Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) : HADOOP-PR000007

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Hortonworks HADOOP-PR000007 試験シラバストピック:

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) 認定 HADOOP-PR000007 試験問題：

1. Which one of the following statements regarding the components of YARN is FALSE?

A) The ResourceManager is responsible for scheduling and allocating resources
B) A Container executes a specific task as assigned by the ApplicationMaster
C) The ResourceManager monitors and restarts any failed Containers
D) A client application submits a YARW job to the ResourceManager

2. You have user profile records in your OLPT database, that you want to join with web logs you have
already ingested into the Hadoop file system. How will you obtain these user records?

A) Sqoop import
B) Pig LOAD command
C) Hive LOAD DATA command
D) HDFS command
E) Ingest with Flume agents
F) Ingest with Hadoop Streaming

3. In a MapReduce job, you want each of your input files processed by a single map task. How do you
configure a MapReduce job so that a single map task processes each input file regardless of how many
blocks the input file occupies?

A) Increase the parameter that controls minimum split size in the job configuration.
B) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
C) Set the number of mappers equal to the number of input files you want to process.
D) Write a custom FileInputFormat and override the method isSplitable to always return false.

4. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper
that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters.
For each one of these characters, you will emit the character as a key and an InputWritable as the value.
As this will produce proportionally more intermediate data than input data, which two resources should
you expect to be bottlenecks?

A) Processor and RAM
B) Processor and disk I/O
C) Processor and network I/O
D) Disk I/O and network I/O

5. Determine which best describes when the reduce method is first called in a MapReduce job?

A) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal
performance for map-only or reduce-only jobs.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The programmer can configure in the job what percentage of the intermediate data should arrive before
the reduce method begins.
C) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called only after all intermediate data has been copied and sorted.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called as soon as the intermediate key-value pairs start to arrive.

質問と回答：