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Huawei HCIP-Big Data Developer Sample Questions:

1. In Spark application development, which of the following codes can correctly count words?

A) val counts = textFile.map (line => line.split ("')).map (-rd => (word, 1)).reduceByKey(_ +_)
B) val counts = textFile.map (line=>line.split (" ")).map (word => (word, 1)).groupByKey ()
C) val counts = textFile.flatMap (line=>line.split (" ")).map (word => (word, 1)).reduceByKey(_ +_)
D) val counts = textFile.flatMap (line=>line.split (" ")).map (word => (word, 1)).groupByKey ()

2. Redis LIST data structure, which of the following scenarios is suitable for? (multiple choice)

A) uniq operation, for example, get the weight value of all data in a certain period of time
B) Build a queue system, such as a message queue
C) Simulate stack operation
D) Get the latest N data operations: for example, get the latest 10 comments on a Weibo

3. A certain project needs to save the online data in a certain area and search the full text whether there is any sensitive information in these online records to prevent crimes in the area.
In this scenario, which of the following is the best solution?

A) Store data on HBase, and satisfy fuzzy matching queries through HBase's filtering features.
B) When storing data, create an index on Solr and store the complete data in HBasx; when querying, obtain key information of records through Solr full-text search, and obtain complete records on HBase through key information.
C) Create an index on Solr, save the data, and return all the data when searching the full text.

4. Spark Streaming, as a stream processing engine for micro-batch processing, converts the data of each time slice into a partition in an RDD for calculation.

A) False
B) True

5. Because Spark is a memory-based computing engine, the amount of data that a Spars application can process cannot exceed the total memory allocated to the Spark application.

A) False
B) True

Solutions: