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Passing Score, Duration & Questions For The CompTIA DA0-001 Exam
- The passing score: 675 (on scale of 100-900)
- Time Duration: 90 minutes
- Exam Length: 90 questions
- Languages: English
- Format: Multiple choice and performance-based
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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Introduction of CompTIA DA0-001 Exam
The CompTIA Data+ certification is a vendor neutral certification that validates the ability to use data to solve business problems. It is designed for professionals who work with or support IT, including IT manager, analyst, consultant and project manager.
CompTIA Data+ is focused on the skills necessary to analyze, manage and implement information technology systems within an organization. The exam covers how to collect and analyze data using tools such as spreadsheets and databases; how to use this data to make informed decisions about IT projects; how to create reports from the data; how to communicate findings clearly and concisely through presentations and reports; how to identify security issues related to information assets; and how to apply appropriate standards for data management practices across your company or organization. CompTIA DA0-001 exam dumps are the best practice exams.
The CompTIA Data+ certification is designed for professionals working in a variety of fields such as finance, marketing, human resources, sales and legal who use data in their jobs. The manipulation of the schedule programming dimensions driven updates role components activity interface busy campaigns advertising reasons activities with decision news.
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CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Mining | 25% | - Given a scenario, execute techniques for data manipulation - Identify common reasons for cleansing and profiling datasets - Explain common techniques for data manipulation and optimization - Explain data acquisition concepts |
| Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Compare and contrast types of data controls - Explain key aspects of data quality |
| Data Concepts and Environments | 15% | - Identify basic concepts of data schemas and dimensions - Compare and contrast different data types - Compare and contrast common data structures and file formats |
| Data Analysis | 23% | - Given a scenario, apply the appropriate descriptive statistical methods - Explain the purpose of inferential statistical methods - Summarize types of analysis and key analysis techniques |
| Visualization | 23% | - Compare and contrast types of reports - Given a scenario, translate business requirements to support data-driven decisions - Explain important aspects of a report that tell a data story - Given a scenario, apply the appropriate type of visualization - Given a scenario, use appropriate methods for dashboard development |






