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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Integration & Streaming | 15% | - Flume log collection architecture and configuration - Kafka message queue principles and usage - Loader data migration and synchronization |
| Topic 2: Security & Other Components | 8% | - LDAP and Kerberos authentication mechanism - Elasticsearch and Redis overview |
| Topic 3: Huawei Big Data Platform & Solutions | 7% | - Typical big data solutions and use cases - FusionInsight/MRS architecture and components |
| Topic 4: Data Warehouse & Query Engine | 18% | - Hive architecture, metastore, partitioning and bucketing - Hive execution engines: MapReduce, Tez, Spark - File formats: ORC, Parquet, SequenceFile |
| Topic 5: 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 6: Distributed Storage & Coordination | 20% | - HBase architecture, data model and row-key design - ZooKeeper functions, architecture and application - HDFS architecture, principles and operations |
| Topic 7: Distributed Computing Framework | 22% | - Flink stream processing fundamentals - MapReduce programming model and workflow - YARN architecture, resource scheduling and management - Spark core concepts, RDD, DataFrame and Spark SQL |
1. F? ?Include? ?Second major?, the following are about these two? ?Which one is it?
A) ?to the next?of? ?recognize?
B) ?file transactions,?of?
C) ?acting on an exact?
D) ? ?or by?special mechanism?,and?Piece?
2. In big data computing tasks, about0Which description of intensive tasks is incorrect?oneitem?
A) Most of the time during I0-intensive task execution is spent at I0
B) By improving network transmission efficiency and read and write efficiency, performance can be greatly improved
C) High PU consumption
D) The more tasks, the more efficient the CPU
3. Hadoop:When the scale of the cluster is large, the distribution of data will be very critical. Users need to decide whether to expand the cluster and whether the data needs to be balanced according to the data distribution. The following statements about Fusioninsight resource distribution monitoring are correct:
A) Through the DashBoard interface, you can view the distribution of host resources. For example, a list of hosts with a memory occupancy of 50-75% and a link to jump
B) Can help users quickly focus on the most critical resource consumption
C) View the distribution of key resources through the resource distribution viewing interface on each service home page
D) Help users quickly find nodes with the highest resource consumption and take appropriate measures
4. In the numberaccording toDuring stream processing, eachthingThe time can be divided into which of the following three?
A) ingostion time, that isevent arrival stream processing systemtime
B) went time, that istime of event
C) procmming time,Right nowthingquiltsystemprocessing time
D) dalay time,That is, the extension time from the occurrence of the event to the processing
5. Which of the following descriptions about Hive log collection on the Fusioninsight Manager interface is incorrect?
A) You can specify a specific user for log collection, for example, only download logs generated by UserA.
B) You can specify a time period for log collection, for example, only collect logs from 2016-1-1 to 2016-1-10.
C) The node IP can be specified for log collection, for example, only the logs of a certain IP can be downloaded.
D) You can specify an instance for log collection, for example, specify to collect metstore logs.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: A,B,C,D | Question # 4 Answer: A,B,C | Question # 5 Answer: A |
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