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CompTIA DA0-002 Exam Overview:

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

TopicDetails
Topic 1
  • 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 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
  • 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.

CompTIA Data+ Exam Sample Questions (Q85-Q90):

NEW QUESTION # 85
Which of the following is the best tool for creating a dynamic dashboard?

Answer: A


NEW QUESTION # 86
A data analyst needs to create a combined report that includes information from the following two tables:

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

Answer: D

Explanation:
A union combines rows from two tables with the same structure into a single result set, making it appropriate for merging managers and non-managers into one report.


NEW QUESTION # 87
A company wants to limit an employee's access to a production environment. Which of the following access control practices is the best to implement?

Answer: C


NEW QUESTION # 88
Which of the following AI types is the best option for time-series forecasting?

Answer: B

Explanation:
Foundation models are the best option because they can be adapted for a wide range of predictive tasks, including time-series forecasting. These models are trained on large datasets and can identify patterns over time to generate forecasts for future values.


NEW QUESTION # 89
A data analyst needs to join together a table data source and a web API data source using Python. Which of the following is the best way to accomplish this task?

Answer: A

Explanation:
API data is commonly returned in JSON format, which can be easily converted into pandas DataFrames and merged with database data, making it the most appropriate and efficient approach.


NEW QUESTION # 90
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