ACP-BigData Retired: Historical Blueprint and Next Steps

Historical ACP-BigData Scope

The ACP Big Data Professional certification, managed by Alibaba Cloud, covered advanced data processing, real-time analytics, and machine learning integration. This exam officially retired on 2025-03-31. As there is no designated successor, candidates seeking certification should consult the official Alibaba Cloud education portal for current training and credentialing opportunities that align with their professional goals in big data architecture and management. The certification program was designed to validate technical expertise in handling large-scale data environments using various cloud-based services and distributed computing frameworks provided by the Alibaba Cloud ecosystem.

Who ACP-BigData Was For

This retired certification was intended for data engineers and architects with significant experience in managing large-scale data environments. Candidates needed proficiency in distributed computing and cloud-based data services to handle the 70 questions presented during the 120-minute assessment.

Skills You Should Be Ready to Demonstrate

• Advanced MaxCompute data processing
• Flink real-time stream analytics
• Data lake architecture management
• Machine learning and AI integration
• Data governance and compliance

How to Reuse Your Preparation

Since this exam is retired and has no successor, do not prepare for it. Focus your efforts on current cloud data technologies. Review the official Alibaba Cloud documentation to identify relevant skills for your career path. Any knowledge of MaxCompute, Flink, or data lake management remains useful, but you should not attempt to sit for this specific, discontinued exam. Please explore the official Alibaba Cloud education portal to find active certifications that may better suit your current professional development requirements and technical career objectives.

Historical Domain Guide

Advanced MaxCompute: Historical Scope

This domain focused on advanced operations within MaxCompute, which served as the primary data warehousing platform for the certification, requiring candidates to demonstrate deep knowledge of distributed data processing and complex query optimization techniques.

• MaxCompute data processing
• Distributed data warehousing

Flink Real-Time Processing: Historical Scope

This domain covered real-time data processing techniques using Apache Flink, emphasizing the ability to manage streaming data pipelines, stateful stream processing, and the implementation of low-latency analytics within the Alibaba Cloud big data environment.

• Flink stream processing
• Stateful stream management

Data Lake: Historical Scope

This domain addressed the storage and management of data within a data lake environment, focusing on architectural best practices for organizing, securing, and scaling large volumes of unstructured and structured data for analytical purposes.

• Data lake architecture
• Storage management

ML and AI Integration: Historical Scope

This domain focused on integrating machine learning and AI capabilities into data workflows, requiring an understanding of how to deploy predictive models and automated data processing tasks within the broader Alibaba Cloud infrastructure.

• AI integration
• Machine learning workflows

Data Governance: Historical Scope

This domain covered the principles and practices of data governance, including the implementation of security policies, compliance management, and the maintenance of data integrity across complex, multi-tenant cloud-based big data storage and processing systems.

• Data governance policies
• Compliance management