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100+ Free HCIP-Big Data Developer Practice Questions

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Which Kafka feature persists schemas centrally and lets producers and consumers serialize Avro/Protobuf/JSON-schema records compatibly across versions?

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Key Facts: HCIP-Big Data Developer Exam

90 min

Exam Duration

Huawei H13-723

600/1000

Passing Score

Huawei Career Cert

$300

Exam Fee

Pearson VUE 2026

4

Domains

H13-723 V2.0 outline

3 years

Validity

Huawei Career Cert

Pearson VUE

Test Provider

Huawei

The HCIP-Big Data Developer (H13-723) exam runs 90 minutes, costs $300 USD via Pearson VUE, and uses a 600/1000 passing score. Items mix single-answer, multiple-answer, true/false, short response, and drag-and-drop questions across four domains: Overall Guide (15%), Offline Batch (25%), Real-time Retrieval (30%), and Real-time Stream Computing (30%). The credential is valid for 3 years.

Sample HCIP-Big Data Developer Practice Questions

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

1In FusionInsight HD, which component provides centralized cluster management, monitoring, and alarm handling for all big data services?
A.Manager
B.Loader
C.CarbonData
D.DBService
Explanation: FusionInsight Manager is the unified cluster management component that handles installation, monitoring, configuration, alarm management, and operations across all FusionInsight services such as HDFS, YARN, Hive, HBase, Spark, Flink, and Kafka. It exposes a web UI and a REST API for automation.
2A FusionInsight HD cluster runs in security mode. Which authentication mechanism is used by default for service-to-service and user authentication?
A.LDAP simple bind
B.Kerberos
C.OAuth 2.0 bearer tokens
D.Mutual TLS only
Explanation: FusionInsight HD security mode uses Kerberos as the underlying authentication protocol. Users and service principals obtain TGTs from the KDC, and component daemons use keytabs to authenticate non-interactively. Kerberos integrates with HDFS, YARN, Hive, HBase, Spark, Flink, and Kafka.
3Which FusionInsight component provides fine-grained authorization (column, row, and tag-level) for Hive, HDFS, HBase, and Kafka?
A.Apache Ranger
B.Apache Sentry
C.FusionInsight Manager ACLs only
D.Linux PAM
Explanation: FusionInsight HD integrates Apache Ranger for centralized, fine-grained authorization. Ranger policies cover Hive (database/table/column), HDFS paths, HBase tables/column families, Kafka topics, and YARN queues, including row-level filters and column masking.
4An application must authenticate to a Kerberized FusionInsight cluster from a long-running daemon. Which artifact pair is appropriate for non-interactive authentication?
A.Username and password
B.Principal and keytab
C.OAuth client_id and client_secret
D.SSH key pair
Explanation: Long-running services authenticate to Kerberos using a service principal plus a keytab file. The keytab stores encrypted keys so the daemon can obtain tickets without an interactive password prompt. JAAS configuration references both values for the LoginModule.
5Which HDFS feature horizontally scales the NameNode by partitioning the namespace across multiple independent NameNodes that share the same DataNode pool?
A.HDFS High Availability with QJM
B.HDFS Federation
C.HDFS Erasure Coding
D.HDFS Router-based Federation only
Explanation: HDFS Federation horizontally scales the namespace by allowing multiple independent NameNodes, each managing a portion of the namespace, while DataNodes register with all of them and serve blocks. This removes the single-NameNode memory and throughput limits.
6Compared to 3x replication, what is the approximate storage overhead of HDFS Erasure Coding using the RS(6,3) policy?
A.Around 50% (1.5x)
B.Around 100% (2x)
C.Around 200% (3x)
D.Around 33% (1.33x)
Explanation: With Reed-Solomon RS(6,3), six data cells are protected by three parity cells, so the storage overhead is 9/6 = 1.5x of the raw data, versus 3x with traditional replication. EC trades CPU for storage efficiency and is best for cold or warm data.
7Which HDFS feature provides at-rest encryption at the directory level using keys managed by a Key Management Server (KMS)?
A.dfs.encrypt.data.transfer
B.HDFS encryption zones
C.HDFS snapshots
D.Transparent Data Encryption on RocksDB
Explanation: HDFS encryption zones encrypt data at rest transparently. Each zone has an encryption key stored in KMS; per-file Data Encryption Keys are wrapped by the zone key. Reads and writes within an encryption zone are encrypted/decrypted at the client.
8An administrator needs a point-in-time, read-only copy of an HDFS directory for backup and accidental-delete recovery without copying data. Which feature should be used?
A.distcp -snapshot
B.HDFS snapshots
C.HDFS trash
D.HDFS quotas
Explanation: HDFS snapshots create point-in-time read-only copies of directories using copy-on-write metadata, so they consume almost no extra space until files change. They are commonly used for backup baselines, undo of accidental deletes, and consistent distcp source images.
9Which HDFS tool rebalances block distribution across DataNodes when nodes are added or storage utilization is uneven?
A.hdfs mover
B.hdfs balancer
C.hdfs fsck
D.hdfs dfsadmin -refreshNodes
Explanation: The hdfs balancer redistributes blocks among DataNodes so that utilization on each node falls within a configurable threshold of the cluster average. It is typically run after adding nodes or after large data churn.
10A YARN administrator must guarantee that production queues always receive a minimum capacity while allowing elastic borrowing from idle queues. Which scheduler best fits this requirement out of the box?
A.FIFO Scheduler
B.Capacity Scheduler
C.Fair Scheduler with FIFO policy only
D.Default ResourceManager scheduler with no queues
Explanation: The Capacity Scheduler is designed for multi-tenant clusters with guaranteed minimum capacity per queue and elasticity to borrow unused capacity from sibling queues, with limits set by maximum-capacity. It is FusionInsight's default for YARN multi-tenancy.

