Cloudera Hadoop Developer Certification Questions and Answer (Dumps and Practice Questions)

Question :

If a Task attempts is fail then JobTracker will wait to finish all the task and retry the failed task

1. true
2. false

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If a task fails, another will be started by the Jibtracker





Question :

Mapper outputs zero or more key value pairs ?

1. True
2. False

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Question : Which statement is correct for the Hadoop framework



1. Hadoop attempts that Mappers run on node which hold their portio of data locally.
2. Multiple Mappers run parallely
3. Access Mostly Uused Products by 50000+ Subscribers
4. 1 and 2 are correct
5. 1,2 and 3 are correct

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Related Questions

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Question :

Let's assume you have following files in the hdfs directory called merge.
Test1.txt
hadoopexam.com Hadoop Training 1
Test2.txt
www.hadoopexam.com Hadoop YARN Training
Test3.txt
http://hadoopexam.com Amazon WebService Training
Now you run the following command
hadoop fs -getmerge merge/ output1.txt
What is the content in the output1.txt file


1.
hadoopexam.com Hadoop Training 1
www.hadoopexam.com Hadoop YARN Training
http://hadoopexam.com Amazon WebService Training

2.
www.hadoopexam.com Hadoop YARN Training
hadoopexam.com Hadoop Training 1
http://hadoopexam.com Amazon WebService Training

3. Access Mostly Uused Products by 50000+ Subscribers
It could be any random order
4.
www.hadoopexam.com Hadoop YARN Traininghadoopexam.com Hadoop Training 1http://hadoopexam.com Amazon WebService Training


Question :

Let's assume you have following files in the hdfs directory called merge.
Test1.txt
hadoopexam.com Hadoop Training 1
Test2.txt
www.hadoopexam.com Hadoop YARN Training
Test3.txt
http://hadoopexam.com Amazon WebService Training
Now you run the following command
hadoop fs -getmerge -nl merge/ output2.txt
What is the content in the output2.txt file




1.
hadoopexam.com Hadoop Training 1
www.hadoopexam.com Hadoop YARN Training
http://hadoopexam.com Amazon WebService Training

2.

hadoopexam.com Hadoop Training 1

www.hadoopexam.com Hadoop YARN Training

http://hadoopexam.com Amazon WebService Training

3. Access Mostly Uused Products by 50000+ Subscribers
4. www.hadoopexam.com Hadoop YARN Traininghadoopexam.com Hadoop Training 1http://hadoopexam.com Amazon WebService Training


Question :

In the regular WordCount MapReduce example, you have following driver code

public class WordCount extends Configured implements Tool {
public static void main(String args[]) throws Exception {
int res = ToolRunner.run(new WordCount(), args);
System.exit(res);
}
public int run(String[] args) throws Exception {
Path inputPath = new Path("shakespeare1");
Path outputPath = new Path(""+System.currentTimeMillis());
Configuration conf = getConf();
Job job = new Job(conf, this.getClass().toString());
FileInputFormat.setInputPaths(job, inputPath);
FileOutputFormat.setOutputPath(job, outputPath);
job.setJobName("WordCount");
job.setJarByClass(WordCount.class);
job.setJarByClass(WordCount.class);
job.setJobName("Word Count");
job.setMapperClass(WordMapper.class);
job.setReducerClass(SumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setNumReduceTasks(2);
return job.waitForCompletion(true) ? 0 : 1;
}}

Now you run the below command on a single node cluste. Where wc.jar is jar file containing Driver,Mapper and Reducer class.
hadoop jar wc.jar WordCount

Select the correct statement from below.

1. It will run 2 Mapper and 2 Reducer
2. It will run 2 Reducer, but number of Mapper is not known.
3. Access Mostly Uused Products by 50000+ Subscribers
4. There is not enough information to tell number of reducer.


Question : In the regular WordCount MapReduce example, you have following driver code.
public class WordCount extends Configured implements Tool {
public static void main(String args[]) throws Exception {
int res = ToolRunner.run(new WordCount(), args);
System.exit(res);
}
public int run(String[] args) throws Exception {
Path inputPath = new Path("shakespeare1");
Path outputPath = new Path(""+System.currentTimeMillis());
Configuration conf = getConf();
Job job = new Job(conf, this.getClass().toString());
FileInputFormat.setInputPaths(job, inputPath);
FileOutputFormat.setOutputPath(job, outputPath);
job.setJobName("WordCount"); job.setJarByClass(WordCount.class); job.setJarByClass(WordCount.class);
job.setJobName("Word Count");
job.setMapperClass(WordMapper.class); job.setReducerClass(SumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setNumReduceTasks(2);
return job.waitForCompletion(true) ? 0 : 1;
} }
Now you run the below command on a single node cluste. Where wc.jar is jar file containing Driver,Mapper and Reducer class.
hadoop jar wc.jar WordCount -D mapred.reduce.tasks=3
Select the correct statement from below.

1. It will run 3 Reducer as command line option would be preferred
2. It will run 2 reducers as driver code has defined number of reducer
3. Access Mostly Uused Products by 50000+ Subscribers
4. Number of reducer can not be determined command line and driver configuration is just a hint


Question :

You are running the regular WordCount example with the Mapper and Reducer defined in a separate class. Now you have 4 files
in a directory from which you want to count number of words.
Out of these 4 files, 3 files has 1 line in each file and 4th file has 0 lines.
Now you run the wordcount job, then how many Mapper will be executed (Assuming you are running on a single node)?



1. Only 1 Mapper as it is a single node cluster
2. 3 Mapper, only for the files which has the data
3. Access Mostly Uused Products by 50000+ Subscribers
4. Number of Mapper is non-deterministic


Question : Please select the correct features for the HDFS

1. Files in HDFS can concurrently updated and read
2. Files in HDFS can concurrently updated
3. Access Mostly Uused Products by 50000+ Subscribers
4. Files in HDFS cannot be concurrently read