CompTIA DY0-001 - CompTIA DataAI Certification Exam
- Exam Code: DY0-001
- Exam Name: CompTIA DataAI Certification Exam
- Updated: Sep 18, 2026
- Q & A: 85 Questions and Answers
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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA DataAI Certification Exam |
| Exam Number: | DY0-001 |
| Exam Duration: | 165 minutes |
| Available Languages: | English, Japanese |
| Passing Score: | Pass/Fail (no numerical score) |
| Real Exam Qty: | Up to 90 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice, Performance-Based Questions (PBQs) |
| Exam Price: | $544 USD |
| Related Certifications: | CompTIA AI Essentials CompTIA Data+ |
| Recommended Training: | CompTIA CertMaster Learn for DataAI CompTIA Official Study Guide |
| Exam Registration: | CompTIA Official Registration Pearson VUE Scheduling |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or in-person at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended 5+ years of experience in data science, analytics, or related fields |
| Official Syllabus URL: | https://www.comptia.org/certifications/dataai |
| Section | Weight | Objectives |
|---|---|---|
| Mathematics and Statistics | 17% | - Statistical inference and hypothesis testing - Calculus and optimization concepts - Bayesian reasoning and modeling - Probability theory and distributions - Linear algebra fundamentals |
| Operations and Processes | 22% | - Data pipeline design and maintenance - Version control and reproducibility - Model deployment and monitoring - Security and compliance in data operations - Data governance and quality management |
| Modeling, Analysis, and Outcomes | 24% | - Model selection and evaluation metrics - Data preparation and exploratory data analysis - Feature engineering and selection - Result interpretation and business communication - Predictive and prescriptive analytics |
| Machine Learning | 24% | - Hyperparameter tuning and optimization - Deep learning fundamentals - Supervised, unsupervised, and reinforcement learning - Algorithm selection and implementation - Ethics and bias in machine learning |
| Specialized Applications of Data Science | 13% | - Time-series analysis - Industry-specific analytics use cases - Natural Language Processing (NLP) - Anomaly detection and signal processing - Computer Vision |
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The CompTIA DataAI Certification blueprint covers these principal domains:
The remaining domains appear in the full official outline, all of which our bank addresses.
As of the latest information, the passing score for the DY0-001 exam is Pass/Fail (no numerical score) and the fee is $544 USD. CompTIA can revise both, so confirm the current figures on the official site before registering.
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CompTIA recommends these official training options:
Pick the course matching your experience, then reinforce it with regular question practice.
CompTIA lists the following prerequisites for the CompTIA DataAI Certification: No mandatory prerequisites; recommended 5+ years of experience in data science, analytics, or related fields.
Confirm the details on the official certification page before you book.
Per current exam information, the DY0-001 exam includes Up to 90 questions and allows 165 minutes minutes. Timed practice beforehand makes the format feel routine on the day.
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A data scientist is attempting to identify sentences that are conceptually similar to each other within a set of text files. Which of the following is the best way to prepare the data set to accomplish this task after data ingestion?
Correct Answer: B 🗳️
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A data scientist is merging two tables. Table 1 contains employee IDs and roles. Table 2 contains employee IDs and team assignments. Which of the following is the best technique to combine these data sets?
Correct Answer: C 🗳️
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A data scientist has constructed a model that meets the minimum performance requirements specified in the proposal for a prediction project. The data scientist thinks the model's accuracy should be improved, but the proposed deadline is approaching. Which of the following actions should the data scientist take first?
Correct Answer: C 🗳️
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A model's results show increasing explanatory value as additional independent variables are added to the model. Which of the following is the most appropriate statistic?
Correct Answer: A 🗳️
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Which of the following JOINS would generate the largest amount of data?
Correct Answer: D 🗳️
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