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Huawei H13-711_V3.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HBase & Hive | 20% | - HBase architecture, data model, design and operation - Hive data warehouse principle, table design, SQL and optimization |
| Topic 2: Flume & Kafka | 12% | - Kafka message system, storage, transmission and application - Flume data collection mechanism and configuration |
| Topic 3: MapReduce & YARN | 12% | - MapReduce programming model and execution process - YARN architecture, resource scheduling and management |
| Topic 4: ClickHouse & Elasticsearch | 8% | - ClickHouse architecture, storage and query features - Elasticsearch search engine, indexing and analysis |
| Topic 5: Spark & Flink | 20% | - Spark core architecture, RDD, DataFrame, SQL and streaming processing - Flink stream processing, architecture, API and application development |
| Topic 6: Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - DataArts Studio data development and governance - MRS platform architecture, components and operation |
| Topic 7: Big Data Industry Overview & Basic Concepts | 8% | - Development trend and characteristics of big data - Application scenarios and value of big data - Huawei Kunpeng big data ecosystem |
| Topic 8: HDFS & ZooKeeper | 12% | - ZooKeeper core functions and working mechanism - HDFS architecture, principle and operation |
Huawei HCIA-Big Data V3.5 Sample Questions:
1. Kerberos can only provide security authentication for services in the cluster.
A) False
B) True
2. In the flume architecture, a Source can connect to multiple channels.
A) False
B) True
3. Which of the following descriptions about the characteristics of big data and traditional database data is wrong?
A) Big data is the data processing of "fish in the pond", with a clear goal; the data processing of traditional databases is to judge whether other kinds of "fish" exist through certain "fish"
B) In big data, there is no unified data tool, that is, "No size fits all"; in traditional databases, in a specific business scenario, often one tool can solve a problem, that is, "One size fits all" all"
C) There are many types of data processed by big data, including structured, unstructured and semi- structured data; the types of data in traditional databases are relatively single, often structured data
D) The data scale of big data is very large, and TB and PB are generally used as data processing units; the data scale in traditional databases is generally small, and MB is often used as data processing units
4. What is the resource management framework that comes with Spark?
A) Standalone
B) YARN
C) Docker
D) Mesos
5. On the Fusioninsight HD platform, HBase does not currently support secondary indexes.
A) False
B) True
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |
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