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Passing Score, Duration & Questions For The CompTIA DA0-001 Exam
- Time Duration: 90 minutes
- Exam Length: 90 questions
- Languages: English
- Format: Multiple choice and performance-based
- The passing score: 675 (on scale of 100-900)
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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The CompTIA Data+ exam is designed to screen out candidates who have no concept of what they are doing when they work with computers. It requires that you have some knowledge of what the different parts of a computer do, how they work together and how they interact with each other. It also requires that you have some basic familiarity with networking systems and networks in general as well as knowledge about security issues related to computers and networks in general. CompTIA DA0-001 exam dumps are the key of success.
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The Average salary of different countries for CompTIA DA0-001 professionals:
- United States: USD 55,000 per year
- United Kingdom: Pound 45489
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CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Concepts and Environments | 15% | - Identify basic concepts of data schemas and dimensions - Compare and contrast common data structures and file formats - Compare and contrast different data types |
| Topic 2: Data Governance, Quality, and Controls | 14% | - Compare and contrast types of data controls - Explain key aspects of data quality - Summarize important data governance concepts |
| Topic 3: 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 |
| Topic 4: 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 |
| Topic 5: Visualization | 23% | - Given a scenario, apply the appropriate type of visualization - Given a scenario, use appropriate methods for dashboard development - Explain important aspects of a report that tell a data story - Compare and contrast types of reports - Given a scenario, translate business requirements to support data-driven decisions |
