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CompTIA DA0-002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Governance, Quality, and Controls16%- Data governance frameworks
  • 1. Compliance requirements (GDPR, CCPA, etc.)
  • 2. Policies, standards, and procedures
  • 3. Data stewardship and ownership
- Data quality management
  • 1. Quality dimensions (accuracy, completeness, consistency)
  • 2. Quality assessment and monitoring
  • 3. Remediation strategies
- Security and privacy
  • 1. Audit trails and logging
  • 2. Data classification and protection
  • 3. Foundational AI considerations in data lifecycle
  • 4. Access controls and encryption
Topic 2: Visualization15%- Dashboard and report design
  • 1. Dashboard components and layout
  • 2. Chart types and their applications
  • 3. Visualization best practices
- Storytelling with data
  • 1. Narrative techniques for data communication
  • 2. Audience-appropriate visuals
  • 3. Executive summaries and key insights
Topic 3: Data Mining25%- Data preparation and cleansing
  • 1. Data normalization and transformation
  • 2. Handling missing values and duplicates
  • 3. Data cleaning techniques
- Data enrichment and integration
  • 1. Data mapping and lineage
  • 2. Derived columns and calculated fields
  • 3. Joining and merging datasets
- Data acquisition and collection
  • 1. ETL/ELT processes
  • 2. APIs and connectors
  • 3. Data sources and ingestion methods
Topic 4: Data Concepts and Environments20%- Data types and metadata
  • 1. Metadata and its role in data management
  • 2. Data types (string, numeric, Boolean, date)
- Data structures and formats
  • 1. Common data formats (JSON, XML, CSV)
  • 2. Structured, semi-structured, and unstructured data
  • 3. File types and their use cases
- Database fundamentals
  • 1. Schemas and data models
  • 2. Relational vs. non-relational databases
  • 3. Cloud and containerized data environments
Topic 5: Data Analysis24%- Descriptive statistics
  • 1. Data distributions
  • 2. Measures of dispersion
  • 3. Measures of central tendency
- Inferential statistics
  • 1. Confidence intervals
  • 2. Correlation and regression basics
  • 3. Hypothesis testing
- Analysis tools and techniques
  • 1. SQL for data analysis
  • 2. Libraries and functions for analysis
  • 3. BI platforms and notebooks

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CompTIA Data+ Exam Sample Questions (Q139-Q144):

NEW QUESTION # 139
Which of the following best describes the semi-structured data that is gathered when web scraping?

Answer: B


NEW QUESTION # 140
A data analyst needs to remove all duplicate values between two tables, "Employees" and "Managers," using SQL SELECT statements. Which of the following should the analyst use for this task?

Answer: D

Explanation:
This question pertains to theData Acquisition and Preparationdomain, focusing on combining and deduplicating data using SQL. The task is to remove duplicates between two tables, meaning the analyst needs a unique set of records from both.
* SELECT * FROM Employees UNION ALL SELECT * FROM Managers (Option A): UNION ALL combines all rows from both tables, including duplicates, which doesn't meet the requirement.
* SELECT * FROM Employees UNION SELECT * FROM Managers (Option B): UNION combines rows from both tables and automatically removes duplicates, providing a unique set of records, which fits the task.
* SELECT * FROM Employees JOIN SELECT * FROM Managers (Option C): This syntax is incorrect; a JOIN requires an ON clause, and it wouldn't remove duplicates.
* SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers (Option D): A CROSS JOIN creates a Cartesian product, resulting in all possible combinations, not removing duplicates.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and UNION is the correct SQL operation for combining tables while removing duplicates.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


NEW QUESTION # 141
A data analyst creates a report about the time that elapses between sequential events. The data set has several rows with negative integers in the elapsed time column. Which of the following is the best way to address this issue?

Answer: C

Explanation:
The presence of negative elapsed times suggests a potential data quality issue, such as incorrect event ordering, timestamp errors, or data entry problems. The best approach is to validate the data set before analysis to determine the cause of the negative values and ensure the data is accurate and reliable.


NEW QUESTION # 142
Which of the following best explains the purpose of data lineage?

Answer: B

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on the purpose of data lineage. Data lineage involves tracking the lifecycle of data.
* To see the steps and path of data flow through different systems (Option A): This describes a data flow diagram, not data lineage, which focuses on transformations rather than just flow.
* To better understand the granularity of data variable relationships (Option B): This relates to data modeling, not the purpose of data lineage.
* To track data transformations from acquisition through reporting (Option C): Data lineage tracks the journey of data, including transformations (e.g., cleaning, aggregation) from its source to its final use in reporting, which is its primary purpose.
* To look up data definitions, ensuring consistent use across business units (Option D): This describes a data dictionary, not data lineage.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data lineage specifically tracks transformations across the data lifecycle.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 143
Before distributing a report, a marketing analyst notices that the total distinct promotional email messages is less than the combined total of emails sent. Which of the following is the most likely reason for this difference?

Answer: B


NEW QUESTION # 144
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