Hortonworks HADOOP-PR000007

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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Given the following Hive commands:

Which one of the following statements Is true?

A) The file mydata.txt does not move from Its current location in HDFS
B) The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
C) The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
D) The file mydata.txt is copied into Hive's underlying relational database 0.

2. Which one of the following statements is true regarding a MapReduce job?

A) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
B) The Mapper must sort its output of (key.value) pairs in descending order based on value
C) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
D) The reduce method is invoked once for each unique value

3. Which describes how a client reads a file from HDFS?

A) The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
to the client. The client reads the data directory off the DataNode(s).
B) The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
the client to the DataNode that holds the requested data block(s). The client then reads the data directly
off the DataNode.
C) The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
from the NameNode to the client.
D) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
directly to the client. The client reads the data directly off the DataNode.

4. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your
workload across you cluster?

A) You will longer be able to take advantage of a Combiner.
B) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted
order.
C) You will not be able to compress the intermediate data.
D) There are no concerns with this approach. It is always advisable to use multiple reduces.

5. All keys used for intermediate output from mappers must:

A) Implement WritableComparable.
B) Be a subclass of FileInputFormat.
C) Implement a splittable compression algorithm.
D) Implement a comparator for speedy sorting.
E) Override isSplitable.

Solutions: