a)
Very cheap hardware
b)
Industry standard hardware
c)
Discarded hardware
d)
Low specifications Industry grade hardware
2. Which of the following are NOT big data
problem(s)? ( D)
a)
Parsing 5 MB XML file every 5 minutes
b)
Processing IPL tweet sentiments
c)
Processing online bank transactions
d)
both (a) and (c)
3. What does “Velocity” in Big Data mean?
( D)
a)
Speed of input data generation
b)
Speed of individual machine processors
c)
Speed of ONLY storing data
d)
Speed of storing and processing data
4. The term Big Data first originated
from: ( C )
a)
Stock Markets Domain
b)
Banking and Finance Domain
c)
Genomics and Astronomy Domain
d)
Social Media Domain
5. Which of the following Batch Processing
instance is NOT an example of ( D)
BigData Batch Processing?
a)
Processing 10 GB sales data every 6 hours
b)
Processing flights sensor data
c)
Web crawling app
d)
Trending topic analysis of tweets for last 15 minutes
6. Which of the following are example(s)
of Real Time Big Data Processing? ( D)
a)
Complex Event Processing (CEP) platforms
b)
Stock market data analysis
c)
Bank fraud transactions detection
d)
both (a) and (c)
7. Sliding window operations typically
fall in the category (C ) of__________________.
a)
OLTP Transactions
b)
Big Data Batch Processing
c)
Big Data Real Time Processing
d)
Small Batch Processing
8. What is HBase used as? (A )
a)
Tool for Random and Fast Read/Write operations in Hadoop
b)
Faster Read only query engine in Hadoop
c)
MapReduce alternative in Hadoop
d)
Fast MapReduce layer in Hadoop
9. What is Hive used as? (D )
a)
Hadoop query engine
b)
MapReduce wrapper
c)
Hadoop SQL interface
d)
All of the above
10. Which of the following are NOT true
for Hadoop? (D)
a)
It’s a tool for Big Data analysis
b)
It supports structured and unstructured data analysis
c)
It aims for vertical scaling out/in scenarios
d)
Both (a) and (c)
11. Which of the following are the core
components of Hadoop? ( D)
a)
HDFS
b)
Map Reduce
c)
HBase
d)
Both (a) and (b)
12. Hadoop is open source. ( B)
a)
ALWAYS True
b)
True only for Apache Hadoop
c)
True only for Apache and Cloudera Hadoop
d)
ALWAYS False
13. Hive can be used for real time
queries. ( B )
a)
TRUE
b)
FALSE
c)
True if data set is small
d)
True for some distributions
14. What is the default HDFS block size? (
D )
a)
32 MB
b)
64 KB
c)
128 KB
d)
64 MB
15. What is the default HDFS replication
factor? ( C)
a)
4
b)
1
c)
3
d)
2
16. Which of the following is NOT a type
of metadata in NameNode? ( C)
a) List of files
b) Block locations of files
c) No. of file records
d) File access control information
17. Which of the following is/are correct?
(D )
a) NameNode is the SPOF in Hadoop 1.x
b) NameNode is the SPOF in Hadoop 2.x
c) NameNode keeps the image of the file
system also
d) Both (a) and (c)
18. The mechanism used to create replica
in HDFS is____________. ( C)
a) Gossip protocol
b) Replicate protocol
c) HDFS protocol
d) Store and Forward protocol
19. NameNode tries to keep the first copy
of data nearest to the client machine. ( C)
a) ALWAYS true
b) ALWAYS False
c) True if the client machine is the part
of the cluster
d) True if the client machine is not the
part of the cluster
20. HDFS data blocks can be read in
parallel. ( A )
a) TRUE
b) FALSE
21. Where is HDFS replication factor
controlled? ( D)
a)
mapred-site.xml
b)
yarn-site.xml
c)
core-site.xml
d)
hdfs-site.xml
22. Read the statement and select the
correct option: ( B)
It is necessary to default all the
properties in Hadoop config files.
a)
True
b)
False
23. Which of the following Hadoop config
files is used to define the heap size? (C )
a)
hdfs-site.xml
b)
core-site.xml
c)
hadoop-env.sh
d)
Slaves
24. Which of the following is not a valid
Hadoop config file? ( B)
a)
mapred-site.xml
b)
hadoop-site.xml
c)
core-site.xml
d)
Masters
25. Read the statement:
NameNodes are usually high storage
machines in the clusters. ( B)
a)
True
b)
False
c)
Depends on cluster size
d)
True if co-located with Job tracker
26. From the options listed below, select
the suitable data sources for flume. ( D)
a) Publicly open web sites
b) Local data folders
c) Remote web servers
d) Both (a) and (c)
27. Read the statement and select the
correct options: ( A)
distcp command ALWAYS needs fully
qualified hdfs paths.
