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Cloudera Certified Developer for Apache Hadoop Sample Questions:
1. All keys used for intermediate output from mappers must do which of the following:
A) Be compressed using a splittable compression algorithm.
B) Use a comparator for speedy sorting
C) Implement WritableComparable
D) Override isSplitable
E) Be a subclass of Filelnput-Format
2. In a MapReduce job, the reducer receives all values associated with the same key. Which statement is most accurate about the ordering of these values?
A) The values are in sorted order.
B) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.
C) The values are arbitrarily ordered, but multiple runs of the same MapReduce job will always have the same ordering.
D) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.
3. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated file in HDFS.
A) Yes.
B) Yes, but only if one of the tables fits into memory.
C) Yes, so long as both tables fit into memory.
D) No, but it can be done with either Pig or Hive.
E) No, MapReduce cannot perform relational operations.
4. Which of the following describes how a client reads a file from HDFS?
A) 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.
B) 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 directly off the DataNode(s).
C) The client contacts the NameNode for the block location(s). The NameNode contacts theDataNode 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.
5. Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of submitting the job to the cluster?
A) jar MyJar.jar
B) hadoop jar MyJar.jar MyDriverClass inputdir outputdir
C) hadoop jar class MyJar.jar MyDriverClass inputdir outputdir
D) jar MyJar.jar MyDriverClass inputdir outputdir
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |






