Huawei H13-711_V3.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HDFS & ZooKeeper | 12% | - ZooKeeper core functions and working mechanism - HDFS architecture, principle and operation |
| Topic 2: Big Data Industry Overview & Basic Concepts | 8% | - Application scenarios and value of big data - Development trend and characteristics of big data - Huawei Kunpeng big data ecosystem |
| Topic 3: Flume & Kafka | 12% | - Flume data collection mechanism and configuration - Kafka message system, storage, transmission and application |
| Topic 4: Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - MRS platform architecture, components and operation - DataArts Studio data development and governance |
| Topic 5: MapReduce & YARN | 12% | - MapReduce programming model and execution process - YARN architecture, resource scheduling and management |
| Topic 6: Spark & Flink | 20% | - Flink stream processing, architecture, API and application development - Spark core architecture, RDD, DataFrame, SQL and streaming processing |
| Topic 7: ClickHouse & Elasticsearch | 8% | - Elasticsearch search engine, indexing and analysis - ClickHouse architecture, storage and query features |
| Topic 8: HBase & Hive | 20% | - HBase architecture, data model, design and operation - Hive data warehouse principle, table design, SQL and optimization |
Huawei HCIA-Big Data V3.5 Sample Questions:
Question #1
What is the purpose of the HBase cluster regularly executing Compaction? (Multiple choice)
A. Improve data reading performance
B. Improve data writing ability
C. Reduce the number of files under the same ColumnFamily in the same Region
D. Reduce the number of files in the same Region
Question #2
In many small file scenarios, Spark will start many tasks. When there is a Shuffle operation in the SQL logic, the number of hash buckets will be greatly increased, which will seriously affect the performance. In Fusioninsight, the () operator is usually used for small file scenarios to merge the partitions generated by the small files in the Table to reduce the number of partitions, so as to avoid generating too many hash buckets during shuffle and improve performance.
A. group by
B. connection
C. join
D. coalosce
Question #3
Which of the following descriptions about the HBase storage model is correct? (Multiple choice)
A. The same key value key is associated with multiple values
B. KeyValue has key information such as timestamp and type
C. Even if there are multiple KeyValues with the same key value and the same Qualifier, there may be multiple KeyValues. At this time, time stamps are used to distinguish
D. Each KeyValue has a Qualifier logo
Question #4
Which of the following descriptions about FusionInsight multi-tenant management is correct?
(Multiple choice)
A. Visual multi-level tenant management, which matches the organizational structure of the enterprise and simplifies system resource allocation and management
B. A multi-level tenant model that matches the organizational structure of the enterprise. Different departments correspond to different tenants, and tenants can be dynamically added or deleted as needed.
C. Isolation of tenant resources based on container mechanism to protect tenant SLA
D. One-stop management of tenant resources, computing resources (CPU/memory/IO), storage resources (HDFS), service resources (HBase...)
Question #5
Spark, like Hadoop, is not suitable for iterative computing.
A. False
B. True
Solutions:
| Question #1 Correct Answer: A,B,C | Question #2 Correct Answer: C | Question #3 Correct Answer: A,B,C,D | Question #4 Correct Answer: A,B,C,D | Question #5 Correct Answer: A |
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