Important Alibaba ACA-BigData1 Exam Questions

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Alibaba ACA Big Data Certification Exam ACA-BigData1 Exam

Attempt the Alibaba Cloud Certified Associate practice test and solve real exam-like ACA-BigData1 questions to prepare efficiently and increase your chances of success. Our Alibaba ACA-BigData1 practice questions match the actual ACA Big Data Certification Exam format, helping you enhance confidence and improve performance. With our ACA-BigData1 practice exam software, you can analyze your performance, identify weak areas, and work on them effectively to boost your final Alibaba Cloud Certified Associate exam score.

Vendor: Alibaba
Exam Name: ACA Big Data Certification Exam
Registration Code: ACA-BigData1
Related Certification: Alibaba ACA Certification
Exam Audience:

Total Questions

78

Last Updated

24-08-2026

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Question: 1

Assume that Task 1 is configured to run at 02:00 each day. In this case, the scheduling system

automatically generates a snapshot at the time predefined by the periodic node task at 23:30 each day.

That is, the instance of Task 1 will run at 02:00 the next day. If the system detects the upstream task is

complete, the system automatically runs the Task 1 instance at 02:00 the next day.

Score 1

Question: 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?

Question: 3

MaxCompute takes Project as a charged unit. The bill is charged according to three aspects: the

usage of storage, computing resource, and data download respectively. You pay for compute and

storage resources by the day with no long-term commitments.

Score 1

Question: 4

There are various methods for accessing to MaxCompute, for example, through management console, client command line, and Java API. Command line tool odpscmd can be used to create, operate,

or delete a table in a project.

Score 1

Question: 5

MaxCompute SQL is suitable for processing less real-time massive data, and employs a

syntax similar to that of SQL. The efficiency of data query can be improved through

creating proper indexes in the table.

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