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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
Topic 1	5.0 Data Governance, Quality, and Controls
Topic 2	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 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.
Topic 4	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.
Topic 5	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.

Reference: https://www.comptia.org/en-us/certifications/data/v2/

CompTIA Data+ Sample Questions:

Question #1

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?

A. Mean variance
B. Interquartile range
C. The difference between mode and median
D. Skewness from the slope

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Correct Answer: B 🗳️

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Question #2

Which of the following best describes the purpose of a primary key?

A. To provide a helper index that allows the database to find subsets of data easily
B. To organize data so that the database has an efficient way to find data in a table
C. To eliminate the need to join tables
D. To create a unique way to identify each row in a table

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Correct Answer: D 🗳️

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Question #3

Which of the following is the best way to ensure a procedure performs appropriately during heavy use?

A. Network throughput test
B. Requirements test
C. Stress test
D. User acceptance test

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Correct Answer: C 🗳️

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Question #4

A data scientist is presenting a summary speech on current AI trends in the data industry to local high school students. Which of the following should the data scientist consider first when developing the presentation?

A. The accessibility of the slide deck
B. The sensitivity of the data
C. The frequency of reporting
D. The technical knowledge of the audience

Reveal Solution Discussion 0

Correct Answer: D 🗳️

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Question #5

Which of the following data repositories should a company use when structured data about the whole company needs to be stored in a predefined data structure?