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| Section | Weight | Objectives |
|---|---|---|
| HBase - Distributed NoSQL Database | 10% | - HBase operation and application - HBase architecture and data storage |
| MapReduce and YARN | 12% | - MapReduce programming model and execution process - YARN resource management and scheduling |
| Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Kunpeng big data solution overview - Big data industry development and characteristics |
| Spark - Distributed Computing Framework | 10% | - Spark core concepts and architecture - Spark RDD and DataFrame |
| Data Integration and Security | 9% | - Loader data migration tool - LDAP and Kerberos security authentication |
| Flink - Stream Processing Framework | 10% | - Flink architecture and stream processing model - Flink application development |
| HDFS and ZooKeeper | 12% | - HDFS architecture and working mechanism - ZooKeeper principles and application scenarios |
| Hive - Distributed Data Warehouse | 10% | - Hive architecture and data model - Hive SQL and data operation |
| Data Collection: Flume and Kafka | 12% | - Kafka message system principle and application - Flume data collection mechanism |
1. Which of the following descriptions about the characteristics of big data and traditional database data is wrong?
A) 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"
B) 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
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
2. Which of the following commands belong to the set type? (Multiple choice)
A) sunion
B) scard
C) zcount
D) hexists
3. In Kafka, which of the following statement about Producer sending data is wrong? (Multiple choice)
A) Proucer, as a message producer, can directly write data to Zookeeper
B) Proucer can send data to Broker and send data to Consumer
C) Producer is responsible for producing data, Consumer is responsible for consuming data, and a connection needs to be established between Producer and Consumer.
D) Proucer connects to any normal Broker instance to generate data
4. On the Fusioninsight HD platform, HBase does not currently support secondary indexes.
A) False
B) True
5. Fusioninsight Spark SQL, like community Spark JDBCServer, only supports single tenant binding to a YARN resource queue and multi-tenant, and does not support multi-tenant parallel execution.
A) False
B) True
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B | Question # 3 Answer: A,B,C | Question # 4 Answer: A | Question # 5 Answer: A |
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