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100+ Free HCIA-Big Data Practice Questions

Pass your Huawei Certified ICT Associate - Big Data (H13-711 V3.5) exam on the first try — instant access, no signup required.

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What does an HBase Get with versions=3 return for an existing row?

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B
C
D
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2026 Statistics

Key Facts: HCIA-Big Data Exam

60

Approximate Questions

Huawei H13-711 V3.5

90 min

Time Limit

Huawei H13-711 V3.5

600/1000

Passing Score

Huawei H13-711 V3.5

USD 200

Exam Fee

Pearson VUE 2026

10

Topic Areas

HCIA-Big Data V3.5 outline

3 years

Certification Validity

Huawei certification policy

The Huawei H13-711 V3.5 exam runs 90 minutes with about 60 mixed-format questions and a 600/1000 passing score. The 2026 outline emphasizes HBase/Hive (20%) and Spark/Flink (20%), followed by HDFS/ZooKeeper, MapReduce/YARN, and Flume/Kafka at 12% each. The exam fee is USD 200 through Pearson VUE; certification is valid for 3 years.

Sample HCIA-Big Data Practice Questions

Try these sample questions to test your HCIA-Big Data exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1Which of the following is NOT one of the classic 5V characteristics used to describe big data?
A.Volume
B.Velocity
C.Variety
D.Visualization
Explanation: The 5Vs of big data are Volume (scale), Velocity (speed of generation/processing), Variety (structured/semi-structured/unstructured), Veracity (trustworthiness/quality), and Value (business worth). Visualization is a downstream analytics capability, not one of the defining 5V characteristics.
2Huawei's Kunpeng processor is primarily based on which CPU architecture?
A.x86
B.ARM
C.MIPS
D.RISC-V
Explanation: Huawei Kunpeng processors are built on the ARM architecture. The Kunpeng big data solution leverages ARM-based servers to provide a domestic, energy-efficient compute platform optimized for big data workloads such as Hadoop, Spark, and HBase.
3In a typical data lifecycle, which stage immediately follows data collection (ingestion)?
A.Data visualization
B.Data storage
C.Data archival
D.Data destruction
Explanation: The standard big data lifecycle is: collection (ingestion) -> storage -> processing/analysis -> visualization/application -> archival/destruction. After data is ingested via tools like Flume or Kafka, it must be persisted in a storage layer such as HDFS, HBase, or a data warehouse before downstream processing.
4In HDFS, which component is responsible for storing the file system namespace and tracking the locations of all blocks?
A.DataNode
B.NameNode
C.JournalNode
D.ResourceManager
Explanation: The NameNode is the master server in HDFS. It maintains the file system namespace (directory tree, file metadata, permissions) and tracks which DataNodes hold which blocks. DataNodes report block lists to the NameNode through periodic block reports.
5What is the default HDFS block size in Hadoop 3.x and Huawei FusionInsight MRS?
A.64 MB
B.128 MB
C.256 MB
D.512 MB
Explanation: The default HDFS block size in Hadoop 2.x/3.x and Huawei FusionInsight MRS is 128 MB. Larger blocks reduce NameNode memory pressure and seek overhead for sequential big data workloads. Hadoop 1.x used 64 MB, but that is no longer the modern default.
6What is the default HDFS replication factor used by FusionInsight MRS for production clusters?
A.1
B.2
C.3
D.5
Explanation: HDFS replicates each block to 3 DataNodes by default. The first replica is placed on the writer's local node, the second on a different rack, and the third on a different node in that same remote rack. This provides durability against single-node and single-rack failures.
7When an HDFS client writes a file, which component does it FIRST contact?
A.The closest DataNode
B.The NameNode
C.ZooKeeper
D.The Secondary NameNode
Explanation: The client first contacts the NameNode to create a file entry and request block allocations. The NameNode returns a list of DataNodes for the first block; the client then writes the block as a pipeline directly to those DataNodes. It does not stream the data through the NameNode.
8In an HDFS HA deployment with two NameNodes, which component is used to fence the failed NameNode and elect the new Active?
A.Standby NameNode
B.ZKFailoverController (ZKFC) with ZooKeeper
C.JournalNode quorum
D.ResourceManager
Explanation: HDFS HA uses ZKFailoverControllers, one per NameNode, that coordinate through a ZooKeeper ensemble to detect failures and elect a new Active NameNode. JournalNodes share edit logs between Active and Standby but do not handle leader election themselves.
9In HDFS rack-aware replication with replication factor 3, where is the SECOND replica placed by default?
A.On the same node as the first replica
B.On another node in the same rack as the first replica
C.On a node in a different rack from the first replica
D.On any random DataNode in the cluster
Explanation: HDFS default block placement puts replica 1 on the writer's local node, replica 2 on a node in a different rack (for rack-failure tolerance), and replica 3 on a different node in that same remote rack. This minimizes inter-rack bandwidth while still surviving a rack failure.
10In a ZooKeeper ensemble, what is the minimum number of nodes required to tolerate the failure of one server while still maintaining quorum?
A.2
B.3
C.4
D.5
Explanation: ZooKeeper requires a majority (quorum) of servers to be available. With 3 nodes, quorum is 2, so the ensemble can tolerate 1 failure. With 5 nodes, quorum is 3 and it can tolerate 2 failures. An ensemble of 2 cannot tolerate any failure because losing one breaks the majority.

