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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Integration and Security | 9% | - Loader data migration tool - LDAP and Kerberos security authentication |
| Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Kunpeng big data solution overview - Big data industry development and characteristics |
| Data Collection: Flume and Kafka | 12% | - Flume data collection mechanism - Kafka message system principle and application |
| Flink - Stream Processing Framework | 10% | - Flink application development - Flink architecture and stream processing model |
| Hive - Distributed Data Warehouse | 10% | - Hive SQL and data operation - Hive architecture and data model |
| HDFS and ZooKeeper | 12% | - ZooKeeper principles and application scenarios - HDFS architecture and working mechanism |
| MapReduce and YARN | 12% | - MapReduce programming model and execution process - YARN resource management and scheduling |
| Spark - Distributed Computing Framework | 10% | - Spark core concepts and architecture - Spark RDD and DataFrame |
| HBase - Distributed NoSQL Database | 10% | - HBase architecture and data storage - HBase operation and application |
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
What are some typical Filters included in HBase? (Multiple choice)
- A. Filter List
- B. Single Column Value Filter
- C. Row Filter
- D. Key Only Filter
Flume supports monitoring and transferring new files in the directory, which can realize data transfer. Which type of source is described above?
- A. spooling directory source
- B. http source
- C. exec source
- D. syslog source
Which of the following descriptions about the characteristics of big data and traditional database data is wrong?
- A. There are many types of data processed by big data, including structured, unstructured and semi-structured data; the types of data in traditional databases are relatively single, often structured data
- B. Big data is the data processing of "fish in the pond", with a clear goal; the data processing of traditional databases is to judge whether other kinds of "fish" exist through certain "fish"
- C. In big data, there is no unified data tool, that is, "No size fits all"; in traditional databases, in a specific business scenario, often one tool can solve a problem, that is, "One size fits all" all"
- D. The data scale of big data is very large, and TB and PB are generally used as data processing units; the data scale in traditional databases is generally small, and MB is often used as data processing units
HBase's BloomFilter is used to filter data.
- A. True
- B. False
Flink can perform statistics based on which of the following windows? (Multiple choice)
- A. Count window
- B. Time windows
- C. Sliding window
- D. Session window
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