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Huawei H13-711_V3.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Integration & Streaming15%- Loader data migration and synchronization
- Flume log collection architecture and configuration
- Kafka message queue principles and usage
Topic 2: Big Data Industry Overview & Basic Concepts10%- Big data application scenarios and challenges
- Development trends and characteristics of big data
- Huawei Kunpeng big data ecosystem
Topic 3: Distributed Storage & Coordination20%- ZooKeeper functions, architecture and application
- HBase architecture, data model and row-key design
- HDFS architecture, principles and operations
Topic 4: Huawei Big Data Platform & Solutions7%- FusionInsight/MRS architecture and components
- Typical big data solutions and use cases
Topic 5: Security & Other Components8%- LDAP and Kerberos authentication mechanism
- Elasticsearch and Redis overview
Topic 6: Distributed Computing Framework22%- YARN architecture, resource scheduling and management
- Spark core concepts, RDD, DataFrame and Spark SQL
- Flink stream processing fundamentals
- MapReduce programming model and workflow
Topic 7: Data Warehouse & Query Engine18%- Hive architecture, metastore, partitioning and bucketing
- File formats: ORC, Parquet, SequenceFile
- Hive execution engines: MapReduce, Tez, Spark

Huawei HCIA-Big Data V3.0 Sample Questions:

1. BelowcloseAtWhat does Flick's fault tolerance mechanism describe errors?

A) SaveThe point mechanism ensures thatAfter the program is upgraded or modified and developed, etC. Also able to restore from a saved state bit healthy boot
B) SavepointmechanismGuaranteed in real timeprogram operationrun time, even ifunexpectedlycan alsoEnterRowsinceIrecover
C) Chackpoint mechanismGuaranteed in real timeprogram operationrun time, even ifunexpectedlycan alsoEnterRowsinceIrecovercomplex
D) Chackpointmechanism guaranteesAfter the program is upgraded or modified and developed, etC. Also able to restore from a saved state bit healthy boot


2. About HDFSThe function of the NameNode, which one of the following descriptions is wrong?

A) Store file content
B) for storing metadata
C) Save the mapping relationship between file blocks and DataNodes
D) MaintenanceThe mapping relationship between Block ID and DataNode local file


3. Which service process manages the HBasel Region in the Hadoop platform?

A) HMaster
B) Zookeeper
C) DataNode
D) RegionServer


4. When the Loader of MRS creates a job, what is the role of the connector?

A) Provide optimization parameters to improve data import and export performance
B) Configure how jobs connect to external data sources
C) Make sure there are conversion steps
D) Configure how jobs connect to internal data sources


5. Regarding the alarm about insufficient disk capacity of Kafkat, which of the following analysis is incorrect for the possible reasons?

A) Caused by the failure of the rocker node
B) Unreasonable business planning results in uneven data distribution and makes some disks reach the upper limit of usage
C) The disk configuration used to store Kafka data (such as the number of disks, size, etC. ) cannot meet the current business data stream declaration, resulting in the disk usage reaching the upper limit
D) The data storage time is configured too long, and the accumulated data reaches the upper limit of the disk usage.


Solutions:

Question # 1
Answer: A,C
Question # 2
Answer: A,D
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: A

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