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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam
Exam Number:DA0-002
Exam Price:$255 USD
Passing Score:720 (scale 100–900)
Available Languages:English
Exam Duration:90 minutes
Real Exam Qty:Up to 90
Exam Format:Performance-based questions, Multiple-choice
Certificate Validity Period:3 years
Recommended Training:CompTIA Official Training
Exam Registration:CompTIA Official Registration
Pearson VUE Testing
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended 18–24 months of experience in data/business analysis role; familiarity with databases, analytical tools, basic statistics, and visualization
Official Syllabus URL:https://www.comptia.org/certifications/data

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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
  • 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 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
  • 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 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 (Q66-Q71):

NEW QUESTION # 66
A data analyst is creating a report that provides information to parents and residents about the school distinct and its individual schools. Which of the following statistical methods is best suited for reporting this information?

Answer: C

Explanation:
Descriptive statistics are used to summarize and present existing data in a meaningful way. Since the report is intended to provide information about the school district and its individual schools, descriptive methods are best suited to present current facts, metrics, and characteristics without making predictions or drawing conclusions about a larger population.


NEW QUESTION # 67
A data analyst creates a report that identifies the middle 50% of the collected data. Which of the following best describes the analyst's findings?

Answer: C

Explanation:
The interquartile range (IQR) represents the spread of the middle 50% of a dataset. It is calculated as the difference between the third quartile (75th percentile) and the first quartile (25th percentile), making it a useful measure of variability that is less affected by outliers.


NEW QUESTION # 68
Which of the following differentiates stress testing from UAT?

Answer: D

Explanation:
Stress testing evaluates how a system performs under extreme or peak conditions to identify potential failures, bottlenecks, and performance limitations. Its purpose is to assess system resilience and optimize performance, whereas UAT focuses on validating that the system meets business and user requirements before deployment.


NEW QUESTION # 69
A data analyst receives a report from a dashboard user stating that their report is taking longer than usual to load. The user needs five components for the dashboard. However, upon investigating, the analyst notices ten components that are attempting to load. Which of the following steps should the analyst take to correct this issue?

Answer: B

Explanation:
Reducing the number of components being loaded by applying appropriate filters ensures only the required data is retrieved and displayed, improving performance and resolving the delay.


NEW QUESTION # 70
Given the following dataset:

Which of the following is the mode?

Answer: C


NEW QUESTION # 71
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