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Alibaba ACA-BigData1 Exam Syllabus

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Before starting your ACA-BigData1 exam preparation, it is recommended to review the complete Alibaba ACA Big Data Certification Exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free ACA-BigData1 questions. We also provide premium ACA-BigData1 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Alibaba
Vendor
ACA-BigData1
Exam Code
78
Total Questions
3
Total Exam Domains

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ACA-BigData1 EXAM QUESTIONS

Alibaba ACA-BigData1 Exam Objectives

Section 1: MaxCompute
Weight:
41%
  • 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.
Section 2: DataWorks
Weight:
32%
  • 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.
Section 3: E-MapReduce
Weight:
21%
  • 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.
Info
https://edu.alibabacloud.com/certification/aca_bigdata?spm=a3c0i.11597324.1621765730.10.e69e4755kTNSGC