DY0-001: CompTIA DataAI

By CompTIA · Browse Mode
About the Exam

CompTIA DataAI (DY0-001) is a certification for senior data analysts, data scientists, data engineers, and other IT professionals who work with analytics, cloud platforms, and AI-enabled tools. It covers mathematics and statistics, modeling and analysis, machine learning, operations and processes, and specialized applications of data science. Passing demonstrates the ability to design, deploy, and operate AI-driven data solutions responsibly and at scale.

Exam Topics

  • Mathematics and Statistics17%
  • Modeling, Analysis, and Outcomes24%
  • Machine Learning24%
  • Operations and Processes22%
  • Specialized Applications of Data Science13%

How to Use This Practice Exam

  1. Browse — Read each question, select your answer, and reveal the explanation.
  2. Exam Mode — Simulate real exam conditions with a timed session and score report.
  3. Learn Mode — Spaced repetition schedules questions you struggle with for long-term retention.

Download the Full Exam PDF

Get every question and answer in a clean, printable PDF built for offline study. Purchase once, keep permanent access, and re-download the latest version anytime.

Get PDF
Learn More

Last updated July 10, 2026 at 7:26 PM

Topic filter
Retired questions
Question sort
Questions per page

QuestionQ1

Machine Learning

Which of the following machine-learning models uses a discriminator to assess the output of another neural network, then uses that assessment to improve its own output?

Explanation

A generative adversarial network (GAN) trains a generator alongside a discriminator. The discriminator distinguishes generated output from real data, and the generator improves by learning from the discriminator’s feedback.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ2

Modeling, Analysis, and Outcomes

Which layer set contains the minimum three layers needed to form an artificial neural network?

Explanation

The minimum conventional architecture of an artificial neural network includes an input layer, one or more hidden layers for learned feature transformations, and an output layer that produces the model’s result. Convolutional, pooling, and dropout layers are optional specialized layers.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ3

Operations and Processes

Which deployment type is most appropriate for a large corporation chiefly seeking scalable, on-demand capabilities?

Explanation

Cloud deployment provides on-demand access to scalable computing resources, allowing an organization to increase or decrease capacity as required.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ4

Operations and Processes

Given the following business requirements:

  • Must move 3,000 boxes across a river as efficiently as possible
  • Has one boat that carries eight boxes, travels at ten nautical miles per hour, and achieves six nautical miles per gallon
  • Has another boat that carries two boxes, travels at 50 nautical miles per hour, and achieves 18 nautical miles per gallon
  • The river is one nautical mile wide
  • The data scientist has access to only 125 gallons of fuel

Which of the following optimization techniques would a data scientist most likely apply?

Explanation

Constrained optimization is used when an objective, such as minimizing transport time or fuel use, must be optimized subject to limits on available resources. The 125-gallon fuel limit is an explicit constraint on the feasible transportation plan.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ5

Machine Learning

Which of these activation functions has a lower bound below zero?

Explanation

The hyperbolic tangent (tanh) activation function has an output range of −1 to 1, giving it a negative lower bound.

Community Discussion

No comments yet. Be the first to start the discussion!
Know a question that should be here? Contribute to this exam
Back home