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Huawei H13-723 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Real-time Data Processing | - Flink/Spark Streaming Basics - Stream Processing Concepts |
| Topic 2: Distributed Data Processing | - Spark Computing Framework - MapReduce Principles |
| Topic 3: Data Development and Engineering Practices | - Data Pipeline Development - ETL Design and Implementation |
| Topic 4: Hadoop Ecosystem Technologies | - HDFS and Data Management - YARN Resource Scheduling |
| Topic 5: Big Data Fundamentals | - Data Storage and Processing Concepts - Big Data Architecture and Ecosystem Overview |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
1. Spark Streaming can receive data from Kafka and perform calculations. The calculation results can only be stored in HDFS and cannot be written back to Kafka.
A) False
B) True
2. In Flume, what is the main function of the source function module?
A) Cache data and save the data in memory or files according to different reliability strategies
B) Output data to destination, support multiple output protocols
C) Split the data and send the data to different destinations according to the characteristics of the data
D) Obtain data and convert the original data into data objects that you process
3. A certain project needs to save the online data in a certain area and search the full text whether there is any sensitive information in these online records to prevent crimes in the area.
In this scenario, which of the following is the best solution?
A) When storing data, create an index on Solr and store the complete data in HBasx; when querying, obtain key information of records through Solr full-text search, and obtain complete records on HBase through key information.
B) Store data on HBase, and satisfy fuzzy matching queries through HBase's filtering features.
C) Create an index on Solr, save the data, and return all the data when searching the full text.
4. In FusionInsight HD, which of the following source types does Flume support? (multiple choice)
A) Avro
B) HBase
C) HTTP
D) Kafka
5. Which of the following scenarios is not suitable for Redis? (multiple choice)
A) Get the latest N data: for example, get the latest 10 comments on a Weibo
B) A message queue application that is consumed by multiple consumers at the same time and guarantees that the message is successfully consumed by all subscribers (subscription-notification)
C) Complex transaction operations
D) Counter application: for example, counting the number of people logged in to a certain website
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A,C,D | Question # 5 Answer: B,C |



