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H13-711 Exam Questions & Answers
HCIA Big Data V2.0 • Huawei
201 Questions
Updated Sep 2026
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Sample H13-711 Questions
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Q1
MultipleChoice
What is wrong about Hive's architecture in Fusioninsight HD?
Correct Answer: A
Q2
MultipleChoice
In FusionlnsightHD system, which disk plans do cluster nodes need to consider? (Multiple choices)
Correct Answer: A, B, C, D
Q3
MultipleChoice
Which module is responsible for Fusioninsight Manager user data storage?
Correct Answer: D
Q4
MultipleChoice
What methods or interfaces does 86Loader provide for job management? (Multiple choices)
Correct Answer: A, B, C, D
Q5
MultipleChoice
The nodes in the Fusionlnsight HD cluster only have one network card installed, and a dual-plane isolation networking scheme can also be used.
Correct Answer: B
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Unlock All H13-711 QuestionsFrequently Asked Questions
The H13-711 is Huawei's associate-level certification for big data professionals, validating foundational knowledge of big data technologies and Huawei's big data solutions. It covers core concepts like distributed computing, data storage, and data processing frameworks essential for entry-level big data roles.
The exam covers key areas including big data fundamentals, Hadoop ecosystem components, distributed file systems, MapReduce programming, data warehouse concepts, and Huawei's proprietary big data platforms. Topics also include data collection, processing, analysis, and visualization technologies.
The exam typically consists of 60 questions with a duration of 90 minutes in a multiple-choice format. The passing score is generally 600 out of 1000 points, though this may vary by testing region and should be confirmed with official Huawei resources.
While there are no strict prerequisites, Huawei recommends having basic Linux knowledge, familiarity with programming concepts, and understanding of database fundamentals. Practical experience with big data technologies or completion of Huawei's HCIA Big Data training course is highly beneficial.
Preparation should include studying official Huawei training materials, taking practice exams, and gaining hands-on experience with Hadoop and related big data tools. Many candidates also benefit from enrolling in authorized training courses and joining study groups to discuss complex concepts.