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CompTIA DA0-002 Exam Overview:

Certification Vendor:	CompTIA
Exam Name:	CompTIA Data+ Exam (2025)
Exam Number:	DA0-002
Exam Duration:	90 minutes
Available Languages:	English
Related Certifications:	CompTIA Data+
Real Exam Qty:	Up to 90
Exam Format:	Performance-based, Multiple-choice
Passing Score:	720 (scale of 100–900)
Exam Price:	USD 255
Certificate Validity Period:	3 years
Sample Questions:	CompTIA DA0-002 Sample Questions
Exam Way:	Online proctored or at Pearson VUE authorized testing centers
Pre Condition:	No formal prerequisites; recommended 18–24 months of experience in a report/business analyst role or equivalent knowledge
Official Syllabus URL:	https://www.comptia.org/certifications/data

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Exam DA0-002 Guide Materials, Valid DA0-002 Test Pass4sure

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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	5.0 Data Governance, Quality, and Controls

CompTIA Data+ Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
A data analyst is creating a pivot table for a large dataset for an upcoming board meeting. Which of the following is the purpose of the pivot table?

A. To retrieve and clean data from several sources
B. To organize the data for reporting
C. To summarize and analyze the data
D. To visualize the data in a dashboard

Answer: C

Explanation:
This question pertains to theData Analysisdomain, focusing on the purpose of a pivot table. Pivot tables are a tool for summarizing and analyzing data, often used in preparation for reporting.
* To visualize the data in a dashboard (Option A): Pivot tables summarize data but aren' tvisualizations; charts in dashboards might be created from pivot tables.
* To retrieve and clean data from several sources (Option B): Retrieving and cleaning data is part of data preparation, not the purpose of a pivot table.
* To summarize and analyze the data (Option C): Pivot tables aggregate and summarize data (e.g., by calculating sums, averages) and allow for analysis (e.g., filtering, grouping), which is their primary purpose.
* To organize the data for reporting (Option D): While pivot tables can help organize data, their main purpose is summarization and analysis, not just organization.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and pivot tables are a key tool for summarizing and analyzing large datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

NEW QUESTION # 54
Given the following tables:

Which of the following is the best option to display output from FirstName and LastName as FullName?

A. Filter
B. Concatenate
C. Group
D. Join

Answer: B

Explanation:
Concatenation combines multiple text fields into a single field, allowing FirstName and LastName to be merged into FullName.

NEW QUESTION # 55
A database administrator needs to implement security triggers for an organization's user information database. Which of the following data classifications is the administrator most likely using? (Select two).

A. Encrypted
B. Private
C. Open
D. Public
E. Sensitive
F. Non-Sensitive

Answer: B,E

NEW QUESTION # 56
A data analyst needs to get an accurate idea of how data components are automated. Which of the following types of documentation should the analyst review first?

A. Data lineage
B. Data dictionary
C. Data explainability report
D. Data flow diagram

Answer: D

Explanation:
This question pertains to the Data Concepts and Environments domain, focusing on documentation for understanding data processes. The analyst needs to understand automation of data components, which involves data movement and processes.
* Data flow diagram (Option A): A data flow diagram (DFD) visualizes how data moves through systems, including automated processes, making it the best starting point.
* Data explainability report (Option B): This is related to AI/ML model transparency, not data automation.
* Data dictionary (Option C): A data dictionary defines data elements, not how they're automated.
* Data lineage (Option D): Data lineage tracks data origin and transformations but doesn't focus on automation processes.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data flow diagram is key for visualizing automation.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 57
Which of the following data repositories stores unformatted data in its original, raw form?

A. Data warehouse
B. Data mart
C. Data lake
D. Data silo

Answer: C

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on data repositories. The task is to identify a repository that stores raw, unformatted data.
* Data warehouse (Option A): A data warehouse stores structured, processed data in a predefined schema, not raw data.
* Data silo (Option B): A data silo is an isolated repository, often structured, not designed for raw data storage.
* Data mart (Option C): A data mart is a subset of a data warehouse, also storing structured data.
* Data lake (Option D): A data lake stores raw, unformatted data in its original format(structured, semi- structured, or unstructured), making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is designed for raw data storage.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 58
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