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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Industry Overview & Basic Concepts | 10% | - Big data application scenarios and challenges - Huawei Kunpeng big data ecosystem - Development trends and characteristics of big data |
| Topic 2: Distributed Storage & Coordination | 20% | - ZooKeeper functions, architecture and application - HBase architecture, data model and row-key design - HDFS architecture, principles and operations |
| Topic 3: Security & Other Components | 8% | - Elasticsearch and Redis overview - LDAP and Kerberos authentication mechanism |
| Topic 4: Distributed Computing Framework | 22% | - Flink stream processing fundamentals - MapReduce programming model and workflow - Spark core concepts, RDD, DataFrame and Spark SQL - YARN architecture, resource scheduling and management |
| Topic 5: Data Integration & Streaming | 15% | - Loader data migration and synchronization - Flume log collection architecture and configuration - Kafka message queue principles and usage |
| Topic 6: Huawei Big Data Platform & Solutions | 7% | - Typical big data solutions and use cases - FusionInsight/MRS architecture and components |
| Topic 7: Data Warehouse & Query Engine | 18% | - File formats: ORC, Parquet, SequenceFile - Hive execution engines: MapReduce, Tez, Spark - Hive architecture, metastore, partitioning and bucketing |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. If HDFS is deployed with a single name node, what limitations may exist? (multiple choice)
A) Failure of this unique name node will render the entire cluster unavailable
B) The amount of leaf swallowing of the entire distributed file system is limited by the throughput of a single name node
C) The number of objects (files, blocks) that a name node can hold is limited by the size of the memory space
D) It will affect the functional implementation of the upper-level components based on HDFS
2. Batch processing of high-value and highly aggregated information and knowledge is the main business requirement of the big data industry
A) False
B) True
3. Redis adopts a non-central self-organizing structure. Nodes use the Gossip protocol to exchange node status information.
A) FALSE
B) TRUE
4. As an authentication server center, Kerberos1 can provide unified authentication services to all services in the cluster and secondary development applications of customers.
A) False
B) True
5. Hiveis establishedHadccpdata warehouse basefoundationframework. itcarryProvides a range of tools that can be used to performaccording to?Extractive loading?,Thisis a possiblestorage,? ?Analysis is stored inH?The mechanism of large numbers in.
A) FALSE
B) TRUE
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B |
