H13-711_V3.5 무료 덤프문제 온라인 액세스

Kafka is a high-throughput, distributed, publish-subscribe-based messaging system. Using Kafka technology, a large-scale messaging system can be built on a cheap PC Server.

• A.True
• B.False

Which of the following aspects is the compatibility of Flink reflected? (Multiple choice)

• A.Can be mixed with Hadoop's original mappers and reducers
• B.Ability to obtain data locally
• C.YARN can be used as the resource scheduling manager of the Flink cluster
• D.Ability to use Hadoop formatted input and output

Which statement about HIVE is wrong?

• A.Hive is built on Hadoop based on static batch processing. Hadoop usually has high latency and requires a lot of overhead when submitting and scheduling
• B.Hive can realize low-latency and fast query on large-scale data sets
• C.The best usage scenario of Hive is the batch processing job of large data sets
• D.The Hive query operation process strictly follows the Hadoop MapReduce role execution model.Hive converts the user's HiveQL statement to the MapReduce Hadoop cluster through the interpreter.

"Group by" in Hive refers to dividing each data set into several small data sets through certain rules, and then grouping data for several small data sets

• A.True
• B.False

Which application scenarios are HBase not suitable for?

• A.Massive data (TB, PB) application scenarios
• B.Semi-structured data application scenarios
• C.Application scenarios that require full ACID characteristics
• D.High throughput application scenarios