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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Core Big Data Technologies | 12% | - Elasticsearch and Redis basics - Hive data warehouse - ZooKeeper coordination service - Flume, Kafka data ingestion - HDFS and distributed storage principles - Spark and Flink processing frameworks - LDAP and Kerberos security mechanisms - MapReduce and YARN - HBase NoSQL database |
| Big Data Fundamentals | 3% | - Huawei Kunpeng big data architecture overview - Industry development trends and characteristics of big data |
| Huawei Big Data Solutions | - Huawei big data product architecture - Industry use cases and success stories - Solution deployment and application scenarios |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Fusioninsight tool is a set of health detection tools provided for technical support engineers and maintenance engineers. It can check the health status of cluster-related nodes and services, discover potential problems in the cluster in advance, and generate health check reports. It is convenient for technical support engineers and maintenance engineers to quickly understand the health status of the system.
A) True
B) False
2. How many nodes are required to install the Nimbus role of the Streaming component of FusionInsight HD?
A) 4
B) 3
C) 2
D) 1
3. Fl?Me is akind of distributed. highreliable and highavailableofClothesservice. useto be effectivecompare?,polymerization?Move a lot of logs? ?.
A) FALSE
B) TRUE
4. Hive is a data warehouse infrastructure built on Hadoop. It provides a set of tools that can be used to perform extract-transform-load (ETL), a mechanism for storing, querying, and analyzing large-scale data stored in Hadoop.
A) True
B) False
5. The following cloud search service CSSIs the description correct?
A) The expansion of nodes and disk services is not interrupted, and the update thesaurus service is not interrupted.
B) Does not support the fusion search of rich text and text such as voice
C) Level data retrieval returns in seconds, billion-level 100-dimensional star retrieval returns in seconds
D) Compatible with Elasticsearch APIs
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A,C,D |






