VALIDATE YOUR SKILLS WITH IAPP AIGP IAPP CERTIFIED ARTIFICIAL INTELLIGENCE GOVERNANCE PROFESSIONAL EXAM DUMPS

Validate Your Skills with IAPP AIGP IAPP Certified Artificial Intelligence Governance Professional Exam Dumps

Validate Your Skills with IAPP AIGP IAPP Certified Artificial Intelligence Governance Professional Exam Dumps

Blog Article

Tags: AIGP Reliable Mock Test, Real AIGP Dumps Free, Downloadable AIGP PDF, New AIGP Test Pdf, AIGP Examcollection Dumps Torrent

IAPP AIGP certification is indeed a better idea before you start with the interviews. IAPP AIGP certification will add up to your excellence in your field and leave no space for any doubts in the mind of the hiring team. But, have you thought about how can you prepare for the IAPP AIGP Exam Questions? Do you have any idea how we can crack the nut to give wings to our dreams?

No matter on any condition, our company will not use your information to make profits. As already mentioned above, our AIGP learning materials attach great importance to the interests of customers. A product can develop for so many years, and ultimately the customer's trust and support. Many of the users of AIGP training prep were introduced by our previous customers. They truly trust our AIGP exam questions. And as long as you buy our AIGP practice guide, we believe you will trust them as well.

>> AIGP Reliable Mock Test <<

Latest updated IAPP AIGP Reliable Mock Test Are Leading Materials & Top AIGP: IAPP Certified Artificial Intelligence Governance Professional

Preparing AIGP exam is a challenge for yourself, and you need to overcome difficulties to embrace a better life. As for this exam, our AIGP training materials will be your indispensable choice. We are committed to providing you with services with great quality that will help you reduce stress during the process of preparation for AIGP Exam, so that you can treat the exam with a good attitude. I believe that if you select our AIGP study questions, success is not far away.

IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.
Topic 2
  • Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 3
  • Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q55-Q60):

NEW QUESTION # 55
All of the following are required for high-risk AI systems under the EU AI Act EXCEPT?

  • A. Conducting post-market monitoring.
  • B. Retaining system-generated logs for at least six months.
  • C. Conducting a conformity assessment.
  • D. Publishing a detailed report on the training data used.

Answer: D

Explanation:
The EU AI Act imposes severalmandatory obligationson high-risk AI systems, butpublishing a detailed report on training dataisnotone of them.
From theAI Governance in Practice Report 2024:
"It mandates drawing up technical documentation for high-risk AI systems, and requires high-risk AI systems to come with instructions for use that disclose various information, including characteristics, capabilities and performance limitations." (p. 34)
"To make high-risk AI systems more traceable, it also requires AI systems to be able to automatically allow for the maintenance of logs throughout the AI life cycle."
"Conducting post-market monitoring" and "conformity assessments" areexplicitrequirements for high-risk systems. (p. 34-35) However,publishingdetailed training data is typicallyrequired only for general-purpose AI systems with systemic risk, not standard high-risk AI systems.
* A. Log retention,B. Post-market monitoring, andC. Conformity assessmentsareall requiredunder the EU AI Act for high-risk systems.


NEW QUESTION # 56
What is the best reason for a company adopt a policy that prohibits the use of generative Al?

  • A. Avoid using technology that cannot be monetized.
  • B. Avoid needing to identify and hire qualified resources.
  • C. Avoid the time necessary to train employees on acceptable use.
  • D. Avoid accidental disclosure to its confidential and proprietary information.

Answer: D

Explanation:
The primary concern for a company adopting a policy prohibiting the use of generative AI is the risk of accidental disclosure of confidential and proprietary information. Generative AI tools can inadvertently leak sensitive data during the creation process or through data sharing. This risk outweighs the other reasons listed, as protecting sensitive information is critical to maintaining the company's competitive edge and legal compliance. This rationale is discussed in the sections on risk management and data privacy in the IAPP AIGP Body of Knowledge.


NEW QUESTION # 57
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

  • A. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
  • B. GPUs run many tasks concurrently, resulting in faster processing.
  • C. GPUs can run every task on a computer, making them more robust than CPUs.
  • 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 # 58
In the machine learning context, feature engineering is the process of?

  • A. Converting raw data into clean data.
  • B. Creating learning schema for a model apply.
  • C. Extracting attributes and variables from raw data.
  • D. Developing guidelines to train and test a model.

Answer: C

Explanation:
In the machine learning context, feature engineering is the process of extracting attributes and variables from raw data to make it suitable for training an AI model. This step is crucial as it transforms raw data into meaningful features that can improve the model's accuracy and performance. Feature engineering involves selecting, modifying, and creating new features that help the model learn more effectively. Reference: AIGP Body of Knowledge on AI Model Development and Feature Engineering.


NEW QUESTION # 59
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent.
The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions.
One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
Which other stakeholder groups should be involved in the selection and implementation of the Al hiring tool?

  • A. Supply Chain and Marketing.
  • B. Finance and Legal.
  • C. Marketing and Compliance.
  • D. Litigation and Product Development.

Answer: B

Explanation:
In the selection and implementation of the AI hiring tool, involving Finance and Legal is crucial. The Finance team is essential for assessing cost implications, budget considerations, and financial risks. The Legal team is necessary to ensure compliance with applicable laws and regulations, including those related to data privacy, employment, and anti-discrimination. Involving these stakeholders ensures a comprehensive evaluation of both the financial viability and legal compliance of the AI tool, mitigating potential risks and aligning with organizational objectives and regulatory requirements.


NEW QUESTION # 60
......

By focusing on how to help you effectively, we encourage exam candidates to buy our AIGP practice test with high passing rate up to 98 to 100 percent all these years. Our AIGP exam dumps almost cover everything you need to know about the exam. As long as you practice our AIGP test question, you can pass exam quickly and successfully. By using them, you can not only save your time and money, but also pass AIGP Practice Exam without any stress. Before you place orders, you can download the free demos of AIGP practice test as experimental acquaintance.

Real AIGP Dumps Free: https://www.validtorrent.com/AIGP-valid-exam-torrent.html

Report this page