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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Certification Exam
Exam Number:DA0-002
Exam Price:$253 USD (may vary by region/tax)
Certificate Validity Period:3 years
Passing Score:675 (on a scale of 100–900)
Available Languages:English
Exam Format:Performance-based questions, Multiple-choice, Multiple-response
Real Exam Qty:Up to 90
Exam Duration:90 minutes
Recommended Training:CompTIA Data+ Study Resources
CompTIA CertMaster Learn for Data+
Exam Registration:CompTIA Data+ Certification Page
Pearson VUE CompTIA Exams Registration
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Delivered via Pearson VUE testing centers or online proctored exam
Pre Condition:No mandatory prerequisites. Recommended: 18–24 months of experience in a business/data analytics environment.
Official Syllabus URL:https://www.comptia.org/certifications/data-plus

>> DA0-002 Exam Blueprint <<

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
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.
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
  • 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.
Topic 4
  • 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 5
  • 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.

CompTIA Data+ Exam Sample Questions (Q175-Q180):

NEW QUESTION # 175
An analyst needs to make a collection of sales dashboards for C-suite members, managers, and salespeople. Which of the following should the analyst consider when designing these dashboards?

Answer: D

Explanation:
User persona type is the most important consideration because C-suite executives, managers, and salespeople have different goals, responsibilities, and information needs. Designing dashboards based on each audience ensures that the displayed metrics, level of detail, and visualizations are relevant and useful to the intended users.


NEW QUESTION # 176
Which of the following best describes the purpose of a primary key?

Answer: D

Explanation:
A primary key uniquely identifies each row in a table. It ensures that every record can be distinguished from all others and prevents duplicate entries for the key field, maintaining data integrity within the table.


NEW QUESTION # 177
A company needs to display sales numbers on the intranet. This solution needs to be updated every day before the workday starts. Which of the following is the best solution to meet this objective?

Answer: C

Explanation:
A dynamic dashboard that refreshes nightly automatically updates the displayed sales data before employees begin work each day. This provides current information on the intranet without requiring manual report generation or distribution, making it the most efficient and reliable solution.


NEW QUESTION # 178
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 dataset. Given the following table:
Employee_ID
Level
Salary
001
1
10000
002
2
20000
003
2
256000
004
2
125000
001
1
10000
002
2
20000
Which of the following SQL statements resolves this issue?

Answer: C

Explanation:
This question falls under theData Analysisdomain, focusing on SQL queries to handle duplicates while counting employees. The task is to count unique employees with a salary of $125,000 or more, addressing duplicates in the dataset.
* Option A: SELECT DISTINCT Employee_ID FROM Employee WHERE Salary >= 125000This lists unique Employee_IDs but doesn't provide a count, which the department needs.
* Option B: SELECT COUNT(DISTINCT Employee_ID) FROM Employee WHERE Salary >=
125000This counts unique Employee_IDs (using DISTINCT) with a salary of $125,000 or more, correctly addressing duplicates and providing the required count (2 employees: 003 and 004).
* Option C: SELECT DISTINCT Employee_ID FROM Employee WHERE Salary > 125000This lists unique Employee_IDs with a salary strictly greater than $125,000 (missing 004), and doesn't provide a count.
* Option D: SELECT COUNT(Employee_ID) FROM Employee WHERE Salary >= 125000This counts all rows without addressing duplicates, resulting in an incorrect count (2 rows, but only 2 unique employees).
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and COUNT(DISTINCT) is the correct method to count unique employees while handling duplicates.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 179
A data analyst calculated the average score per student without making any changes to the following table:

Which of the following exploration techniques should the analyst have considered before calculating the average?

Answer: C

Explanation:
Duplicate records in the dataset would skew the average score calculation, so identifying and handling duplication should be done before performing the analysis.


NEW QUESTION # 180
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