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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Core Technologies | - Hive distributed data warehouse fundamentals - Loader data conversion - Elasticsearch distributed search - HBase technical principles - LDAP & Kerberos authentication basics - Redis in-memory database - MapReduce & YARN technical principles - Spark in-memory distributed computing - HDFS and ZooKeeper technical principles - Flume log aggregation - Kafka distributed messaging - Flink stream & batch processing | |
| Huawei Big Data Solutions | 4% | - Huawei big data solution features |
| Big Data Fundamentals | 3% | - Big data concepts and industry trends - Huawei Kunpeng big data overview |
Huawei HCIA-Big Data V3.0 Sample Questions:
Question 1
HDFS supports large file storage, and supports multiple users' write operations to the same file, as well as modification at any position of the file.
A. True
B. False
Question 2
What is the core module of spark?
A. spark core
B. spark streaming
C. mapreduce
D. spark sql
Question 3
On the FusionInsight Manager interface, when a warning about insufficient kafka wipe disk capacity is received, and the cause of the warning has been eliminated from the hard disk hardware failure, the system administrator needs to consider expanding the capacity to solve this problem.
A. True
B. False
Question 4
The index data of ElasticSearch can only be stored in the HDFS system.
A. True
B. False
Question 5
The following statements about Kafka Partitioni are correct
A. The introduction of the Partition mechanism ensures the high throughput of Kafkal
B. Each Partition is an ordered and immutable message queue
C. Each Partition corresponds to a log file at the storage level
D. The number of Partitions determines the maximum number of concurrent consumers in each consumer group
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: A,B,C,D |






