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CompTIA DA0-001 certification exam is designed to test the candidate's proficiency in a variety of data management and analysis-related topics. DA0-001J exam consists of a maximum of 90 multiple-choice and performance-based questions, and the candidate is given 90 minutes to complete the exam. DA0-001J exam is computer-based and can be taken at any Pearson VUE testing center worldwide. DA0-001J exam is designed to test the candidate's knowledge of data management concepts and their ability to apply that knowledge to real-world scenarios.
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
CompTIA DA0-001 is a certification exam designed to validate the skills and knowledge of IT professionals in data management. DA0-001J exam is part of the CompTIA Data+ certification program, which is designed to equip IT professionals with the necessary skills to manage, analyze and protect data effectively. CompTIA Data+ Certification Exam (DA0-001日本語版) certification is recognized worldwide as a mark of excellence in data management.
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CompTIA DA0-001日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization | 23% | - Given a scenario, use appropriate methods for dashboard development - Given a scenario, apply the appropriate type of visualization - 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 |
| Topic 2: Data Mining | 25% | - Explain data acquisition concepts - Explain common techniques for data manipulation and optimization - Given a scenario, execute techniques for data manipulation - Identify common reasons for cleansing and profiling datasets |
| Topic 3: Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Identify basic concepts of data schemas and dimensions - Compare and contrast different data types |
| Topic 4: Data Governance, Quality, and Controls | 14% | - Explain key aspects of data quality - Compare and contrast types of data controls - Summarize important data governance concepts |
| Topic 5: 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 |
