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Cloudera Certified Developer for Apache Hadoop Sample Questions:
1. Your Custer's HOFS block size is 64MB. You have a directory containing 100 plain text files, each of which Is 100MB in size. The InputFormat for your job is TextInputFormat. How many Mappers will run?
A) 200
B) 64
C) 640
D) 100
2. You have the following key value pairs as output from your Map task:
(The, 1)
(Fox, 1)
(Runs, 1)
(Faster, 1)
(Than, 1)
(The, 1)
(Dog, 1)
How many keys will be passed to the reducer?
A) Three
B) One
C) Four
D) Six
E) Five
F) Two
3. 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.
4. MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):
A) Text mining on a large collections of unstructured documents.
B) Analysis of large amounts of Web logs (queries, clicks, etc.).
C) Graph mining on a large social network (e.g., Facebook friends network).
D) Online transaction processing (OLTP) for an e-commerce Website.
5. 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.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: B |
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