Before YARN was added to Hadoop, we had to start the …………………………….. and the TaskTracker daemons to allow jobs to run in the cluster.

Your MapReduce application will use zero reducers if you skip setting the Reducer class in the Driver.

Although the default replication factor in HDFS is _______ , you should change it to _______ if you run Hadoop in the pseudo-distributed mode (the operation mode used in our VM).

The ……………………………………. is a dedicated HDFS implementation used in HDFS HA to provide a highly available shared edit log. It is the recommended choice for most HDFS installations.

Data locality in MapReduce applies only to the mappers rather than the mappers and reducers.

HDFS is an efficient distributed filesystem for reading and writing large amount of data in parallel.

Consider the wordcount mapreduce application we covered in class. Let: The main class be WordCount The jar file be wordcount.jar The input be stored in a directory called wc-in under the user home directory in HDFS. The output diretcory be wc-out, to be created under the user home directory in HDFS. 1. What is the YARN command to submit and run the job in Hadoop? Answer: _______ 2. What is the HDFS command to show the whole output in the terminal? Answer: _______

In the Java code of the Driver of MapReduce applications, we invoke the method _______ on the job object to submit the job and wait for the job to finish. The name of the other method that can submit the job without blocking the Driver is _______

To use HDFS services we have to start the _______ and the _______ daemons on the master and worker machines respectively.

Compute C(10, 4). Enter a whole number.