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| Section | Weight | Objectives |
|---|---|---|
| Hive Distributed Data Warehouse | 10% | - Hive data model and SQL - Hive data storage and query execution - Hive architecture and components |
| HDFS & ZooKeeper | 12% | - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles - HDFS data storage and fault tolerance |
| Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Flink architecture and data flow model - Stream processing scenarios |
| MapReduce & YARN | 12% | - MapReduce programming model and workflow - YARN architecture and resource scheduling - Task execution and resource management |
| Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark task scheduling and optimization - Spark architecture and RDD concept |
| Elasticsearch Search Engine | 5% | - Architecture and indexing mechanism - Full-text search and analysis |
| Flume Log Collection | 7% | - Flume architecture and components - Data collection workflow |
| LDAP & Kerberos Security | 5% | - Unified authentication principles - Kerberos authentication process |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Huawei Kunpeng big data overview - Characteristics of big data - Big Data industry development trends |
| Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| HBase Distributed Database | 10% | - HBase table design and application scenarios - HBase read/write process - HBase architecture and data model |
1. What is the default resource scheduler in YARN?
2. The following provides a variety of Redist optimization practices, which option is wrong?
A) Modify the minimum number of tcp connections in 1linux
B) Condensed key names and key values
C) closecloseTransparent Huge Pages
D) Modify the linux kernel memory allocation strategy or execute sysctl
3. Hive is a data warehouse infrastructure built on Hadoop. It provides a set of tools that can be used to perform extract-transform-load (ETL), a mechanism for storing, querying, and analyzing large-scale data stored in Hadoop.
A) True
B) False
4. Regarding the basic operation of Hive table building, which is the correct description?
A) Once the table is created, the table name cannot be changed
B) Once the table is created, the column names cannot be changed
C) When creating an external table, you need to specify the external keyword
D) Once the table is created, no new columns can be added
5. The following figure shows the label storage strategy of HDFS. Observe the figure below, which data nodes will HBasel data be stored on
A) DataNode B
B) DataNode E
C) DataNode A
D) DataNode F
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A,C |
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