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Updated: Sep 10, 2026

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Alibaba Cloud ACE-BigData1: ACE Big Data Expert certification course covers the advanced knowledge of big data technologies and cloud computing platforms such as Hive, Hadoop, MapReduce, and Spark. As prerequisites for ACE-BigData1 exam, applicants should be familiar with basic knowledge in big data technologies, be an experienced professional on big data. Additionally, expertise in big data maintenance, data analysis, and usage is also necessary.

Alibaba Cloud ACE-BigData1 (ACE Big Data Expert) Certification Exam is a professional certification exam designed for individuals who are interested in validating their knowledge and skills in the field of big data. ACE-BigData1 exam is offered by Alibaba Cloud, a leading cloud computing and big data technology provider, and is intended to assess an individual's ability to design, deploy, and maintain big data solutions using Alibaba Cloud products and services.

Alibaba Cloud ACE-BigData1 (ACE Big Data Expert) Certification Exam is designed to test an individual's knowledge and skills in big data technologies and applications. ACE Big Data Expert certification is offered by Alibaba Cloud, one of the leading cloud computing providers in the world, and is aimed at professionals who work with big data and want to validate their expertise in this area. ACE Big Data Expert certification exam covers a wide range of topics, including big data storage and processing, data analysis and visualization, machine learning, and big data security.

Reference: https://edu.alibabacloud.com/certification/ace_bigdata?spm=a3c0i.11597324.1621765730.40.e69e4755kTNSGC

Alibaba Cloud ACE-BigData1 Exam Overview:

Certification Vendor:Alibaba Cloud
Exam Name:Alibaba Cloud ACE Big Data Expert Certification Exam
Exam Number:ACE-BigData1
Related Certifications:Alibaba Cloud Certified Professional (ACP) Big Data
Alibaba Cloud Certified Associate (ACA) Big Data
Real Exam Qty:60
Available Languages:English
Exam Duration:150 minutes
Passing Score:90/150
Exam Price:USD 120
Certificate Validity Period:2 years
Exam Format:Single Choice Questions, Multiple Choice Questions
Recommended Training:Alibaba Cloud Academy Big Data Training
Exam Registration:Alibaba Cloud Certification Portal
Pearson VUE Scheduling
Exam Way:Test center (Pearson VUE) or authorized online proctoring depending on region availability
Pre Condition:Recommended prior experience with Alibaba Cloud Big Data services and completion of ACA and ACP Big Data certifications.
Official Syllabus URL:https://www.alibabacloud.com/en/academy/certification

Alibaba Cloud ACE-BigData1 exam is designed to test the skills and knowledge of professionals who work with big data. ACE-BigData1 exam covers a wide range of topics, including big data storage, processing, analysis, and visualization. It also tests the candidate's ability to use Alibaba Cloud's big data products and services, such as MaxCompute, DataWorks, and QuickBI.

Alibaba Cloud ACE-BigData1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Big Data Operations and Security- System Operations
  • 1. Resource management and optimization
    • 2. Cluster monitoring and troubleshooting
      - Security and Governance
      • 1. Data compliance and governance
        • 2. Data access control (RAM)
          Topic 2: Big Data Architecture on Alibaba Cloud- Alibaba Cloud Big Data Ecosystem
          • 1. E-MapReduce cluster management
            • 2. MaxCompute usage and architecture
              • 3. DataWorks data integration workflows
                - Core Big Data Concepts
                • 1. Distributed systems fundamentals
                  • 2. Data storage and processing models
                    Topic 3: Data Visualization and BI- Business Intelligence Tools
                    • 1. DataV visualization dashboards
                      • 2. Quick BI usage scenarios
                        Topic 4: Data Processing and Analytics- Batch and Stream Processing
                        • 1. Offline data warehouse design
                          • 2. Real-time data processing concepts
                            - Data Modeling and Optimization
                            • 1. Performance tuning for big data workloads
                              • 2. Dimensional modeling (OLAP/OLTP)

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