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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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.

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CompTIA Data+ Exam Sample Questions (Q71-Q76):

NEW QUESTION # 71
A data analyst is gathering data from multiple tables in a database. The analyst needs certain columns from each table. Which of the following is the best method to accomplish this task?

A. Join
B. Aggregate
C. Union
D. Nest

Answer: A

Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on combining data from multiple tables. The analyst needs specific columns from each table, suggesting a method to combine data horizontally based on relationships.
* Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining columns from tables.
* Union (Option B): Union stacks tables vertically, requiring identical structures, but the analyst needs specific columns, likely based on relationships, not a vertical stack.
* Nest (Option C): Nesting is used for hierarchical data (e.g., JSON), not for combining relational tables.
* Join (Option D): A join (e.g., INNER JOIN) combines tables horizontally based on a common key, allowing the analyst to select specific columns from each table, which fits the task.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and joining tables is the best method for combining specific columns from multiple tables.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 72
Which of the following best represents a type of infrastructure that requires a company to purchase and maintain all of its own servers?

A. Public
B. Hybrid
C. Private
D. Cloud

Answer: C

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on types of server infrastructure. The task is to identify an infrastructure where a company owns and maintainsall servers.
* Private (Option A): A private infrastructure (often on-premises) means the company owns and maintains its own servers, typically in a private data center, which matches the requirement.
* Cloud (Option B): Cloud infrastructure is managed by third-party providers, not owned by the company.
* Hybrid (Option C): Hybrid combines on-premises and cloud, so not all servers are owned by the company.
* Public (Option D): Public infrastructure is a cloud model shared across multiple organizations, not owned by the company.
The DA0-002 Data Concepts and Environments domain includes understanding "data environments," and a private infrastructure requires the company to purchase and maintain its own servers.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 73
Which of the following data repositories stores unaltered data?

A. Data warehouse
B. Data table
C. Data factory
D. Data lake

Answer: D

Explanation:
A data lake stores raw, unaltered data in its native format, including structured, semi-structured, and unstructured data. This allows organizations to retain data as originally collected and transform it later when needed for analysis.

NEW QUESTION # 74
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 UNION SELECT * FROM Managers
B. SELECT * FROM Employees JOIN SELECT * FROM Managers
C. SELECT * FROM Employees UNION ALL SELECT * FROM Managers
D. SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers

Answer: A

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 # 75
A data analyst is designing a report for the business review team. The team lists the following requirements for the report:
- Specific data points
- Color branding
- Labels and terminology
- Suggested charts and tables
Which of the following components is missing from the requirements?

A. Report type
B. Design elements
C. Delivery method
D. Source validation

Answer: C

Explanation:
The requirements cover content and design aspects but do not specify how the report will be delivered, such as format, platform, or distribution method, which is essential for completing the report requirements.

NEW QUESTION # 76
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