About the HCIP-Big Data Developer Exam

The HCIP-Big Data Developer (H13-723) is Huawei's professional-level certification for big data application developers. It validates the ability to build and tune offline batch, real-time retrieval, and real-time stream computing solutions on Huawei FusionInsight HD using HDFS, YARN, Hive, HBase, Phoenix, Spark, Flink, Kafka, Elasticsearch/Solr, CarbonData, and GaussDB(DWS).

Questions

60 scored questions

Time Limit

90 minutes

Passing Score

600 / 1000

Exam Fee

$300 USD (Huawei (delivered via Pearson VUE))

HCIP-Big Data Developer Exam Content Outline

~15%

Big Data Application Development Overall Guide

FusionInsight HD architecture, Manager, ZooKeeper, Kerberos, Ranger, HDFS Federation/Erasure Coding/snapshots/balancer, YARN Capacity Scheduler/DRF/node labels/opportunistic containers, Lambda vs Kappa architecture.

~25%

Big Data Offline Batch Processing Scenario-based Solution

Hive UDF/UDAF/UDTF, Tez engine, ACID transactions, materialized views, vectorization and CBO; Spark RDD/DataFrame, Catalyst optimizer, AQE, dynamic partition pruning, Spark MLlib pipelines and ALS; Loader for relational ingestion; Hudi/Iceberg lakehouse formats.

~30%

Big Data Real-time Retrieval Scenario-based Solution

HBase coprocessors (Observer/Endpoint), BulkLoad, region split policies, replication, BlockCache, row-key design; Apache Phoenix SQL with secondary indexes and salting; Elasticsearch index/shard/refresh model and ILM; SolrCloud collections; CarbonData segments; GaussDB(DWS) MPP and column store.

~30%

Big Data Real-time Stream Computing Scenario-based Solution

Flink event time, watermarks, allowed lateness, window types, state backends (RocksDB), checkpoints vs savepoints, two-phase commit exactly-once, CEP, Flink SQL; Spark Structured Streaming micro-batch, output modes, foreachBatch; Kafka transactions, idempotent producer, Schema Registry, Connect, Streams, cooperative rebalance.

How to Pass the HCIP-Big Data Developer Exam

What You Need to Know

  • Passing score: 600 / 1000
  • Exam length: 60 questions
  • Time limit: 90 minutes
  • Exam fee: $300 USD

Keys to Passing

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

HCIP-Big Data Developer Study Tips from Top Performers

1Spend the most time on real-time domains - retrieval and stream computing together account for 60% of the exam
2Practice on FusionInsight HD if available; otherwise use open-source Hadoop, HBase, Spark, Flink, and Kafka in a lab cluster
3Memorize key Flink concepts: event time vs processing time, watermarks, allowed lateness, state backends, and checkpoints vs savepoints
4Drill HBase row-key design, coprocessors, BulkLoad, and Phoenix secondary indexes - these recur across questions
5For Spark, focus on AQE, dynamic partition pruning, Catalyst, broadcast joins, and Structured Streaming output modes

Frequently Asked Questions

What is the HCIP-Big Data Developer (H13-723) exam format?

The H13-723 exam runs 90 minutes and uses a mix of single-answer, multiple-answer, true/false, short response, and drag-and-drop questions. Scoring is on a 0-1000 scale with a 600 passing mark. The exam is delivered through Pearson VUE testing centers and online proctoring.

What are the four HCIP-Big Data Developer exam domains?

The four official domains are: Big Data Application Development Overall Guide (~15%), Big Data Offline Batch Processing Scenario-based Solution (~25%), Big Data Real-time Retrieval Scenario-based Solution (~30%), and Big Data Real-time Stream Computing Scenario-based Solution (~30%).

How much does the H13-723 exam cost?

The HCIP-Big Data Developer (H13-723) exam fee is $300 USD when scheduled through Pearson VUE. Regional pricing may vary slightly based on local taxes and currency conversion.

What is the passing score for HCIP-Big Data Developer?

The passing score is 600 out of 1000 points, consistent with most Huawei HCIP-level career certifications.

Do I need HCIA-Big Data before taking HCIP-Big Data Developer?

HCIA-Big Data is not strictly required, but it is strongly recommended. The HCIP curriculum assumes solid foundations in HDFS, YARN, Hive, HBase, Spark, Flink, and Kafka, all of which are covered at the associate level.

How long is the HCIP-Big Data Developer certification valid?

Huawei Career Certifications are valid for 3 years. To maintain the credential, candidates must recertify by passing the current version of the exam or a higher-level exam in the same track before expiration.