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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Core Technologies | - Flink stream & batch processing - Hive distributed data warehouse fundamentals - MapReduce & YARN technical principles - LDAP & Kerberos authentication basics - HDFS and ZooKeeper technical principles - Loader data conversion - Spark in-memory distributed computing - Flume log aggregation - Redis in-memory database - HBase technical principles - Kafka distributed messaging - Elasticsearch distributed search | |
| Topic 2: Big Data Fundamentals | 3% | - Huawei Kunpeng big data overview - Big data concepts and industry trends |
| Topic 3: Huawei Big Data Solutions | 4% | - Huawei big data solution features |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Spark divides Stages according to the dependencies of RDDs. The scheduler starts from the end of the DAG graph and traverses the entire dependency chain in reverse. When encountering narrow dependencies, it is disconnected, and when encountering wide dependencies, it is added to the current Stage.
A) False
B) True
2. ElWhat processing capabilities does asticSearch have for structured, semi-structured, and unstructured data?
A) to enterA series of operations such as line cleaning, word segmentation, and establishment of an inverted index
B) numberOptional rewrite when data is writtendeleteand compression function
C) Provides the ability to search full text, conditions can include words or phrases
D) The written data can be checked in real timeSow
3. There is no single point of failure in the Discovery module of elasticSearch.
A) TRUE
B) FALSE
4. When a Spark application is running, if a certain task fails to run, the entire app fails to run.
A) False
B) True
5. Map Reducein MaThe combine in stage p is a pre-grouping process and is optional.
A) TRUE
B) FALSE
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |




