解説：
When notifying an accused perpetrator, the police officer should provide information about how the individual was identified by the AI system. This transparency is crucial for maintaining trust and ensuring that the accused understands the basis of the charges against them. Information about the accuracy, how to oppose the charges, and the composition of the training data, while potentially relevant, do not directly address the immediate need for the accused to understand the specific process that led to their identification. Reference:
AIGP Body of Knowledge on AI Transparency and Explainability.
質問 # 222
The White House Executive Order from November 2023 requires companies that develop dual-use foundation models to provide reports to the federal government about all of the following EXCEPT?
正解：A
解説：
The White House Executive Order from November 2023 requires companies developing dual-use foundation models to report on their current training or development activities, the results of red-team testing, and the physical and cybersecurity protection measures. However, it does not mandate reports on environmental impact studies for each dual-use foundation model. While environmental considerations are important, they are not specified in this context as a reporting requirement under this Executive Order.
Reference: AIGP BODY OF KNOWLEDGE, sections on compliance and reporting requirements, and the White House Executive Order of November 2023.
質問 # 223
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AIGP資格問題集: https://www.jpexam.com/AIGP_exam.html
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