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Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and Hive fundamentals - Spark SQL and data ingestion tools (Loader, Sqoop, Kettle) - Offline batch processing solutions |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Distributed database concepts (HBase, Elasticsearch, GES) - Real-time query optimization - Real-time retrieval solution components |
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Stream data ingestion and processing - Streaming use cases and configuration - Real-time stream processing frameworks (Flume, Kafka, Spark Streaming, Flink) |
| Big Data Application Development Overall Guide | 15% | - Big data concepts and architecture - Application development fundamentals - Big data scenario-based solutions |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
Question 1
A customer has the following scenario: indexing PB-level data requires real-time indexing performance of more than 2MB/s, and supports full-text retrieval, and requires query performance to reach a second-level response.
For the above scenarios, regarding the Solr collection design, which of the following design schemes are reasonable? (multiple choices)
A. It can be used in conjunction with Hbase, set the uniqueKey field and HBase RowKey field to the same value, and use the implicit Router method to make the document evenly distributed to each shard
B. It can be used in conjunction with HBase. Solr only builds indexes for non-RowKey fields that need to be retrieved. HBase is responsible for storing data in all fields.
C. In the configuration set, the DirectoryFactory parameter in the solrconfig.xml file can be set to org.apache.solr.core.NIOFSDirectoryFactory
D. When creating a Collection, you can set the number of Shards to be an integer multiple of the number of SoIrServer instances to ensure that each SoIrServer instance is negatively balanced as much as possible
Question 2
In FusionInsight HD, where can I view the running results of the MapReduce application?
A. FusionInsight Manager web interface
B. Yarn web interface
C. Loader web interface
D. Solr web interface
Question 3
In FusionInsight HD, when using Streaming's ACK mechanism, which of the following statements are correct? (multiple choice)
A. Acker will mark the processing timeout or processing failure message as fail.
B. Starting from the spout, the failure of any link in the formed Tuple tree will mark the entire tree as a failure.
C. The application needs to implement message retransmission logic in the fail() interface method of spout.
D. After Acker is enabled, Streaming will identify the Tuple that failed to be sent and automatically resend it without human intervention.
Question 4
Regarding FusionInsight HD's Spark, which of the following programming languages can be used to develop Spark applications? (multiple choice)
A. Java
B. Scala
C. C
D. Python
Question 5
What distributed computing framework does the FusionInsigt HD big data platform provide? (multiple choice)
A. Spark
B. MapReduce
C. Streaming
D. HBase
Solutions:
| Question 1 Answer: B,C,D | Question 2 Answer: B | Question 3 Answer: A,B,C | Question 4 Answer: A,B,D | Question 5 Answer: A,B,C |
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