IAPP AIGP Online Practice Questions and Exam Preparation

IAPP AIGP Online Questions & Answers

• Question 71:

  According to the EU Al Act, providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?

  A. Al systems that are harmful based on a legal risk-utility calculation.
  B. Al systems that are "strong" general intelligence.
  C. Al systems trained on sensitive personal data.
  D. Al systems that are high-risk.
  D. Al systems that are high-risk.

• Question 72:

  CASE STUDY A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.

  When prioritizing the updates to its policies, rules and procedures to include the new AI system for user authentication, the organization should:

  A. Update third-party data sharing policies
  B. Update security controls for sensitive data
  C. Ensure that any personal data used is only processed for a specific and lawful purpose
  D. Reduce the complexity of the policy to make it easier for non-technical employees to understand
  C. Ensure that any personal data used is only processed for a specific and lawful purpose

• Question 73:

  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. Automate real-time monitoring of the champion model.
  C. Perform testing on the champion model.
  D. Retrain the champion model.
  D. Retrain the champion model.

• Question 74:

  All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

  A. Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.
  B. Momentum, which improves the convergence speed and stability of neural network training.
  C. Autoregression, which analyzes and makes predictions about time-series data.
  D. Backpropagation, which starts from the last layer working backwards.
  C. Autoregression, which analyzes and makes predictions about time-series data.

• Question 75:

  An artist has been using an Al tool to create digital art and would like to ensure that it has copyright protection in the United States. Which of the following is most likely to enable the artist to receive copyright protection?

  A. Ensure the tool was trained using publicly available content.
  B. Obtain a representation from the Al provider on how the tool works.
  C. Provide a log of the prompts the artist used to generate the images.
  D. Update the images in a creative way to demonstrate that it is the artist's.
  D. Update the images in a creative way to demonstrate that it is the artist's.

• Question 76:

  Why is it important that conformity requirements are satisfied before an AI system is released into production?

  A. To ensure the visual design is fit-for-purpose.
  B. To ensure the AI system is easy for end-users to operate.
  C. To guarantee interoperability of the AI system across multiple platforms and environments.
  D. To comply with legal and regulatory standards, ensuring the AI system is safe and trustworthy.
  D. To comply with legal and regulatory standards, ensuring the AI system is safe and trustworthy.

• Question 77:

  Which of the following is an obligation of an importer of high-risk AI systems under the EU AI Act?

  A. Provide technical documentation.
  B. Affix the CE marking.
  C. Verify the Declaration of Conformity.
  D. Conduct a data protection impact assessment.
  C. Verify the Declaration of Conformity.

• Question 78:

  A US company has developed an Al system, CrimeBuster 9619, that collects information about incarcerated individuals to help parole boards predict whether someone is likely to commit another crime if released from prison. When considering expanding to the EU market, this type of technology would?

  A. Require the company to register the tool with the EU database.
  B. Be subject approval by the relevant EU authority.
  C. Require a detailed conformity assessment.
  D. Be banned under the EU Al Act.
  D. Be banned under the EU Al Act.

• Question 79:

  CASE STUDY

  A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries. The marketing agency is accessing the LLM through an application programming interface ("API") developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight

  the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance. The marketing company has:

  1.

  Entered into a contract with the technology company with suitable representations and warranties.

  2.

  Completed an impact assessment on the LLM for this intended use.

  3.

  Built technical guidance on how to measure and mitigate bias in the LLM.

  4.

  Enabled technical aspects of transparency, explainability, robustness and privacy.

  5.

  Followed applicable regulatory requirements.

  6.

  Created specific legal statements and disclosures regarding the use of the Al on its client's advertising.

  The technology company has:

  1.

  Provided guidance and resources to developers to address environmental concerns.

  2.

  Build technical guidance on how to measure and mitigate bias in the LLM.

  3.

  Provided tools and resources to measure bias specific to the LLM.

  4.

  Enabled technical aspects of transparency, explainability, robustness and privacy.

  5.

  Mapped and mitigated potential societal harms and large-scale impacts. ?Followed applicable regulatory requirements and industry standards.

  6.

  Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.

  The technology company has also addressed environmental concerns and societal harms.

  Which of the following results would be considered biased outputs from this AI system EXCEPT?

  A. The generated ads are sent to construction companies, not individual workers
  B. The content generated for minority construction workers is insufficient
  C. The images of female workers are hyper-sexualized
  D. The advertising text generated for female audiences focuses on color and style
  A. The generated ads are sent to construction companies, not individual workers

• Question 80:

  Scenario:

  A European AI technology company was found to be non-compliant with certain provisions of the EU AI Act. The regulator is considering penalties under the enforcement provisions of the regulation.

  According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to 15 million or 3% of annual worldwide turnover(whichever is higher)?

  A. In case of AI Act prohibitions
  B. In case of breach of a provider's obligations for high-risk AI systems
  C. In case of the supply of misleading information to notified bodies in reply to a request
  D. In case of a breach of AI Act prohibition by the Union institutions, bodies, offices and agencies
  B. In case of breach of a provider's obligations for high-risk AI systems