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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 5.0 Data Governance, Quality, and Controls
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 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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CompTIA Data+ Exam Sample Questions (Q187-Q192):

NEW QUESTION # 187
Which of the following data sources makes online data consumption easier?

Answer: D

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on data sources that facilitate online data access. The task is to identify a source that simplifies online data consumption.
* Data mart (Option A): A data mart stores structured data for specific business areas, typically accessed internally, not designed for online consumption.
* Web scraping (Option B): Web scraping extracts data from websites but requires parsing and cleaning, which isn't necessarily "easier."
* Database (Option C): Databases store data but aren't inherently designed for online consumption without an interface.
* Application programming interface (Option D): An API provides a structured way to access data online, often in formats like JSON, making data consumption easier for applications and users.
The DA0-002 Data Concepts and Environments domain includes understanding "data sources," and APIs are specifically designed to simplify online data access.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 188
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: B


NEW QUESTION # 189
A database administrator is attempting to load a set of database logs into a software system.
Upon processing the data, the administrator receives a notification that this process failed because the data size is too large for the system memory. Which of the following is the best way for the administrator to correct this issue?

Answer: A

Explanation:
Chunking processes large data sets in smaller, manageable pieces, allowing the system to handle the data without exceeding memory limits.


NEW QUESTION # 190
A data analyst is creating a statistical table that contains basic information about the data set.
Which of the following is the best statistical method for this scenario?

Answer: B

Explanation:
Descriptive statistics summarize and present key characteristics of a data set, such as counts, averages, and distributions, which are typically included in a statistical table.


NEW QUESTION # 191
A data analyst is following up on a recent, company-wide data audit of customer invoice data.
Which of the following is the best option for the analyst to use?

Answer: D


NEW QUESTION # 192
......

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