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Free IAPP AIGP Exam Questions (page: 4)

Page 4 of 34
PDF with 164 Questions

Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

  1. Segmentation.
  2. Generative Al.
  3. Expert systems.
  4. Supervised learning.

Answer(s): D

Explanation:

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).



A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects.
What type of Al is this technology classified as?

  1. Deductive inference.
  2. Multi-modal model.
  3. Transformative Al.
  4. Expert system.

Answer(s): B

Explanation:

A multi-modal model is an AI system that can process and analyze multiple types of data, such as text, video, images, and sound. This type of AI integrates different data sources to enhance its understanding and decision-making capabilities. In the given scenario, the AI technology that tags content including names of animals, humans, and objects falls under this category.


Reference:

AIGP BODY OF KNOWLEDGE, which outlines the capabilities and use cases of multi-modal models.



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?

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

Answer(s): C

Explanation:

Autoregression is not a common optimization technique in deep learning to determine weights for artificial neurons. Common techniques include gradient descent, momentum, and backpropagation.

Autoregression is more commonly associated with time-series analysis and forecasting rather than neural network optimization.


Reference:

AIGP BODY OF KNOWLEDGE, which discusses common optimization techniques used in deep learning.



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

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

Answer(s): A

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.



Which of the following best defines an "Al model"?

  1. A system that applies defined rules to execute tasks.
  2. A system of controls that is used to govern an Al algorithm.
  3. A corpus of data which an Al algorithm analyzes to make predictions.
  4. A program that has been trained on a set of data to find patterns within the data.

Answer(s): D

Explanation:

An AI model is best defined as a program that has been trained on a set of data to find patterns within that data. This definition captures the essence of machine learning, where the model learns from the data to make predictions or decisions.


Reference:

AIGP BODY OF KNOWLEDGE, which provides a detailed explanation of AI models and their training processes.



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