IAPP AIGP Online Practice Questions and Exam Preparation

IAPP AIGP Online Questions & Answers

• Question 21:

  All of the following types of testing can help evaluate the performance of a responsible Al system EXCEPT?

  A. Risk probability/severity.
  B. Adversarial robustness.
  C. Statistical sampling.
  D. Decision analysis.
  A. Risk probability/severity.

• Question 22:

  Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?

  A. The marketing agency.
  B. The tech company.
  C. The data aggregator.
  D. The marketing agency's client.
  C. The data aggregator.

• Question 23:

  Retrieval-Augmented Generation (RAG) is defined as?

  A. Combining LLMs with private knowledge bases to improve their outputs.
  B. Reducing computational processing requirements of the LLMs.
  C. Applying advanced filtering techniques to the LLMs.
  D. Fine tuning LLMs to minimize biased outputs.
  A. Combining LLMs with private knowledge bases to improve their outputs.

• Question 24:

  The planning phase of the Al life cycle articulates all of the following EXCEPT the?

  A. Objective of the model.
  B. Approach to governance.
  C. Choice of the architecture.
  D. Context in which the model will operate.
  B. Approach to governance.

• Question 25:

  Training data is best defined as a subset of data that is used to?

  A. Enable a model to detect and learn patterns.
  B. Fine-tune a model to improve accuracy and prevent overfitting.
  C. Detect the initial sources of biases to mitigate prior to deployment.
  D. Resemble the structure and statistical properties of production data.
  A. Enable a model to detect and learn patterns.

• Question 26:

  CASE STUDY Please use the following answer the next question: A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review

  of all imaging and then route records a radiologist for secondary review pursuant Agreed-upon criteria (e.g., a confidence score below a threshold).

  To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project. The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical

  research partner.

  The most significant risk from combining the healthcare network's existing data with the clinical research partner data is?

  A. Privacy risk.
  B. Security risk.
  C. Operational risk.
  D. Reputational risk.
  A. Privacy risk.

• Question 27:

  According to the GDPR, an individual has the right to have a human confirm or replace an automated decision unless that automated decision?

  A. Is authorized with the data subject s explicit consent.
  B. Is authorized by applicable Ell law and includes suitable safeguards.
  C. Is deemed to solely benefit the individual and includes documented legitimate interests.
  D. Is necessary for entering into or performing under a contract between the data subject and data controller.
  A. Is authorized with the data subject s explicit consent.

• Question 28:

  During the planning and design phases of the Al development life cycle, bias can be reduced by all of the following EXCEPT?

  A. Stakeholder involvement.
  B. Feature selection.
  C. Human oversight.
  D. Data collection.
  B. Feature selection.

• Question 29:

  What is the primary purpose of conducting ethical red-teaming on an Al system?

  A. To improve the model's accuracy.
  B. To simulate model risk scenarios.
  C. To identify security vulnerabilities.
  D. To ensure compliance with applicable law.
  B. To simulate model risk scenarios.

• Question 30:

  What is the technique to remove the effects of improperly used data from an ML system?

  A. Data cleansing.
  B. Model inversion.
  C. Data de-duplication.
  D. Model disgorgement.
  D. Model disgorgement.