Hive Online Quiz
Following quiz provides Multiple Choice Questions (MCQs) related to Hive. 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 - Each database created in hive is stored as
Answer : A
Explanation
Each database becomes a directory and each table becomes a file in that directory
Q 2 - If the database contains some tables then it can be forced to drop without dropping the tables by using the keyword
Answer : D
Explanation
CASCADE clause drops the table first before dropping the database
Q 3 - SerDe
A - parses records to columns while reading and columns to records when writing
B - parses records to columns while writing and columns to records when reading
C - creates partitions from columns using each of the records
Answer : A
Explanation
Converting records to columns is serializing and the reverse is Deerializing
Q 4 - While querying a hive table for a Array type column, if the array index is nonexistent then
Answer : A
Explanation
Hive returns NULL while in java it would have returned index out of bound error
Q 5 - The property set to run hive in local mode as true so that it runs without creating a mapreduce job is
B - hive.exec.mode.local.override
Answer : A
Explanation
In local mode hive will not trigger a mapreduce job.
Q 6 - The DISTRIBUTED BY clause in hive
A - comes Before the sort by clause
B - comes after the sort by clause
Answer : A
Explanation
Sorting as the last clause will be efficient as that is also the last step in the reduce job producing the output.
Q 7 - What is the disadvantage of using too many partitions in Hive tables?
Answer : D
Explanation
Too many partitions create too many files and too much metadata to be stored by namenode.
Q 8 - Intermediate compression in Hive is about
A - Compressing the data just before it is read by mapreduce task
B - Compressing the data just before it is output to the user
C - Compressing the data before it is stored by into the disk
D - Compressing the data shuffled between the map and reduce tasks
Answer : D
Explanation
Data compression between map and reduce task is called intermediate compression.
Q 9 - Aggregate functions in Hive are the function which
A - Takes one or more columns form a row and returns a single value
B - Takes one or more columns form many rows and returns a single value
C - Take zero or more inputs and produce multiple columns or rows of output
D - Detects the type of input programmatically and provides appropriate response
Answer : B
Explanation
Examples functions are − count, avarege etc.
Q 10 - A user creates a UDF which accepts arguments of different data types, each time it is run. It is an example of
Answer : B
Explanation
Generic functions are created as java programs and can accept variable data types.
