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Alibaba Cloud ACA-BigData1 Exam Syllabus

ACA Big Data Certification Exam

Last Update May 2, 2024
Total Questions : 78

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ACA-BigData1 Exam Details

Alibaba Cloud ACA-BigData1 Exam Detail

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Free ACA-BigData1 Exam Questions

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Alibaba Cloud ACA-BigData1 Exam Overview :

Exam Name ACA Big Data Certification Exam
Exam Code ACA-BigData1
Official Information https://edu.alibabacloud.com/certification/aca_bigdata?spm=a3c0i.11597324.1621765730.10.e69e4755kTNSGC
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Alibaba ACA-BigData1 Exam Topics :

Section Weight Objectives
MaxCompute 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.
DataWorks 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.
E-MapReduce 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.

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