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Hadoop Online Quiz
Following quiz provides Multiple Choice Questions (MCQs) related to Hadoop Framework. You will have to read all the given answers and click over the correct answer. If you are not sure about the answer then you can check the answer using Show Answer button. You can use Next Quiz button to check new set of questions in the quiz.
Q 1 - The concept using multiple machines to process data stored in distributed system is not new.
The High-performance computing (HPC) uses many computing machines to process large volume of data stored in a storage area network (SAN). As compared to HPC, Hadoop
A - Can process a larger volume of data.
B - Can run on a larger number of machines than HPC cluster.
C - Can process data faster under the same network bandwidth as compared to HPC.
Answer : C
Q 2 - For the frequently accessed HDFS files the blocks are cached in
A - the memory of the datanode
B - in the memory of the namenode
D - In the memory of the client application which requested the access to these files.
Answer : A
Q 3 - The following is not permitted on HDFS files
Answer : D
Q 5 - When a client contacts the namenode for accessing a file, the namenode responds with
A - Size of the file requested.
B - Block ID of the file requested.
C - Block ID and hostname of any one of the data nodes containing that block.
D - Block ID and hostname of all the data nodes containing that block.
Answer : D
Q 6 - When a file in HDFS is deleted by a user
B - It goes to trash if configured.
C - It becomes hidden from the user but stays in the file system
Answer : B
Q 7 - When you increase the number of files stored in HDFS, The memory required by namenode
Answer : A
Q 8 - Which one is not one of the big data feature?
Answer : B
Q 9 - Which technology is used to import and export data in Hadoop?
Answer : C
Q 10 - The org.apache.hadoop.io.Writable interface declares which two methods? (Choose 2 answers.)
public void readFields(DataInput).
public void read(DataInput).
public void writeFields(DataOutput).
public void write(DataOutput).
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