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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA DataAI Certification Exam (V1) |
| Exam Number: | DY0-001 |
| Passing Score: | Pass/Fail (no scaled score) |
| Exam Duration: | 165 minutes |
| Certificate Validity Period: | Approximately 3 years from launch (retirement expected around 2027) |
| Real Exam Qty: | Up to 90 |
| Exam Format: | Multiple-choice, Performance-based questions |
| Related Certifications: | CompTIA DataX |
| Available Languages: | Japanese, English |
| Recommended Training: | CompTIA CertMaster Learn (DataAI) CompTIA Official Training Partners |
| Exam Registration: | CompTIA DataAI Official Page Pearson VUE CompTIA Registration |
| Sample Questions: | ![]() |
| Exam Way: | Test center or online proctored exam (Pearson VUE) |
| Pre Condition: | Recommended: 5+ years experience in data science, analytics, or related technical roles |
| Official Syllabus URL: | https://www.comptia.org/en-us/certifications/dataai/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Specialized Applications of Data Science | 13% | - Optimization and Advanced Methods
|
| Topic 2: Modeling, Analysis, and Outcomes | 24% | - Exploratory Data Analysis (EDA)
|
| Topic 3: Mathematics and Statistics | 17% | - Statistical Methods
|
| Topic 4: Operations and Processes | 22% | - Business Context
|
| Topic 5: Machine Learning | 24% | - Tree-Based Models
|
The DY0-001 exam, officially titled CompTIA DataAI Certification Exam, is the qualifying test for the CompTIA DataAI certification from CompTIA, a credential at the Expert level. Passing it proves you have the skills employers look for in certified professionals, and it can also support progress toward related credentials such as CompTIA DataX.
The CompTIA DataAI Certification exam gives you 165 minutes to work through Up to 90 questions. That is a steady pace with little room for second-guessing, so train yourself to read each question once, flag the difficult ones, and keep moving. Before exam day, sit at least two full timed sessions in the ValidBraindumps test engine — when the clock feels familiar, it stops being a threat.
Recommended: 5+ years experience in data science, analytics, or related technical roles Eligibility rules can change over time, so before you register, confirm the latest requirements on the official exam page: CompTIA DY0-001 exam overview.
You can book your DY0-001 exam through any of these official registration channels:
The exam is delivered as Test center or online proctored exam (Pearson VUE), so you can pick the option that fits your schedule when you book.
CompTIA recommends the following training for CompTIA DataAI Certification candidates:
Pair that training with the 85 practice questions from ValidBraindumps and you can check your readiness topic by topic before exam day.
Yes. ValidBraindumps offers a free PDF demo for the CompTIA DataAI Certification exam so you can judge the quality of our questions and answers before paying anything. Every purchase also comes with 365 days of free updates, and once that period expires you can extend your update service at a 50% discount.
Your purchase is protected by a 100% money-back guarantee. If you sit the corresponding DY0-001 exam within 60 days of buying and do not pass, send us a scan of your exam enrollment slip together with your official Score Report (PDF) within 2 days of the exam date — the candidate name must match the payer's name — and we will process your full refund within 7 days. Please note that exams taken within 3 days of purchase, materials downloaded without ever sitting the exam, free products, and expired orders are not covered. If you would rather not have a refund, you can exchange your order for two exam products of equal value, free of charge, and keep the update service on your original purchase.
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The CompTIA DataAI Certification syllabus is organized into 5 domains. The main areas include Modeling, Analysis, and Outcomes (24%), Mathematics and Statistics (17%), and Machine Learning (24%). Scroll up to the Exam Topics section above for the complete, current outline before you plan your study schedule.
A data scientist needs to:
Build a predictive model that gives the likelihood that a car will get a flat tire.
Provide a data set of cars that had flat tires and cars that did not.
All the cars in the data set had sensors taking weekly measurements of tire pressure similar to the sensors that will be installed in the cars consumers drive. Which of the following is the most immediate data concern?
Correct Answer: A 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
Which of the following problem-solving approaches is a set of guidelines to handle highly variable and not fully apparent situations?
Correct Answer: B 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
Which of the following best describes the minimization of the residual term in a LASSO linear regression?
Correct Answer: C 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
Which of the following does k represent in the k-means model?
Correct Answer: A 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
A data analyst wants to save a newly analyzed data set to a local storage option. The data set must meet the following requirements:
Which of the following file types is the best to use?
Correct Answer: D 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
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