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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Hive - Distributed Data Warehouse | 10% | - Hive architecture and data model - Hive SQL and data operation |
| Spark - Distributed Computing Framework | 10% | - Spark RDD and DataFrame - Spark core concepts and architecture |
| MapReduce and YARN | 12% | - YARN resource management and scheduling - MapReduce programming model and execution process |
| HDFS and ZooKeeper | 12% | - HDFS architecture and working mechanism - ZooKeeper principles and application scenarios |
| HBase - Distributed NoSQL Database | 10% | - HBase operation and application - HBase architecture and data storage |
| Flink - Stream Processing Framework | 10% | - Flink application development - Flink architecture and stream processing model |
| Data Collection: Flume and Kafka | 12% | - Kafka message system principle and application - Flume data collection mechanism |
| Data Integration and Security | 9% | - LDAP and Kerberos security authentication - Loader data migration tool |
| Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Big data industry development and characteristics - Kunpeng big data solution overview |
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
1. What modules does the Spark framework include? (Multiple choice)
A) Spark Streaming
B) Spark GraphX
C) Spark Mllib
D) Spark SQL
2. In the YARN service, if the capacity of the queue QuqueA is to be set to 30%, which parameter should be configured?
A) YARN.scheduler.capacity.root.Queueuser-limit-factor
B) YARN.scheduler.capacity.root.QueueA.state
C) YARN.scheduler.capacity.root.QueueA.minimum-user-limit-percent
D) YARN.scheduler.capacity.root.QueueA.capacity
3. 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) 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
C) 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"
D) 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"
4. The following provides a variety of Redis optimization methods, which option is wrong?
A) Simplified key names and key values
B) Turn off Transparent Huge Pages
C) Modify the minimum number of tcp connections in Linux
D) Modify the Linux kernel memory allocation strategy or execute sysctl
5. Regarding the relationship between Hive and other components of Hadoop, which of the following descriptions is wrong?
A) HQL can perform tasks through MapReduce
B) Hive finally stores the data in HDFS
C) Hive has a strong dependence on HBase
D) Hive is a data warehouse tool for the Hadoop platform
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
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