Alibaba Cloud Certification Professional (ACP-Alibaba Cloud CertificationProfessional) is a professional technical certification for architecture, development, operation and maintenance personnel who use Alibaba Cloud big data products. It mainly involves several core products of Alibaba Cloud Big Data, including Big data computing service MaxCompute, data workshop DataWorks (formerly big data development kit DataIDE), data integration, QuickBI, machine learning PAI, etc The technical certification can effectively prove that the certified personnel have the following abilities:
● Basic knowledge of big data storage, processing, analysis and presentation
● Ability to formulate effective technical solutions and enterprise best practices based on Alibaba Cloud ’s products according to the business needs of the enterprise
● Ability to use Alibaba Cloud ’s big data computing services MaxCompute, DataWorks DataWorks, data integration, QuickBI, machine learning PAI and other products
● Ability to diagnose common problems in the operation of business systems built on Alibaba Cloud big data products and find corresponding solutions
Alibaba Cloud certification system:
Assistant Engineer (ACA), Alibaba Cloud Certified Associate has obtained this certification, proving that you can use and manage Alibaba Cloud basic products;
Certified Engineer (ACP), Alibaba Cloud Certified Professional has obtained this certification, which proves that you can solve basic business problems of enterprises based on Alibaba Cloud products;
Certified Senior Engineer (ACE), Alibaba Cloud Certified Expert obtained this certification, which proves that you can design architecture based on Alibaba Cloud products and solve major problems in business development.
ACP certification is currently divided into four categories according to professional direction:
Cloud computing (mainly corresponding to Alibaba Cloud infrastructure products),
Big data (mainly corresponding to Alibaba Cloud big data series products),
Cloud security (mainly corresponding to Alibaba Cloud Shield series products),
Enterprise-level Internet architecture (mainly corresponding to Alibaba Cloud's enterprise-level middleware series products).
The current mainstream certification is Alibaba Cloud Cloud Computing ACP certification, which has the widest scope of application and less difficult exams. It is a professional technical certification for architecture, development, operation and maintenance personnel who use Alibaba Cloud cloud computing products. Big data, security, and enterprise-level Internet architecture, each of which focuses on one direction, is suitable for practitioners in this direction.
Knowledge required for Alibaba Cloud big data professional certification:
● Familiar with the basic concepts of Alibaba Cloud big data related products, including the big data computing service MaxCompute, data workshop DataWorks (formerly big data development kit DataIDE), data integration, QuickBI, machine learning PAI, etc. (the same below)
● Understand the characteristics, application scenarios and usage of Alibaba Cloud big data related products, including table store (Table Store), cloud database RDS, distributed relational database DRDS, analytical database (Analytic DB), object storage OSS, etc., can perform basic architecture design according to actual business scenarios
● Master the basic operations of Alibaba Cloud big data related products, including interactive operations through the management console, client, etc., and data processing through the methods provided by the product (such as SQL, MapReduce, UDF, API, or SDK, etc.)
● Understand the best use practices of each product, be able to identify common problems in use, and give appropriate solutions
General IT knowledge:
● Understand the basic concepts and related knowledge related to big data, such as distributed storage, distributed computing, data warehouse, data analysis, etc.
● Understand the basic concepts and common technologies of relational databases, including transactions, indexes, OLTP, modeling methods, SQL (DDL, DML), etc.
● Experience in data processing using relational database or other products
● Understand the basic concepts and common technologies of data warehouse, including dimensions, fact tables, ad hoc queries, data mining, OLAP, star model, ETL, etc.
● Have certain programming experience, can use at least one common programming language such as Java, Python, etc. for simple program development
● Understand the life cycle of software development, understand project construction or project management
Alibaba Cloud big data professional certification related learning methods, learning materials and training courses:
Suggested learning method:
● It is strongly recommended to open Alibaba Cloud big data related products and perform actual operations.
