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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Industry Overview & Basic Concepts | 10% | - Big data application scenarios and challenges - Development trends and characteristics of big data - Huawei Kunpeng big data ecosystem |
| Topic 2: Huawei Big Data Platform & Solutions | 7% | - Typical big data solutions and use cases - FusionInsight/MRS architecture and components |
| Topic 3: Distributed Storage & Coordination | 20% | - ZooKeeper functions, architecture and application - HBase architecture, data model and row-key design - HDFS architecture, principles and operations |
| Topic 4: Data Integration & Streaming | 15% | - Kafka message queue principles and usage - Loader data migration and synchronization - Flume log collection architecture and configuration |
| Topic 5: 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 6: Data Warehouse & Query Engine | 18% | - Hive architecture, metastore, partitioning and bucketing - Hive execution engines: MapReduce, Tez, Spark - File formats: ORC, Parquet, SequenceFile |
| Topic 7: Security & Other Components | 8% | - Elasticsearch and Redis overview - LDAP and Kerberos authentication mechanism |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. What log download methods does Fusionlnsight HD support?
A) Download logs for the specified host
B) Download logs for a module of a single component
C) Download logs of all components of installed components
D) Download logs for a specified time period
2. Which of the following commands are of type set?
A) scard
B) sunion
C) zcount
D) hexists
3. Which command in Redis is to view the remaining lifetime of a key?
A) persist
B) expireat
C) expire
D) ttl
4. During data stream processing,frequently used systemtimebetween(proceessing time)dofor an eventbetween. About Processing TimeWhich item is described incorrectly?
A) Processing Time results are not reproducible, once stream computingVersionupgradeEven the system crashes, computing?will stop
B) Processing TimeIt is suitable for scenarios with complex processing problems and high requirements for adjustable results.
C) In the actual application process, Processing Timeto be behindwith event time
D) Processing Timeexists betweenThe main reason for the difference is due to grid extensionLate, long processing time?Waitmakecompleted
5. Spark Streaming? The fault tolerance mechanism means that if any partition in the RDD fails, it can be recalculated and generated according to its parent RDD. If the parent RDD is lost, you need to go to the disk to find the original data.
A) True
B) False
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: A,B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: B |
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