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Last Updated: Jul 21, 2026
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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
|
Objectives of CompTIA DA0-001 Exam
In this section, we will list the objectives you should know in order to pass your CompTIA Data+ certification exam.
The first objective is to understand how to become a successful IT professional with data skills.
The second objective is to learn about different types of data, including structured and unstructured data.
The third objective is to be able to demonstrate your knowledge of at least two types of data storage: online and offline.
The fourth objective is to be able to describe how a client can access information from various sources through technology such as social media or the web. CompTIA DA0-001 exam dumps he best way to prepare for the exams.
The fifth objective is for you to be able to apply concepts related to using software applications such as Microsoft Office suite, Google Docs, and Adobe Creative Cloud.
CompTIA Data+ Exam Certification Details:
| Number of Questions | 90 |
| Exam Name | CompTIA Data+ |
| Schedule Exam | Pearson VUE |
| Passing Score | 675 / 900 |
| Sample Questions | CompTIA Data+ Sample Questions |
| Duration | 90 mins |
| Exam Price | $239 (USD) |
| Exam Code | DA0-001 |
| Books / Training | CompTIA Data+ Certification Training |
Understanding CompTIA DA0-001 Exam Topics
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Visualizing and reporting data
Mining data
Manipulating data
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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CompTIA DA0-001日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 23% | - Building dashboards and reports - Selecting appropriate visualizations and charts - Design principles and best practices - Communicating insights and recommendations |
| Topic 2: Data Governance, Quality and Controls | 14% | - Data governance frameworks and policies - Data privacy, security, and compliance - Data lifecycle management and controls - Data quality standards and measurement |
| Topic 3: Data Mining | 25% | - Querying and retrieving data - Data profiling, cleansing, and validation - Data transformation, manipulation, and enrichment - Data acquisition and integration methods |
| Topic 4: Data Concepts and Environments | 15% | - Structured, semi-structured, and unstructured data - Data schemas, dimensions, and attributes - Data types, structures, and formats - Data storage systems: databases, data marts, warehouses, data lakes |
| Topic 5: Data Analysis | 23% | - Interpreting results and identifying patterns/anomalies - Analytical techniques: trend, performance, exploratory, comparative - Descriptive and inferential statistics - Statistical methods: correlation, regression, hypothesis testing |
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