H13-711_V3.5 Exam Questions And Answers, H13-711_V3.5 Reliable Exam Syllabus

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Huawei H13-711_V3.5 Exam Syllabus Topics:

SectionObjectives
Topic 1: Big Data Platform Security- Security authentication and permission management (Kerberos, Ranger, LDAP)
- Data encryption and desensitization
- Platform security design
Topic 2: Big Data Platform Components- HDFS distributed file system
- HBase distributed database
- YARN resource scheduling
- GES (Graph Engine Service) concepts and application scenarios
- Spark memory computing framework
- Sqoop data import/export
- GES graph engine service
- Kafka distributed message queue
- Hadoop ecosystem overview
- Elasticsearch search engine
- DataArt Studio data development platform
- Flume log collection
- ClickHouse columnar database
- Hive data warehouse
- Flink stream computing framework
- MapReduce computing framework
Topic 3: Big Data Development Practice- Typical big data application cases
- Real-time and batch data processing
- Data loading and ETL processing
- Data visualization and analysis
Topic 4: Big Data Application Scenarios- Big data strategy and data governance overview
- Industry pain points and application scenarios of big data
Topic 5: FusionInsight HD Overview- Huawei FusionInsight HD architecture and features
- MRS service component introduction
- Cluster management and O&M basics

>> H13-711_V3.5 Exam Questions And Answers <<

Huawei H13-711_V3.5 Reliable Exam Syllabus, H13-711_V3.5 Valid Dumps Demo

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Huawei HCIA-Big Data V3.5 Sample Questions (Q108-Q113):

NEW QUESTION # 108
The data node is the working node of HDFS. What are its functions described below? (Multiple choice)

Answer: B,C,D


NEW QUESTION # 109
What are the main characteristics of technologies related to big data analysis? (Multiple choice)

Answer: A,C,D


NEW QUESTION # 110
When the loader in Fusioninsight HD imports files from the SFTP server, which one of the following is the fastest file type that does not require code conversion and data conversion?

Answer: B


NEW QUESTION # 111
Which of the following statements about the interaction between Flink and other components is correct? (Multiple choice)

Answer: A,B,C,D


NEW QUESTION # 112
Spark divides the 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 it encounters narrow dependencies, it disconnects, and when it encounters wide dependencies, it adds them to the current stage.

Answer: A


NEW QUESTION # 113
......

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