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Huawei HCIP-Big Data Developer Sample Questions:
1. In HBase of FusionInsight HD, which of the following scenarios will not trigger the Flush operation?
A) The MemStore setting of the Region exceeds the threshold
B) The total memory of RegionServer exceeds the threshold
C) The scan caching is set too large when the client initiates a scan request
D) Initiate Flush operation through the client specified method
2. In the Fusioninsight HD product, what is wrong about the Kafka secure and non-secure port description?
(Note: The old API refers to the old Producer API and the old Consumer API. Among them, the old Consumer API: refers to the interface defined in kafka.consumer.ConsumerConnector; the old Producer API: refers to the interface defined in kafka.producer.Producer.)
A) The premise for the old API to access a topic through port 21005 is that the server parameter allow.everyone.if.no.acl.found is set to true, and the topic does not have ACL attributes set
B) The old API only supports access to port 21005; the new API is compatible with access to non-secure port 21005 and secure port 21007.
C) For topics with ACL set, you can use the old API to connect to port 21005 for access.
D) Kafka cluster security access port defaults to 21007, non-secure access port defaults to 21005.
3. Suppose there is an application that needs to frequently access the user table in the Oracle database. In order to improve performance, Redis is introduced to cache user information.
For this scenario, which of the following is the best data structure choice for Redis?
A) sorted set
B) set
C) hash
D) list
4. In a FusionInsight HD cluster, Flume does not support writing collected data to which service in the cluster?
A) Kafka
B) HBase
C) Redis
D) HDFS
5. In Spark, assuming that lines is a DStream object, which of the following statements can periodically count the number of words on this stream?
A) Iines.flatMap(_.split (" " )).flatMap(word => (word, 1)).groupByKey(_ +_).print()
B) Iines.fIatMap(_.spIit (" " )).map(word => (word, 1)).reduceByKey(_ +_).print()
C) Iines.flatMap(_.split (" " )).map(word => (word, 1)).reduce(_ +_).print()
D) Iines.flatMap(_.split (" " )).map(word => (word,word.Iength())).reduceByKey (_ +_).print()
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B |



