The ACA Big Data Certification Exam (ACA-BigData1) validates your ability to design, deploy, and manage big data solutions on Alibaba Cloud. This certification is ideal for data engineers, cloud architects, and IT professionals who work with large-scale data processing. This page guides you through the exam structure, core topics, and practical preparation strategies to help you succeed. Whether you're new to Alibaba Cloud or building on existing experience, understanding the syllabus and question formats is the first step toward confident exam performance.
Use this topic map to guide your study for Alibaba ACA-BigData1 (ACA Big Data Certification Exam) within the Alibaba Cloud Certified Associate path.
The ACA Big Data Certification Exam combines knowledge-based and scenario-driven items to assess both theoretical understanding and practical decision-making. Questions progress in difficulty, reflecting real-world complexity.
Together, these formats evaluate your ability to apply knowledge in production-like conditions and make sound technical decisions under constraints.
Effective preparation requires a structured study plan that maps topics to weekly goals and reinforces connections between MaxCompute, DataWorks, and E-MapReduce. Allocate time proportionally to your weaker areas and practice with realistic scenarios.
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MaxCompute and DataWorks typically account for the majority of questions, with emphasis on practical job design and troubleshooting. E-MapReduce covers cluster management and resource optimization but represents a smaller portion. Focus your study time on MaxCompute SQL optimization and DataWorks workflow orchestration first, then deepen your E-MapReduce knowledge.
In a typical workflow, DataWorks orchestrates data ingestion and scheduling, MaxCompute processes and transforms the data using SQL, and E-MapReduce handles large-scale batch jobs or streaming workloads when needed. Understanding this integration is critical: DataWorks calls MaxCompute tasks, and both can leverage E-MapReduce clusters for specific compute patterns. Study how data flows through these services and when to choose each one.
Hands-on experience significantly improves exam confidence and performance. Prioritize labs that cover table creation and SQL queries in MaxCompute, building and scheduling a DataWorks pipeline, and launching a simple E-MapReduce cluster. Even a few hours of practice in each service helps you recognize configuration patterns and common errors during the exam.
Many candidates confuse MaxCompute table partitioning with clustering, misunderstand DataWorks task dependency logic, or overlook E-MapReduce resource allocation constraints. Others rush through scenario questions without fully analyzing requirements, leading to suboptimal architectural choices. Read each question carefully, identify the business constraint, and verify your answer against that constraint before moving on.
Use the final week to take a full-length practice test, review your weak areas, and study high-frequency concepts in isolation. Avoid learning entirely new topics; instead, reinforce what you already know. On the day before the exam, do a light review of key definitions and rest well to ensure mental clarity during the test.
DataService Studio in DataWorks aims to build a data service bus to help enterprises centrally
manage private and public APIs. DataService Studio allows you to quickly create APIs based on data
tables and register existing APIs with the DataService Studio platform for centralized management and
release. Which of the following descriptions about DataService Studio in DataWorks is INCORRECT?
Score 2
You are working on a project where you need to chain together MapReduce, Hive jobs. You also need the ability to use forks, decision points, and path joins. Which ecosystem project should you use to perform these actions?
Apache Spark included in Alibaba E-MapReduce(EMR) is a fast and general-purpose cluster computing
system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports
general execution graphs. It also supports a rich set of higher-level tools. Which of the following tools
does not be included in Spark?
Score 2
In DataWorks table permission system, you can revoke permissions only on the fields whose security level is higher than the security level of your account.
Score 1
When odpscmd is used to connect to a project in MaxCompute, the command ______ can be
executed to view the size of the space occupied by table table_a.
Score 2