Latest 2014 Pass4sure and Lead2pass Cloudera CCD-410 Practice Tests
Exam Code: CCD-410
Exam Name: Cloudera Certified Developer for Apache Hadoop (CCDH) Exam
MapReduce v2 (MRv2/YARN) is designed to address which two issues?
A. Single point of failure in the NameNode.
B. Resource pressure on the JobTracker.
C. HDFS latency.
D. Ability to run frameworks other than MapReduce, such as MPI.
E. Reduce complexity of the MapReduce APIs.
F. Standardize on a single MapReduce API.
You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you’ve decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface. Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
A. hadoop "mapred.job.name=Example" MyDriver input output
B. hadoop MyDriver mapred.job.name=Example input output
C. hadoop MyDrive -D mapred.job.name=Example input output
D. hadoop setproperty mapred.job.name=Example MyDriver input output
E. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text). Indentify what determines the data types used by the Mapper for a given job.
A. The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods
B. The data types specified in HADOOP_MAP_DATATYPES environment variable
C. The mapper-specification.xml file submitted with the job determine the mapper’s input key and
D. The InputFormat used by the job determines the mapper’s input key and value types.
Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?
Which best describes how TextInputFormat processes input files and line breaks?
A. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader
of the split that contains the beginning of the broken line.
B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders
of both splits containing the broken line.
C. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
D. Input file splits may cross line breaks. A line that crosses file splits is ignored.
E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of
the split that contains the end of the broken line.
For each input key-value pair, mappers can emit:
A. As many intermediate key-value pairs as designed. There are no restrictions on the types of those
key-value pairs (i.e., they can be heterogeneous).
B. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
C. One intermediate key-value pair, of a different type.
D. One intermediate key-value pair, but of the same type.
E. As many intermediate key-value pairs as designed, as long as all the keys have the same types and
all the values have the same type.
In a MapReduce job, the reducer receives all values associated with same key. Which statement best describes the ordering of these values?
A. The values are in sorted order.
B. The values are arbitrarily ordered, and the ordering may vary from run to run of the same
C. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have
the same ordering.
D. Since the values come from mapper outputs, the reducers will receive contiguous sections of
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