About the HCIA-Big Data Exam

HCIA-Big Data is Huawei's Associate-level certification covering the FusionInsight big data stack. It validates foundational skills in HDFS, ZooKeeper, MapReduce, YARN, HBase, Hive, Spark, Flink, Kafka, Flume, ClickHouse, Elasticsearch, MRS, and DataArts Studio.

Questions

60 scored questions

Time Limit

90 minutes

Passing Score

600 / 1000

Exam Fee

USD 200 (Huawei Talent Online (delivered by Pearson VUE))

HCIA-Big Data Exam Content Outline

20%

HBase and Hive

HBase architecture (Master, RegionServer, MemStore, WAL, BlockCache, compaction), row-key design, Hive metastore, partitioning, bucketing, ORC/Parquet, ACID transactions, and Tez/Spark execution engines

20%

Spark and Flink

Spark RDD/DataFrame/Dataset, transformations vs actions, Catalyst optimizer, Structured Streaming, MLlib pipelines, plus Flink DataStream, watermarks, windows, checkpoints, RocksDB state backend, and exactly-once semantics

12%

HDFS and ZooKeeper

HDFS NameNode/DataNode roles, 128 MB block size, replication factor 3, rack awareness, HA with JournalNodes and ZKFC, erasure coding, plus ZooKeeper ensembles, znodes, watches, and quorum

12%

MapReduce and YARN

MapReduce phases (map, shuffle/sort, reduce, combiner), partitioner, input splits, YARN ResourceManager/NodeManager/ApplicationMaster, Capacity Scheduler queues, container memory, and HA

12%

Flume and Kafka

Flume Source/Channel/Sink (Memory, File, Kafka channels), TaildirSource, plus Kafka brokers, topics, partitions, ISR, producer acks, consumer groups, retention, and exactly-once transactions

8%

ClickHouse

Columnar OLAP design, MergeTree family (Replacing, Summing, Aggregating, Replicated), Distributed tables, ZooKeeper/Keeper coordination, skip indexes, and use cases versus OLTP

5%

Elasticsearch

Indexes, primary/replica shards, Lucene-backed inverted index, analyzers, match versus term queries, mappings, and aggregations

4%

MRS and FusionInsight Platform

Huawei MRS managed service, FusionInsight Manager console, OBS-based storage/compute decoupling, and Kerberos authentication for Hadoop services

4%

DataArts Studio

Data Integration (CDM), Data Development (DLF) orchestration, Data Quality (DQC), Data Catalog, Data Service, and Data Security modules

3%

Big Data Trends and Kunpeng

Big data 5V characteristics, data lifecycle, data lake versus data warehouse, star/snowflake schemas, ETL patterns, and Kunpeng ARM-based big data solution

How to Pass the HCIA-Big Data Exam

What You Need to Know

  • Passing score: 600 / 1000
  • Exam length: 60 questions
  • Time limit: 90 minutes
  • Exam fee: USD 200

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

HCIA-Big Data Study Tips from Top Performers

1Spend roughly 40% of your time on the two highest-weight blocks: HBase/Hive and Spark/Flink (40% combined exam weight)
2Memorize core architecture diagrams: HDFS NameNode/DataNode, YARN RM/NM/AM, HBase Master/RegionServer, and Kafka broker/partition/ISR
3Practice differentiating Spark transformations vs actions, and Flink event-time vs processing-time windowing with watermarks
4Drill HBase row-key design, column family count, and compaction tradeoffs - these appear as scenario questions
5Learn the Huawei-specific brand names: MRS, FusionInsight Manager, DataArts Studio (CDM, DLF, DQC), OBS, and Kunpeng

Frequently Asked Questions

What is the Huawei HCIA-Big Data H13-711 V3.5 exam format?

The exam is 90 minutes long, contains roughly 60 questions in single-answer, multiple-answer, true/false, short response, and drag and drop formats, and is delivered at Pearson VUE testing centers. The passing score is 600 out of 1000.

How much does the HCIA-Big Data exam cost?

The HCIA-Big Data H13-711 exam fee is USD 200 per attempt, paid through Pearson VUE. Huawei does not offer a discounted retake price, and a 14-day waiting period applies between failed attempts.

What are the HCIA-Big Data V3.5 topic weights?

Per the current Huawei outline: HBase and Hive 20%, Spark and Flink 20%, HDFS and ZooKeeper 12%, MapReduce and YARN 12%, Flume and Kafka 12%, ClickHouse 8%, Elasticsearch 5%, MRS 4%, DataArts Studio 4%, and Big Data Trends/Kunpeng 3%.

Is HCIA-Big Data V3.0 still valid?

No. Huawei retired H13-711 V3.0 on June 16, 2023. New candidates should prepare for the V3.5 outline, which adds ClickHouse, expands Spark/Flink, and aligns with the latest FusionInsight platform.

What languages is the HCIA-Big Data exam offered in?

The H13-711 V3.5 exam is offered in Chinese and English (with Spanish noted in some regional listings). Candidates choose their language during Pearson VUE registration.

How long is the HCIA-Big Data certification valid?

Huawei HCIA certifications are valid for 3 years. Recertify by passing the current version of the exam, passing a higher-level Huawei certification (HCIP/HCIE), or following Huawei's certification renewal program.