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CompTIA Data+ Certification : DA0-001
- Exam Code: DA0-001
- Exam Name: CompTIA Data+ Certification Exam
- Updated: Jul 23, 2026
- Q & A: 398 Questions and Answers
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About CompTIA DA0-001 Exam Braindumps
CompTIA DA0-001 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Data Concepts and Environments - 15% | |
| Identify basic concepts of data schemas and dimensions. | - Databases
- Data mart/data warehousing/data lake
- Schema concepts
- Slowly changing dimensions
|
| Compare and contrast different data types. | - Date - Numeric - Alphanumeric - Currency - Text - Discrete vs. continuous - Categorical/dimension - Images - Audio - Video |
| Compare and contrast common data structures and file formats. | - Structures
- Data file formats
|
Data Mining - 25% | |
| Explain data acquisition concepts. | - Integration
- Data collection methods
|
| Identify common reasons for cleansing and profiling datasets. | - Duplicate data - Redundant data - Missing values - Invalid data - Non-parametric data - Data outliers - Specification mismatch - Data type validation |
| Given a scenario, execute data manipulation techniques. | - Recoding data
- Derived variables |
| Explain common techniques for data manipulation and query optimization. | - Data manipulation
- Query optimization
|
Data Analysis - 23% | |
| Given a scenario, apply the appropriate descriptive statistical methods. | - Measures of central tendency Mean Median Mode - Measures of dispersion
- Frequencies/percentages |
| Explain the purpose of inferential statistical methods. | - t-tests - Z-score - p-values - Chi-squared - Hypothesis testing
- Simple linear regression |
| Summarize types of analysis and key analysis techniques. | - Process to determine type of analysis
- Type of analysis
|
| Identify common data analytics tools. | - Structured Query Language (SQL) - Python - Microsoft Excel - R - Rapid mining - IBM Cognos - IBM SPSS Modeler - IBM SPSS - SAS - Tableau - Power BI - Qlik - MicroStrategy - BusinessObjects - Apex - Dataroma - Domo - AWS QuickSight - Stata - Minitab |
Visualization - 23% | |
| Given a scenario, translate business requirements to form a report. | - Data content - Filtering - Views - Date range - Frequency - Audience for report
|
| Given a scenario, use appropriate design components for reports and dashboards. | - Report cover page
- Design elements
- Documentation elements
|
| Given a scenario, use appropriate methods for dashboard development. | - Dashboard considerations
- Development process
Delivery considerations
|
| Given a scenario, apply the appropriate type of visualization. | - Line chart - Pie chart - Bubble chart - Scatter plot - Bar chart - Histogram - Waterfall - Heat map - Geographic map - Tree map - Stacked chart - Infographic - Word cloud |
| Compare and contrast types of reports. | - Static vs. dynamic reports
- Ad-hoc/one-time report
- Tactical/research report |
Data Governance, Quality, and Controls - 14% | |
| Summarize important data governance concepts. | - Access requirements
- Security requirements
- Storage environment requirements
- Use requirements
- Entity relationship requirements
- Data classification
- Jurisdiction requirements
- Data breach reporting
|
| Given a scenario, apply data quality control concepts. | - Circumstances to check for quality
- Automated validation
- Data quality dimensions
- Data quality rule and metrics
- Methods to validate quality
|
| Explain master data management (MDM) concepts. | - Processes
- Circumstances for MDM
|
Able to participate in the exam after 20 or 30 hours' practice
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What are the steps to follow for the registration for the CompTIA DA0-001 Exam
Go to the official website of CompTIA Data+ and click on the “Register” button.
Fill in all the required fields in the registration form and click on “Submit”.
A confirmation email will be sent to you, which contains a link to activate your account and a link to print your exam voucher (you can also opt for an alternative method of delivery).
Go through your exam voucher and note down all the details mentioned on it, including: Exam ID, Exam Number, Date, Time & Location of test, Venue Phone Number (if applicable).
Take a printout of this voucher and carry it with you when appearing for your exam at the specified venue on that particular day/time window allotted by CompTIA to test centers worldwide
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
What are the advantages of obtaining CompTIA DA0-001 Certification
CompTIA Data+ is the most popular certification in the IT industry, and it is a great way to enter the field of IT. The CompTIA Data+ certification covers all aspects of data management, including how to manage data and its security and how to work with large volumes of data.
There are many advantages to obtaining this certification. It will give you a solid foundation in the field of IT and allow you to start working right away. Many companies prefer hiring people who have this certification because they know that they can trust them and they can trust their abilities. CompTIA DA0-001 exam dumps will enhance you skills.
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CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Governance, Quality and Controls | 14% | - Data lifecycle management and controls - Data privacy, security, and compliance - Data quality standards and measurement - Data governance frameworks and policies |
| Data Concepts and Environments | 15% | - Data storage systems: databases, data marts, warehouses, data lakes - Data schemas, dimensions, and attributes - Structured, semi-structured, and unstructured data - Data types, structures, and formats |
| Data Mining | 25% | - Data profiling, cleansing, and validation - Data acquisition and integration methods - Querying and retrieving data - Data transformation, manipulation, and enrichment |
| Data Analysis | 23% | - Statistical methods: correlation, regression, hypothesis testing - Interpreting results and identifying patterns/anomalies - Descriptive and inferential statistics - Analytical techniques: trend, performance, exploratory, comparative |
| Visualization and Reporting | 23% | - Building dashboards and reports - Design principles and best practices - Communicating insights and recommendations - Selecting appropriate visualizations and charts |
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