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| Section | Weight | Objectives |
|---|---|---|
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Stream solution deployment and tuning - Flink stream processing framework - Flume and Kafka data ingestion - Spark Streaming and Structured Streaming |
| Big Data Application Development Overall Guide | 15% | - Big data concepts and architecture - Application development fundamentals - Scenario-based big data solutions overview - Mainstream big data technologies and ecosystems |
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and Hive principles and usage - Spark SQL and batch processing - Offline solution design and optimization - Data ingestion tools: Loader, Sqoop, Kettle |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Elasticsearch and real-time search - Real-time retrieval optimization - GaussDB(DWS) and distributed query - HBase architecture and development |
1. In the HBase table design, for multiple businesses sharing the rowkey, which leads to data access contradictions, what strategies can be used to deal with it?
A) Create a secondary index
B) Compromise method (rowkey design takes into account the business needs of A and B)
C) Pre-division region
D) Redundancy method (use space for time plant efficiency)
2. Regarding Kafka's Producer, which of the following statements is correct? (multiple choice)
A) Multiple Producer processes can be started at the same time to send data to the same topic
B) Producer production data needs to specify Topic
C) When Producer produces data, it needs to connect to ZooKeeper first, and then connect to Broker
D) Producer is a message producer
3. Regarding Redis cluster topology information, which of the following descriptions is correct?
A) Neither
B) The server caches the cluster topology information
C) Both
D) The client caches the cluster topology information
4. In Kafka, is the following statement about the data sent by the Producer wrong? (multiple choice)
A) Producer can produce data by connecting to any normal Broker instance
B) Producer is responsible for producing data, Consumer is responsible for consuming data, Socket connection needs to be established between Producer and Consumer
C) Producer can send data to Broker, and can send data to Consumer
D) As a message producer, Producer can directly write data to ZooKeeper
5. Suppose there is an application, there are 10 tables, each table has tens of millions of records, and the number of fields is about 20.
Now Redis is used to cache the data of these 10 tables. For the design of the data structure, which of the following is the best design?
A) Using a hash structure, each row record of each table uses a hash KEY, the field of the hash KEY corresponds to the field of the table record, and each table is designed with a different prefix to distinguish it.
B) Using string structure, each row of each table uses a KEY, and value is the concatenated value of all the fields in a row of the table.
C) Using string structure, each field in each row of each table uses a KEY.
D) A hash structure is adopted, and a table uses a hash KEY, and a row in the table records a field for the hash KEY.
Solutions:
| Question # 1 Answer: A,B,D | Question # 2 Answer: A,B,D | Question # 3 Answer: C | Question # 4 Answer: B,C,D | Question # 5 Answer: A |
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