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Quiz IAPP - AIGP - Latest Practice IAPP Certified Artificial Intelligence Governance Professional Exam

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q153-Q158):

NEW QUESTION # 153
You are a privacy program manager at a large e-commerce company that uses an Al tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.
A user submits a data access request under an applicable U.S. state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for productrecommendations.
What is the most challenging aspect of managing this request?

A. The data subject is not entitled to receive a copy of their data because some of it was scraped from public sources.
B. The data subject's data is structured data that can be searched, compiled and reviewed only by an automated tool.
C. Some of the visitor's data is synthetic data that the company does not have to provide to the data subject.
D. Some of the data subject's data is unstructured data and you cannot untangle it from the other data, including information about other individuals.

Answer: D

Explanation:
The most challenging aspect of managing a data access request in this scenario is dealing with unstructured data that cannot be easily disentangled from other data, including information about other individuals.
Unstructured data, such as free-text inputs or social media posts, often lacks a clear structure and may be intermingled with data from multiple individuals, making it difficult to isolate the specific data related to the requester. This complexity poses significant challenges in complying with data access requests under privacy laws. Reference: AIGP Body of Knowledge on Data Subject Rights and Data Management.

NEW QUESTION # 154
All of the following are reasons to deploy a challenger Al model in addition a champion Al model EXCEPT to?

A. Provide a framework to consider alternatives to the champion model.
B. Retrain the champion model.
C. Automate real-time monitoring of the champion model.
D. Perform testing on the champion model.

Answer: B

Explanation:
Deploying a challenger AI model alongside a champion model is a strategy used to compare the performance of different models in a real-world environment. This approach helps in providing a framework to consider alternatives to the champion model, automating real-time monitoring of the champion model, and performing testing on the champion model. However, retraining the champion model is not a reason to deploy a challenger model. Retraining is a separate process that involves updating the champion model with new data or techniques, which is not related to the use of a challenger model.
Reference: AIGP BODY OF KNOWLEDGE, sections on model evaluation and management.

NEW QUESTION # 155
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

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

Answer: B

Explanation:
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.

NEW QUESTION # 156
What is the primary purpose of an Al impact assessment?

A. To define and document the roles and responsibilities of Al stakeholders.
B. To identify and measure the benefits of an Al system.
C. Anticipate and manage the potential risks and harms of an Al system.
D. To define and evaluate the legal risks associated with developing an Al system.

Answer: C

Explanation:
The primary purpose of an AI impact assessment is to anticipate and manage the potential risks and harms of an AI system. This includes identifying the possible negative outcomes and implementing measures to mitigate these risks. This process helps ensure that AI systems are developed and deployed in a manner that is ethically and socially responsible, addressing concerns such as bias, fairness, transparency, and accountability.
The assessment often involves a thorough evaluation of the AI system's design, data inputs, outputs, and the potential impact on various stakeholders. This approach is crucial for maintaining public trust and adherence to regulatory requirements.

NEW QUESTION # 157
A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third-party developers, they're considering two options:
Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs.
Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input.
Option A would be the best choice for the company because?

A. It can handle voice commands and is more suitable for phone-based customer support.
B. It is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.
C. It is less expensive to run
D. It may be better suited for applications requiring customization.

Answer: D

Explanation:
Open-source modelsoffer morecustomization flexibility, allowing organizations to fine-tune or adapt the model tofit their own workflows, branding, or compliance needs- making it preferable when deep control is needed.
From theAI Governance in Practice Report 2024:
"Open-source AI allows organizations to review, adapt, and control model behavior in line with organizational needs and policies." (p. 39)

NEW QUESTION # 158
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Pass Guaranteed 2025 IAPP AIGP–The Best Practice Exam

Quiz IAPP - AIGP - Latest Practice IAPP Certified Artificial Intelligence Governance Professional Exam

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q153-Q158):

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