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Alibaba Cloud ACP-BigData1 (ACP Big Data Professional) Certification Exam is a certification exam offered by Alibaba Cloud, which is designed to validate the skills and knowledge of professionals who work with big data solutions. ACP Big Data Professional certification exam is aimed at engineers who have experience in designing, developing, and maintaining big data solutions using Alibaba Cloud products and services.

Reference: https://edu.alibabacloud.com/certification/acp_bigdata?spm=a3c0i.11597324.1621765730.25.e69e4755kTNSGC

Alibaba Cloud ACP-BigData1 exam covers a variety of topics, including big data technologies, data analysis, data management, and machine learning. Candidates will be required to demonstrate their understanding of these topics through a combination of multiple-choice questions and hands-on exercises. ACP-BigData1 exam is designed to be challenging, and candidates will need to have a solid understanding of big data concepts and technologies to pass. Upon passing the exam, candidates will receive a certification from Alibaba Cloud, which can help them stand out in the job market and advance their careers in the field of big data.

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Alibaba Cloud ACP-BigData1 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Processing and Development25%- Batch Processing
  • 1. DataWorks workflow orchestration
  • 2. MaxCompute SQL development
  • 3. ETL and data transformation
- Real-Time Computing
  • 1. Real-time analytics solutions
  • 2. Realtime Compute for Apache Flink
  • 3. Stream processing concepts
Topic 2: Big Data Solution Architecture10%- Solution Design
  • 1. Big data platform architecture design
  • 2. Cost optimization and best practices
  • 3. Performance optimization
Topic 3: Big Data Fundamentals10%- Big Data Concepts
  • 1. Big data characteristics and architecture
  • 2. Data lifecycle management
  • 3. Distributed computing fundamentals
Topic 4: Data Analysis and Visualization15%- Analytics
  • 1. Business intelligence solutions
  • 2. Quick BI implementation
  • 3. Data modeling and analysis
Topic 5: Data Storage and Management25%- Storage Solutions
  • 1. Data Lake and metadata management
  • 2. MaxCompute architecture and usage
  • 3. Object Storage Service (OSS)
- Data Governance
  • 1. Data catalog and governance frameworks
  • 2. Data quality management
  • 3. Data security and permissions
Topic 6: Data Collection and Transmission15%- Data Ingestion
  • 1. Data synchronization and migration
  • 2. Real-time data collection
  • 3. Log collection and processing

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