Alibaba Cloud ACA-BigData1 Exam Topics, Blueprint and Syllabus

According to Alibaba Cloud, the recommended experience for ACA-BigData1 exam includes:

1. Basic knowledge of big data concepts and technologies, such as Hadoop, Spark, and Hive.
2. Familiarity with programming languages such as Java, Python, and SQL.
3. Experience in data processing, analysis, and visualization.
4. Understanding of distributed computing and parallel processing.
5. Knowledge of cloud computing and related services, such as Alibaba Cloud ECS, OSS, and RDS.
6. Experience in designing and implementing big data solutions.
7. Familiarity with data security and privacy issues.
8. Understanding of machine learning and artificial intelligence concepts.

It is important to note that these are only recommended experiences, and not mandatory requirements. However, having these experiences can help you prepare for the exam and increase your chances of passing.

Based on the information available on the Alibaba Cloud website, the prerequisites for the ACA-BigData1 exam are as follows:

1. Basic knowledge of big data concepts and technologies
2. Familiarity with Alibaba Cloud big data products and services
3. Experience in using big data tools and platforms
4. Understanding of data analysis and processing techniques
5. Knowledge of programming languages such as Java, Python, and SQL

It is recommended that candidates have at least six months of experience in big data-related projects before taking the exam.

• Familiar with big data computing services basic concepts, including project, table, partition, resources, task, etc.
• Understand big data computing services including the composition of the structure and function of each component.
• Master the characteristics, advantages and application scenarios of Alibaba Cloud big data computing services.
• Know how to connect and use the computing services, including the use of client odpscmd, management console, Java SDK, etc.
• Know how to do the big data computing service data upload and download, can use tunnel command line tools, understand the Tunnel SDK
• Familiar with user-defined functions, including UDF, UDAF, and UDTF, able to write simple custom functions.
• Understand the Graph programming framework, including basic concepts, processing procedures, can write a simple Graph program.
• Familiar with the concept and practical operation of the security and permission management of MaxCompute, including users, roles, authorization (ACL & Policy), project space protection, external and security level, etc.

• Familiar with the basic functions of DataWorks, including data Integration, data studio, data servie, operation & maintenance center, organization management and project management.
• Understand the basic features of DataWorks, including role isolation, environment isolation, etc.
• Has knowledge about how to leverage project management and organizational management modules to build data analysis environment.
• Proficient in the design and development of data development module of DataWorks, including construction table, task development, resource upload, data upload, new functions, etc.
• Able to use DataWorks' data development module for workflow task and node task development and design, can configure appropriate dependencies and periodic scheduling.
• Able to use the data management module for data management, including linage analysis, application and authorization of use of objects, etc.
• Able to fix the basic problems by identifying and locating the problems in the process.

• Familiar with the basic concepts of each component of E-MapReduce, including YARN, Spark, Zookeeper, Kafka, etc.
• Familiar with instance type, Auto Scaling features, Jindo Filesystem, common application scenarios and pricing model.