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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam (2025)
Exam Number:DA0-002
Related Certifications:CompTIA Data+
Real Exam Qty:Up to 90
Passing Score:720 (scale of 100โ€“900)
Certificate Validity Period:3 years
Available Languages:English
Exam Format:Multiple-choice, Performance-based
Exam Duration:90 minutes
Exam Price:USD 255
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or at Pearson VUE authorized testing centers
Pre Condition:No formal prerequisites; recommended 18โ€“24 months of experience in a report/business analyst role or equivalent knowledge
Official Syllabus URL:https://www.comptia.org/certifications/data

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 5.0 Data Governance, Quality, and Controls
Topic 4
  • 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 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 (Q187-Q192):

NEW QUESTION # 187
An analyst must use the same data to create reports for police patrol supervisors, the city council, and a public website. Which of the following is the best way to differentiate the reports?

Answer: A


NEW QUESTION # 188
Which of the following data structures would a data engineer most likely receive when using a get command?

Answer: C

Explanation:
JSON (JavaScript Object Notation) is a common data structure returned by GET requests in APIs and web services. It provides a lightweight, structured format for exchanging data between systems and is widely used for transmitting records, objects, and arrays.


NEW QUESTION # 189
A manager wants a report that contains the days off for each direct report. The manager needs this report to always be up-to-date with the latest data. Which of the following describes the refresh frequency that the manager is requesting?

Answer: C

Explanation:
This question pertains to the Visualization and Reporting domain, focusing on report refresh frequencies.
The manager needs the report to always be up-to-date, implying continuous data updates.
* Real-time (Option A): Real-time refresh frequency ensures the report reflects the latest data as soon as it changes, which matches the requirement to "always be up-to-date."
* Ad hoc (Option B): Ad hoc reports are generated on-demand, not continuously updated.
* Snapshot (Option C): A snapshot captures data at a specific point in time, not suitable for always being up-to-date.
* Dynamic (Option D): Dynamic reports allow interactivity, but the term doesn't specifically imply real- time updates.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and real-time refresh frequency ensures the report is always current.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 190
An analyst needs to combine the following two tables. The analyst needs to keep all the records in the Medals table and only the records that match from the Country table.

Which of the following methods should the analyst use for this task?

Answer: A

Explanation:
A join is used to combine rows from two tables based on a common field, in this case Person_ID.
Since all records from the Medals table must be retained and only matching records from the Country table included, the appropriate operation is a left join, which is a type of join.


NEW QUESTION # 191
A senior manager needs a report that can be generated and accessed at any time. Which of the following delivery methods should a data analyst use?

Answer: B


NEW QUESTION # 192
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