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ACP Big Data Professional Certification
Introduction
This certification is designed for those familiar with big data and operational knowledge of Alibaba Cloud big data products. ACP Big Data Certification covers a wide range of Alibaba Cloud big data core services, including MaxCompute, DataWorks, E-MapReduce, Visualization and BI tools.
Recommended For
Engineers with a practical knowledge of Alibaba Cloud Big Data products
Exam Overview
| Certification: | ACP Big Data Certification |
| Test Type： | Enter exam platform to choose either the offline or online test. |
| Available Languages： | English |
| Passing Score: | 65 (out of 100 points) |
| Attention 1: | 14 days are required between the taking of any two professional exams. |
| Attention 2: | This exam is non-refundable. |
| Registration Fee： | USD 120.00 |
Certification at a Glance
Exam Duration
120 Minutes
Exam Question
60 Question
Download Course Brochure
Download Sample Quesrions
USD 120.00
Course Details
1. Max Compute
- 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
2. Tunnel SDK
- Know how to use SQL commands for large data computing, including DDL, DML, and common built-in functions?
- Familiar with user-defined functions, including UDF, UDAF, and UDTF, able to write simple custom functions.
- Familiar with the MapReduce programming framework, can setup IntelliJ IDEA integrated development environment, and write a simple MapReduce program.
- 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 Max Compute, including users, roles, authorization (ACL & Policy), project space protection, external and security level, etc.
3. Data Works
- Familiar with the basic functions of Data Works, including data Integration, data development, data management, operation & maintenance center, organization management and project management.
- Understand the basic features of Data Works, 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 Data Works, including construction table, task development, resource upload, data upload, new functions, etc.
- Able to use Data Works' 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 table, etc.
- Able to fix the basic problems by identifying and locating the problems in the process.
4. E-MapReduce
- Know about the basic distributed system theory, like the concept of distributed file system and distributed computing framework.
- Know how the common components in Hadoop ecosystem work, e.g. distributed file system (HDFS), computation framework (MapReduce), resource management component (YARN) and resource coordination component (Zookeeper).
- Familiar with the basic concepts of each component of E-MapReduce, including YARN, Spark, Zookeeper, Kafka, etc.
- Familiar with Auto Scaling features, product advantages and common application scenarios.
5. Alibaba Big Data Ecosystem tools
- Has knowledge about the Alibaba Cloud Machine Learning Platform for AI (PAI).
- Know about the Alibaba Cloud Steaming data process solution and products (Realtime Compute, Apache Flink).
- Familiar with the basic concepts of Quick BI and has knowledge about workflow of how to use Quick BI get better insight of data.
- Understand the features and application scenarios of other related products, including Alibaba Cloud RDS, distributed relational database DRDS, Table Store, Analytic database, Data Transmission Service (DTS), Realtime Compute and DataV, etc.
- Understand how Data Works data integration synchronizes data with other related products?
| Fees Structure : | 15500 INR / 185 USD |
| Total No of Class : | 25 Video Class |
| Class Duration : | 25:30 Working Hours |
| Download Feature : | Download Avalable |
| Technical Support : | Call / Whatsapp : +91 8680961847 |
| Working Hours : | Monday to Firday 9 AM to 6 PM |
| Payment Mode : | Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay) |
| Fees Structure : | 22500 INR / 270 USD |
| Class Duration : | 30 Days |
| Class Recording : | Live Class Recording available |
| Class Time : | Monday to Firday 1.5 hours per day / Weekend 3 Hours per day |
| Technical Support : | Call / Whatsapp : +91 8680961847 |
| Working Hours : | Monday to Firday 9 AM to 6 PM |
| Payment Mode : | Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay) |
