CompTIA DY0-001 : CompTIA DataAI Certification Exam

  • Exam Code: DY0-001
  • Exam Name: CompTIA DataAI Certification Exam
  • Updated: Oct 12, 2026
  • Q & A: 85 Questions and Answers

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CompTIA DY0-001 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Mathematics and Statistics: This section of the exam measures skills of a Data Scientist and covers the application of various statistical techniques used in data science, such as hypothesis testing, regression metrics, and probability functions. It also evaluates understanding of statistical distributions, types of data missingness, and probability models. Candidates are expected to understand essential linear algebra and calculus concepts relevant to data manipulation and analysis, as well as compare time-based models like ARIMA and longitudinal studies used for forecasting and causal inference.
Topic 2
  • Operations and Processes: This section of the exam measures skills of an AI
  • ML Operations Specialist and evaluates understanding of data ingestion methods, pipeline orchestration, data cleaning, and version control in the data science workflow. Candidates are expected to understand infrastructure needs for various data types and formats, manage clean code practices, and follow documentation standards. The section also explores DevOps and MLOps concepts, including continuous deployment, model performance monitoring, and deployment across environments like cloud, containers, and edge systems.
Topic 3
  • Modeling, Analysis, and Outcomes: This section of the exam measures skills of a Data Science Consultant and focuses on exploratory data analysis, feature identification, and visualization techniques to interpret object behavior and relationships. It explores data quality issues, data enrichment practices like feature engineering and transformation, and model design processes including iterations and performance assessments. Candidates are also evaluated on their ability to justify model selections through experiment outcomes and communicate insights effectively to diverse business audiences using appropriate visualization tools.
Topic 4
  • Specialized Applications of Data Science: This section of the exam measures skills of a Senior Data Analyst and introduces advanced topics like constrained optimization, reinforcement learning, and edge computing. It covers natural language processing fundamentals such as text tokenization, embeddings, sentiment analysis, and LLMs. Candidates also explore computer vision tasks like object detection and segmentation, and are assessed on their understanding of graph theory, anomaly detection, heuristics, and multimodal machine learning, showing how data science extends across multiple domains and applications.
Topic 5
  • Machine Learning: This section of the exam measures skills of a Machine Learning Engineer and covers foundational ML concepts such as overfitting, feature selection, and ensemble models. It includes supervised learning algorithms, tree-based methods, and regression techniques. The domain introduces deep learning frameworks and architectures like CNNs, RNNs, and transformers, along with optimization methods. It also addresses unsupervised learning, dimensionality reduction, and clustering models, helping candidates understand the wide range of ML applications and techniques used in modern analytics.

Reference: https://www.comptia.org/en-us/certifications/dataai/

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CompTIA DataAI Certification Sample Questions:

Question #1

Which of the following compute delivery models allows packaging of only critical dependencies while developing a reusable asset?

  • A. Thin clients
  • B. Edge devices
  • C. Containers
  • D. Virtual machines
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

The following graphic shows the results of an unsupervised, machine-learning clustering model:

k is the number of clusters, and n is the processing time required to run the model. Which of the following is the best value of k to optimize both accuracy and processing requirements?

  • A. 15
  • B. 20
  • C. 2
  • D. 10
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

A data scientist observes findings that indicate that as electrical grids in a country become more and more connected over time, the frequency of brownouts and blackouts in total decrease, and the frequency of major brownouts and blackouts increase. Which of the following distribution metrics could best be identified?

  • A. Skewness
  • B. Kurtosis
  • C. Scale axis magnitudes
  • D. Normality
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

An analyst wants to show how the component pieces of a company's business units contribute to the company's overall revenue. Which of the following should the analyst use to best demonstrate this breakdown?

  • A. Scatter plot matrix
  • B. Residual chart
  • C. Box-and-whisker chart
  • D. Sankey diagram
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

Under perfect conditions, E. coli bacteria would cover the entire earth in a matter of days. Which of the following types of models is the best for explaining this type of growth?

  • A. Polynomial
  • B. Linear
  • C. Exponential
  • D. Logarithmic
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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