● Combined with the document synchronization learning on the Alibaba Cloud official website (https://help.aliyun.com/)
More learning paths:
● Participate in the face-to-face training courses provided by Alibaba Cloud, which can help you quickly learn the concepts, usage, operations and solutions of Alibaba Cloud elastic computing related products. Related courses are as follows:
(Https://www.aliyun.com/support/courses)
● Online hands-on experimental exercises through the cloud sandbox in Alibaba Cloud ’s self-service experiment platform
(Https://edu.aliyun.com/lab)
Certification exam format and test paper structure:
1. Examination paper full score and examination time: Examination paper full score is 100 points and examination time is 120 minutes
2. Exam format: offline online test
3. Answering method: closed book
4. Contents of the test paper
Product name, proportion of test questions:
Bigcomp computing service Maxcompute: 55%; data workshop DataWorks: 20%; data integration: 10%; Quick BI: 5%; machine learning PAI: 5%; applications and architectures that cooperate with other cloud products: 5%
V. Question type
Question type, number of questions, and score: 50 multiple choice questions, 1 point each question; 30 multiple choice questions, 1 point each question; 20 judgment questions, 1 point each question.
6. Contents of test paper
Big data computing service exam content:
Familiar with the basic concepts of big data computing services, including project space, tables, partitions, resources, tasks, etc.
Understand the composition architecture and functions of big data computing services
Master the characteristics, advantages and applicable scenarios of big data computing services
Master the connection and use of big data computing services, including the use of clients, management consoles, JavaSDK, etc.
Master the data uploading and downloading of big data computing services, you can use the Tunnel command line tool to understand the Tunnel SDK
Master SQL commands for big data computing services, including DDL, DML, and common built-in functions
User-defined functions familiar with big data computing services, including UDF, UDAF, and UDTF, can write simple custom functions
Familiar with the MapReduce programming framework for big data computing services, you can configure the Eclipse environment and write simple MR programs
Understand the Graph programming framework of big data computing services, including basic concepts, processing flow, etc., you can write simple Graph programs
Understand the related concepts and usage methods of the big data computing service DataHub
Familiar with the concepts and practical operations of security and rights management of big data computing services, including users, roles, authorization (ACL & Policy), project space protection, exceptions, and security levels, etc.
Data Workshop DataWorks exam content:
Familiar with the basic functional modules of DataWorks, including data development, data management, operation and maintenance center, organization management and project management, etc.
Understand the basic characteristics of DataWorks, including role isolation, environment isolation, etc.
You can use the project management and organization management modules to build the environment
Proficient in the design and development of DataWorks data development modules, including table building, task development, resource upload, data upload, new functions, etc.
Proficiency in the use of DataWorks data development module for the development and design of workflow tasks and node tasks, and can configure appropriate dependencies and periodic scheduling
Skilled use of data management module for data management, including blood line analysis, use permission application and authorization of forms, etc.
Recognize and locate problems that occur during use, and fix basic problems
Data integration exam content:
Understand the basic concepts and workflow of data integration
Skilled in using data integration for data synchronization in multiple scenarios, from different data sources to synchronize data to big data computing services
Understand DataX components in data integration, including concepts, functions, and practical use
Understand and correctly use field mapping, constant usage, variable usage, import and export rules in data integration, etc.
Understand the best practices of data integration, such as split key configuration
Ability to troubleshoot common problems during use and solve basic problems
Dirty data in data integration can be processed correctly
QuickBI exam content:
Understand QuickBI product features and usage scenarios
Master basic operations such as service provisioning, data source configuration, data analysis, etc.
Understand the applicable scenarios and usage methods of various common statistical charts
Ability to use Quick BI for dashboard design and report portal design
● Machine learning PAI exam content:
Understand the basics of machine learning
Master common machine learning algorithms
Ability to use machine learning PAI for data processing and exploratory statistical analysis of data sets
Ability to use machine learning PAI for data analysis such as clustering and classification of data sets
Ability to use DataWorks to deploy models in applied machine learning
● Application and architecture exam content:
Understand the characteristics and application scenarios of other related cloud products, including cloud database RDS, distributed relational database DRDS, and table storage (Table Store), analytical database (Analytic DB), object storage OSS, etc.
Learn how big data computing services, data workshop DataWorks, data integration, QuickBI, and machine learning PAI are used in conjunction with other related products
Can design a reasonable infrastructure based on actual application scenarios and the characteristics of Alibaba Cloud products
