PDF Version DemoThe CompTIA DataAI Certification exam has a reputation for breadth, and many candidates underestimate how much ground it covers. Getcertkey closes those gaps with 85 practice questions that reflect the style and difficulty you can expect in 2026.
CompTIA DY0-001 Exam Overview:
| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA DataAI Certification Exam |
| Exam Number: | DY0-001 |
| Real Exam Qty: | Up to 90 |
| Exam Format: | Performance-Based Questions (PBQs), Multiple Choice |
| Exam Duration: | 165 minutes |
| Exam Price: | $544 USD |
| Related Certifications: | CompTIA Data+ CompTIA AI Essentials |
| Certificate Validity Period: | 3 years |
| Passing Score: | Pass/Fail (no numerical score) |
| Available Languages: | Japanese, English |
| Recommended Training: | CompTIA Official Study Guide CompTIA CertMaster Learn for DataAI |
| Exam Registration: | Pearson VUE Scheduling CompTIA Official Registration |
| 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 |
CompTIA DY0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Specialized Applications of Data Science | 13% | - Industry-specific analytics use cases - Anomaly detection and signal processing - Natural Language Processing (NLP) - Time-series analysis - Computer Vision |
| Topic 2: Mathematics and Statistics | 17% | - Bayesian reasoning and modeling - Calculus and optimization concepts - Linear algebra fundamentals - Statistical inference and hypothesis testing - Probability theory and distributions |
| Topic 3: Operations and Processes | 22% | - Version control and reproducibility - Data governance and quality management - Model deployment and monitoring - Security and compliance in data operations - Data pipeline design and maintenance |
| Topic 4: Modeling, Analysis, and Outcomes | 24% | - Model selection and evaluation metrics - Result interpretation and business communication - Predictive and prescriptive analytics - Data preparation and exploratory data analysis - Feature engineering and selection |
| Topic 5: Machine Learning | 24% | - Deep learning fundamentals - Ethics and bias in machine learning - Hyperparameter tuning and optimization - Algorithm selection and implementation - Supervised, unsupervised, and reinforcement learning |
Common Questions About the CompTIA DY0-001 Exam
What is the CompTIA DataAI Certification exam all about?
The DY0-001 exam is the official CompTIA exam behind the DataAI (formerly DataX) certification, validating the skills measured by the CompTIA DataAI Certification credential. It sits at the Expert level of the CompTIA certification program. It also connects to CompTIA Data+, CompTIA AI Essentials, so the knowledge you build here carries over to those tracks as well.
How many questions are on the DY0-001 exam, and how much time do I get?
The DY0-001 exam contains Up to 90 questions to be completed within 165 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the DY0-001 exam, and what does it cost?
The passing score for the DY0-001 exam is Pass/Fail (no numerical score), and the official registration fee is $544 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 85 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the DY0-001 exam?
No mandatory prerequisites; recommended 5+ years of experience in data science, analytics, or related fields Requirements can change when CompTIA revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the DY0-001 exam?
You can book the CompTIA DataAI Certification exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored or in-person at Pearson VUE test centers. Choose the option that suits you best when you book your seat.
What official training is recommended for the DY0-001 exam?
CompTIA recommends the following training resources for the CompTIA DataAI Certification exam:
Official courses build the foundation; the 85 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the DY0-001 practice questions before I buy?
Yes. Getcertkey provides a free DY0-001 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if CompTIA revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the DY0-001 exam, and how is my order delivered?
Every CompTIA DataAI Certification purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the DY0-001 exam?
The CompTIA DataAI Certification exam blueprint is organized into 5 domains. The first three are:
- Operations and Processes — 22% of the exam
- Modeling, Analysis, and Outcomes — 24% of the exam
- Machine Learning — 24% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
CompTIA DataAI Certification Sample Questions:
Question 1
A data scientist is performing a linear regression and wants to construct a model that explains the most variation in the dat a. Which of the following should the data scientist maximize when evaluating the regression performance metrics?
A. p value
B. R2
C. AUC
D. Accuracy
Question 2
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. Sankey diagram
B. Residual chart
C. Scatter plot matrix
D. Box-and-whisker chart
Question 3
Which of the following modeling tools is appropriate for solving a scheduling problem?
A. Decision tree
B. One-armed bandit
C. Gradient descent
D. Constrained optimization
Question 4
Which of the following is a key difference between KNN and k-means machine-learning techniques?
A. KNN is used for classification, while k-means is used for clustering.
B. KNN is used for finding centroids, while k-means is used for finding nearest neighbors.
C. KNN performs better with longitudinal data sets, while k-means performs better with survey data sets.
D. KNN operates exclusively on continuous data, while k-means can work with both continuous and categorical data.
Question 5
A data scientist wants to digitize historical hard copies of documents. Which of the following is the best method for this task?
A. Semantic segmentation
B. Optical character recognition
C. Word2vec
D. Latent semantic analysis
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: B |
1049 Customer Reviews
Quality and ValueGetCertKey Practice Exams are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development - no all study materials.
Tested and ApprovedWe are committed to the process of vendor and third party approvals. We believe professionals and executives alike deserve the confidence of quality coverage these authorizations provide.
Easy to PassIf you prepare for the exams using our GetCertKey testing engine, It is easy to succeed for all certifications in the first attempt. You don't have to deal with all dumps or any free torrent / rapidshare all stuff.
Try Before BuyGetCertKey offers free demo of each product. You can check out the interface, question quality and usability of our practice exams before you decide to buy.