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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
Topic 2	Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.
Topic 3	Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.
Topic 4	Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.

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CompTIA Data+ Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
A data analyst receives a report from a dashboard user stating that their report is taking longer than usual to load. The user needs five components for the dashboard. However, upon investigating, the analyst notices ten components that are attempting to load. Which of the following steps should the analyst take to correct this issue?

A. Check with the network team for stale network connections.
B. Check the refresh rate on the report server.
C. Check with administrators to review the logs of the report server.
D. Check the filters to include only the required information.

Answer: D

NEW QUESTION # 102
Which of the following best explains the purpose of data lineage?

A. To track data transformations from acquisition through reporting
B. To better understand the granularity of data variable relationships
C. To see the steps and path of data flow through different systems
D. To look up data definitions, ensuring consistent use across business units

Answer: A

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 # 103
Which of the following file types separates data using a delimiter?

A. HTML
B. XML
C. CSV
D. JSON

Answer: C

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on understanding file formats and their structures. The task is to identify a file type that uses delimiters to separate data.
* XML (Option A): XML uses tags to structure data, not delimiters.
* HTML (Option B): HTML is a markup language for web pages, not a data file format using delimiters.
* JSON (Option C): JSON uses key-value pairs and nested structures, not delimiters like commas.
* CSV (Option D): CSV (Comma-Separated Values) uses delimiters (typically commas) to separate data fields, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as file formats like CSV that use delimiters.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 104
The human resources department wants to know the number of employees who earn $125,000 or more. However, the department is concerned about duplicates in the data set. Given the following table:

Which of the following SQL statements resolves this issue?

A. SELECT COUNT(DISTINCT Employee_ID) FROM Employee WHERE Salary >= 125000
B. SELECT DISTINCT Employee_ID FROM Employee WHERE Salary >= 125000
C. SELECT DISTINCT Employee_ID FROM Employee WHERE Salary > 125000
D. SELECT COUNT(Employee_ID) FROM Employee WHERE Salary >= 125000

Answer: A

Explanation:
Counting distinct employee IDs removes duplicates while still restricting the result to employees whose salary is at least $125,000, which returns the number of unique employees meeting the requirement.

NEW QUESTION # 105
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?

A. SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers
B. SELECT * FROM Employees UNION ALL SELECT * FROM Managers
C. SELECT * FROM Employees UNION SELECT * FROM Managers
D. SELECT * FROM Employees JOIN SELECT * FROM Managers

Answer: C

Explanation:
UNION combines the results of two SELECT statements and automatically removes duplicate rows from the combined result set. This makes it the appropriate choice when the requirement is to eliminate all duplicate values between the Employees and Managers tables.

NEW QUESTION # 106
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