Updated: Sep 11, 2026
No. of Questions: 500 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIA-Big Data |
| Exam Number: | H13-711-ENU |
| Related Certifications: | HCIP-Big Data HCIE-Big Data |
| Passing Score: | 600/1000 |
| Exam Format: | Single-answer questions, Multiple-answer questions, Short-answer questions, True or false, Drag and drop |
| Available Languages: | Spanish, English, Chinese |
| Exam Duration: | 90 minutes |
| Exam Price: | USD 200 |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 3 years |
| Recommended Training: | HCIA-Big Data Official Training Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Huawei H13-711-ENU Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; basic knowledge of big data concepts and IT foundation recommended |
| Official Syllabus URL: | https://edu.huaweicloud.com/intl/en-us/certificationindex/career/bde.html |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Kunpeng big data solution overview - Big data industry development and characteristics |
| Topic 2: HBase - Distributed NoSQL Database | 10% | - HBase operation and application - HBase architecture and data storage |
| Topic 3: MapReduce and YARN | 12% | - YARN resource management and scheduling - MapReduce programming model and execution process |
| Topic 4: HDFS and ZooKeeper | 12% | - HDFS architecture and working mechanism - ZooKeeper principles and application scenarios |
| Topic 5: Data Integration and Security | 9% | - LDAP and Kerberos security authentication - Loader data migration tool |
| Topic 6: Hive - Distributed Data Warehouse | 10% | - Hive SQL and data operation - Hive architecture and data model |
| Topic 7: Spark - Distributed Computing Framework | 10% | - Spark RDD and DataFrame - Spark core concepts and architecture |
| Topic 8: Data Collection: Flume and Kafka | 12% | - Kafka message system principle and application - Flume data collection mechanism |
| Topic 9: Flink - Stream Processing Framework | 10% | - Flink application development - Flink architecture and stream processing model |
Question 1
Which parameter needs to be configured to set the maximum amount of resources used by queue QueueA in YARN?
A. yarn.scheduler.capacity.root.QueueA.minimum-user-limit-percent
B. yarn.scheduler.capacity.root.QueueA.state
C. yarn.scheduler.capacity.root.QueueA.maximum-capacity
D. yarn.scheduler.capacity.root.Queueuser-limit-factor
Question 2
The core concept of MapReduce is to decompose a large computing task to each node of the cluster, make full use of cluster resources, and shorten the running time.
A. False
B. True
Question 3
What configuration files can the Fusioninsight HD LLD configuration planning tool generate? (Multiple choice)
A. Monitoring Alert Threshold Profiles
B. The installation template file for the cluster
C. The configuration file CheckNodes.Config required to execute Precheck
D. Configuration files for HDFS and YARN
Question 4
Flink supports Local mode and Cluster mode deployment, and other mode deployments are not currently supported.
A. False
B. True
Question 5
The process of OpenScanner in HBase will create two different Scanners to read the data of HFile and MemStore. The Scanner corresponding to HFile is StoreFileScanner, and the Scanner corresponding to MemStore is MemStoreScanner.
A. True
B. wrong
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: B,C | Question 4 Answer: A | Question 5 Answer: A |
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