DA0-002 actual test, Test VCE dumps for CompTIA Data+ Exam

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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Certification Exam
Exam Number:DA0-002
Exam Format:Multiple-choice, Performance-based questions, Multiple-response
Exam Duration:90 minutes
Exam Price:$253 USD (may vary by region/tax)
Certificate Validity Period:3 years
Real Exam Qty:Up to 90
Available Languages:English
Passing Score:675 (on a scale of 100–900)
Recommended Training:CompTIA CertMaster Learn for Data+
CompTIA Data+ Study Resources
Exam Registration:Pearson VUE CompTIA Exams Registration
CompTIA Data+ Certification Page
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

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DA0-002 Knowledge Points - CompTIA Realistic CompTIA Data+ Exam Free Updates

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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
  • 5.0 Data Governance, Quality, and Controls
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
  • 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 5
  • 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.

CompTIA Data+ Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which of the following file formats uses curly brackets to surround objects?

Answer: A

Explanation:
JSON (JavaScript Object Notation) represents objects using curly brackets { }. Each object contains key-value pairs enclosed within these brackets, making JSON a common format for exchanging structured data between systems and applications.


NEW QUESTION # 19
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?

Answer: D


NEW QUESTION # 20
Which of the following statistical measures is the most suitable and simple measure of the strengthsimple measure of the strength and direction of the linear relationship between price and volume?

Answer: D

Explanation:
Correlation measures both the strength and direction of a linear relationship between two variables, such as price and volume.


NEW QUESTION # 21
A marketing firm wants to find the average age of its consumers to better promote its products.
Given the following dataset:

Which of the following is the mean of the consumer ages?

Answer: D


NEW QUESTION # 22
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: D

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 # 23
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