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QUESTION NO: 1
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 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.
C. 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.
D. 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.
Answer: C
QUESTION NO: 2
You are running a job that will process a single InputSplit on a cluster which has no other jobs currently running. Each node has an equal number of open Map slots. On which node will Hadoop first attempt to run the Map task?
A. The node with the most memory
B. The node with the lowest system load
C. The node on which this InputSplit is stored
D. The node with the most free local disk space
Answer: C
QUESTION NO: 3
You want to populate an associative array in order to perform a map-side join. You’ve decided to
put this information in a text file, place that file into the DistributedCache and read it in your
Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?
A. combine
B. map
C. init
D. configure
Answer: D
QUESTION NO: 4
Identify the tool best suited to import a portion of a relational database every day as files into
HDFS, and generate Java classes to interact with that imported data?
A. Oozie
B. Flume
C. Pig
D. Hue
E. Hive
F. Sqoop
G. fuse-dfs
Answer: F
QUESTION NO: 5
Assuming default settings, which best describes the order of data provided to a reducer’s reduce
method:
A. The keys given to a reducer aren’t in a predictable order, but the values associated with those keys always are.
B. Both the keys and values passed to a reducer always appear in sorted order.
C. Neither keys nor values are in any predictable order.
D. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
Answer: D
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Updated: May 28, 2022