COMPTIACompTIA Data+
CompTIA Data+ is an early-career data analytics certification that validates your ability to turn raw data into meaningful insights. It is ideal for professionals looking to analyze, interpret, and communicate data effectively to solve business problems and support data-driven decision-making.
513 practice questions · Updated 2023-10-01
5Domains
18Objectives
121Concepts
513Questions
DA0-001 Curriculum
Every domain, objective, and concept the DA0-001 exam measures.
- Relational Databases
- Non-relational Databases
- Hierarchical Data Structures
- Network Data Structures
- Flat File Structures
- CSV File Extension
- JSON File Extension
- XML File Extension
- Data Types
- Database Identification
- API Data Sources
- Website Data Extraction
- File Data Sources
- Log Data Utilization
- Repository Data Access
- Cloud Computing
- On-Premise Infrastructure
- Data Storage Solutions
- Containerization
- Coding Environments Overview
- Popular Coding Environments
- BI Software Functionality
- Common BI Tools
- Analysis Platforms
- Comparison of Data Tools
- AI Models
- Natural Language Processing
- Robotic Process Automation
- Data Integration Techniques
- SQL Queries for Data Gathering
- ETL Processes
- Data Source Identification
- Data Transformation
- Data Cleansing
- Data Mapping
- Data Validation
- APIs for Data Acquisition
- Data Blending
- Identify Missing Values
- Handle Missing Values
- Detect Duplicate Records
- Resolve Duplicates
- Identify Redundancy
- Eliminate Redundancy
- Identify Outliers
- Manage Outliers
- Data Cleansing
- Data Merging
- Data Parsing
- Data Formatting
- Audience Identification
- Communication Methods
- Data Visualization Techniques
- Simplifying Complex Data
- Technical vs Non-Technical Communication
- Feedback Mechanisms
- Descriptive Statistics
- Inferential Statistics
- Probability Distributions
- Hypothesis Testing
- Correlation and Regression
- Data Visualization
- Identify Analysis Tools
- Utilize Data Analysis Software
- Leverage Online Resources
- Apply Problem-Solving Techniques
- Interpret Error Messages
- Use Data Visualization Tools
- Collaborate with Team Members
- Chart Selection
- Map Utilization
- Table Design
- Design Elements
- Dashboard Design Principles
- Data Visualization Techniques
- Summary Report Creation
- Dashboard Tools and Software
- Interactive Dashboard Features
- Report Customization
- Data Source Integration
- Performance Metrics Selection
- Report Distribution Methods
- Data Storytelling
- Understand Data Validation
- Identify Common Reporting Errors
- Apply Data Validation Techniques
- Review Data Sources
- Perform Data Consistency Checks
- Use Automated Validation Tools
- Document Validation Processes
- Resolve Reporting Discrepancies
- Implement Feedback Loops
- Data Documentation
- Version Control
- Data Lineage
- Documentation Standards
- Versioning Tools
- Lineage Tracking Tools
- Impact of Poor Documentation
- Data Change Management
- Data Retention Policies
- Data Retention Schedules
- Audit Processes
- Regulatory Compliance
- Data Retention Regulations
- Audit Documentation
- Access Control Mechanisms
- Role-Based Access Control (RBAC)
- Encryption Techniques
- Data Masking Methods
- Symmetric vs Asymmetric Encryption
- Access Control Policies
- Encryption Key Management
- Dynamic Data Masking
- Data Profiling Techniques
- Data Quality Dimensions
- Data Monitoring Tools
- Data Quality Testing Methods
- Data Quality Metrics
- Data Quality Issue Identification
- Data Quality Improvement Strategies
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for DA0-001, so none is invented.