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CompTIA DA0-002 Exam Overview:
| Certification Vendor: | CompTIA |
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| Exam Name: | CompTIA Data+ Exam (2025) |
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| Exam Number: | DA0-002 |
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| Real Exam Qty: | Up to 90 |
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| Related Certifications: | CompTIA Data+ |
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| Exam Price: | USD 255 |
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| Passing Score: | 720 (scale of 100โ900) |
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| Exam Format: | Multiple-choice, Performance-based |
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| Available Languages: | English |
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| Exam Duration: | 90 minutes |
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| Certificate Validity Period: | 3 years |
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| Sample Questions: | CompTIA DA0-002 Sample Questions |
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| Exam Way: | Online proctored or at Pearson VUE authorized testing centers |
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| Pre Condition: | No formal prerequisites; recommended 18โ24 months of experience in a report/business analyst role or equivalent knowledge |
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| Official Syllabus URL: | https://www.comptia.org/certifications/data |
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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - 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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| 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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| Topic 4 | - This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
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CompTIA Data+ Exam Sample Questions (Q165-Q170):
NEW QUESTION # 165
An analyst needs to create a collection of dashboards for multiple teams within their organization. Which of the following should the analyst do first before starting the project?
- A. Determine the number of team members who need to access the dashboards.
- B. Evaluate the KPIs for the dashboards.
- C. Determine the delivery method of the dashboards.
- D. Evaluate the user persona type for the dashboards.
Answer: D
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on the initial steps in dashboard creation. The analyst is starting a project for multiple teams, so understanding the audience is critical.
* Evaluate the user persona type for the dashboards (Option A): User personas define the needs, roles, and preferences of the audience (e.g., executives vs. analysts), which is the firststep to ensure the dashboards meet user requirements.
* Determine the number of team members who need to access the dashboards (Option B): This is important for access control but not the first step in design.
* Determine the delivery method of the dashboards (Option C): Delivery method (e.g., self-service) is decided later, after understanding user needs.
* Evaluate the KPIs for the dashboards (Option D): KPIs are defined after understanding the user personas and their goals.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and evaluating user personas is the first step in this process.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 166
Which of the following data repositories stores unstructured and structured data?
- A. Data mart
- B. Data lake
- C. Data silo
- D. Data store
Answer: B
Explanation:
This question falls under theData Concepts and Environmentsdomain of CompTIA Data+ DA0-002, which involves understanding different types of data repositories and their characteristics. The task is to identify a repository that can store both unstructured and structured data.
* Data store (Option A): A data store is a general term for any data repository, but it's not specific enough to confirm it stores both unstructured and structured data.
* Data silo (Option B): A data silo is an isolated data repository, often structured, and not typically designed for unstructured data.
* Data mart (Option C): A data mart is a subset of a data warehouse, focused on structured data for specific business areas, not unstructured data.
* Data lake (Option D): A data lake is a centralized repository that stores raw data in its native format, including both structured (e.g., tables) and unstructured (e.g., text, images) data, 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 specifically designed to handle both unstructured and structured data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 167
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?
- A. The company is experiencing issues with password replication.
- B. The company changed its database authentication method.
- C. The analyst did not change the password used to launch the report.
- D. The password expiration process locked the account.
Answer: C
Explanation:
The recurring analysis likely uses stored database credentials. After the analyst changed the company password, the password saved in the report, scheduled job, or database connection was no longer valid. As a result, the automated process failed authentication and returned the log-in error.
NEW QUESTION # 168
Given the following cloud service provider data:

Which of the following is the best way to represent the information?
- A. Area chart
- B. Scatter plot
- C. Gantt chart
- D. Donut chart
Answer: D
Explanation:
A donut chart is ideal for displaying parts of a whole when the values represent percentages of a total. The cloud providers' market share percentages add up to 100%, making a donut chart an effective way to show each provider's proportion of the overall market.
NEW QUESTION # 169
Given the following data set:

Which of the following is the median?
Answer: D
Explanation:
The test scores are 35, 76, 91, 45, 72, and 83. When sorted, they become 35, 45, 72, 76, 83, 91.
Since there are six values, the median is the average of the two middle values: (72 + 76) รท 2 =
74.
NEW QUESTION # 170
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