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Cloudera Certified Developer for Apache Hadoop Sample Questions:
1. Combiners Increase the efficiency of a MapReduce program because:
A) They aggregate intermediate map output horn a small number of nearby (i.e., rack-local) machines and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
B) They provide an optimization and reduce the total number of computations that are needed to execute an algorithm by a factor of n, where is the number of reducer.
C) They aggregate intermediate map output locally on each individual machine and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
D) They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.
2. Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?
A) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.
B) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
C) Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.
D) Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
3. During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?
A) Keys are presented to a reducer in random order; values for a given key are not sorted.
B) Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
C) Keys are presented to a reducer in sorted order; values for a given key are not sorted.
D) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
4. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task that finish first are used. This is called:
A) IdentityReducer
B) IdentityMapper
C) Default Partitioner
D) Combiner
E) Speculative Execution
5. Which two of the following are valid statements? (Choose two)
A) HDFS is optimized for storing a large number of files smaller than the HDFS block size.
B) HDFS has the Characteristic of supporting a "write once, read many" data access model.
C) HDFS is a distributed file system that runs on top of native OS filesystems and is well suited to storage of very large data sets.
D) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.
Solutions:
Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: E | Question # 5 Answer: B,C |

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