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The ACA-BigData1 exam covers a wide range of topics related to big data, including Hadoop, Spark, Hive, Flink, and other big data technologies. It is a comprehensive exam that tests the knowledge and skills of candidates in designing, developing, and managing big data solutions. ACA-BigData1 exam also covers data analytics, data visualization, and machine learning, which are essential skills for any big data professional.
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Alibaba Cloud ACA-BigData1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Processing and Analysis | 25% | - DataWorks development and operation platform - SQL and programming for data analysis - E-MapReduce big data analytics service |
| Data Visualization and Application | 10% | - Quick BI visualization tool - Building basic data applications - Principles of data visualization |
| Data Collection and Preprocessing | 15% | - Data collection methods and tools - Data cleaning and transformation - Data integration and synchronization |
| Data Storage and Management | 20% | - Distributed storage solutions - Data modeling and table design - MaxCompute data warehouse service |
| Big Data Fundamentals | 15% | - Concepts and characteristics of big data - Big data processing architecture overview - Distributed system basics |
| Big Data Technology Ecosystem | 15% | - Hadoop ecosystem components - Alibaba Cloud big data product system overview - Spark and mainstream computing frameworks |
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