a) True
b) False
c) True, if source and destination are in
same cluster
d) False, if source and destination are in
same cluster
28. Which of following statement(s) are
true about distcp command? (A)
a) It invokes MapReduce in background
b) It invokes MapReduce if source and
destination are in same cluster
c) It can’t copy data from local folder to
hdfs folder
d) You can’t overwrite the files through
distcp command
29. Which of the following is NOT the
component of Flume? (B)
a) Sink
b) Database
c) Source
d) Channel
30. Which of the following is the correct
sequence of MapReduce flow? ( C )
f) Map ??Reduce ??Combine
a) Combine ??Reduce ??Map
b) Map ??Combine ??Reduce
c) Reduce ??Combine ??Map
31 .Which of the following can be used to
control the number of part files ( B) in a map reduce program output directory?
a) Number of Mappers
b) Number of Reducers
c) Counter
d) Partitioner
32. Which of the following operations
can’t use Reducer as combiner also? (D)
a) Group by Minimum
b) Group by Maximum
c) Group by Count
d) Group by Average
33. Which of the following is/are true
about combiners? (D)
a) Combiners can be used for mapper only
job
b) Combiners can be used for any Map
Reduce operation
c) Mappers can be used as a combiner class
d) Combiners are primarily aimed to
improve Map Reduce performance
e) Combiners can’t be applied for
associative operations
34. Reduce side join is useful for (A)
a) Very large datasets
b) Very small data sets
c) One small and other big data sets
d) One big and other small datasets
35. Distributed Cache can be used in (D)
a)
Mapper phase only
b)
Reducer phase only
c)
In either phase, but not on both sides simultaneously
d)
In either phase
36. Counters persist the data on hard
disk. (B)
a)
True
b)
False
37. What is optimal size of a file for
distributed cache? (C)
a)
<=10 MB
b)
>=250 MB
c)
<=100 MB
d)
<=35 MB
38. Number of mappers is decided by the (D)
a)
Mappers specified by the programmer
b)
Available Mapper slots
c)
Available heap memory
d)
Input Splits
e)
Input Format
39. Which of the following type of joins
can be performed in Reduce side join operation? (E)
a)
Equi Join
b)
Left Outer Join
c)
Right Outer Join
d)
Full Outer Join
e)
All of the above
40. What should be an upper limit for
counters of a Map Reduce job? (D)
a)
~5s
b)
~15
c)
~150
d)
~50
41. Which of the following class is
responsible for converting inputs to key-value (c) Pairs of Map Reduce
a) FileInputFormat
b) InputSplit
c) RecordReader
d) Mapper
42. Which of the following writables can
be used to know value from a mapper/reducer? (C)
a) Text
b) IntWritable
c) Nullwritable
d) String
43. Distributed cache files can’t be
accessed in Reducer. (B)
a) True
b) False
44. Only one distributed cache file can be
used in a Map Reduce job. (B)
a) True
b) False
45. A Map reduce job can be written in: (D)
a) Java
b) Ruby
c) Python
d) Any Language which can read from input
stream
46. Pig is a: (B)
a)
Programming Language
b)
Data Flow Language
c)
Query Language
d)
Database
47. Pig is good for: (E)
a)
Data Factory operations
b)
Data Warehouse operations
c)
Implementing complex SQLs
d)
Creating multiple datasets from a single large dataset
e)
Both (a) and (d)
48. Pig can be used for real-time data
updates. (B)
a)
True
b)
False
49. Pig jobs have the same run time as the
native Map Reduce jobs. (B)
a)
True
b)
False
50. Which of the following is the correct
representation to access ‘’Skill” from the (A)
Bag {‘Skills’,55, (‘Skill’, ‘Speed’), {2,
(‘San’, ‘Mateo’)}}
a)
$3.$1
b)
$3.$0
c)
$2.$0
d)
$2.$1
51. Replicated joins are useful for
dealing with data skew. (B)
a) True
b) False
52. Maximum size allowed for small dataset
in replicated join is: (C)
a) 10KB
b) 10 MB
c) 100 MB
d) 500 MB
53. Parameters could be passed to Pig
scripts from: (E)
a) Parent Pig Scripts
b) Shell Script
c) Command Line
d) Configuration File
e) All the above except (a)
54. The schema of a relation can be
examined through: (B)
a) ILLUSTRATE
b) DESCRIBE
c) DUMP
d) EXPLAIN
55. DUMP Statement writes the output in a
file. (B)
a) True
b) False
56. Data can be supplied to PigUnit tests
from: (C)
a)
HDFS Location
b)
Within Program
c)
Both (a) and (b)
d)
None of the above
57. Which of the following constructs are
valid Pig Control Structures? (D)
a)
If-else
b)
For Loop
c)
Until Loop
d)
None of the above
58. Which of following is the return data
type of Filter UDF? (C)
a)
String
b)
Integer
c)
Boolean
d)
None of the above
59. UDFs can be applied only in FOREACH
statements in Pig. (A)
a)
True
b)
False
60. Which of the following are not
possible in Hive? (E)
a)
Creating Tables
b)
Creating Indexes
c)
Creating Synonym
d)
Writing Update Statements
e)
Both (c) and (d)
61. Who will initiate the mapper? (A)
a) Task tracker
b) Job tracker
c) Combiner
d) Reducer
62. Categorize the following to the
following datatype
a) JSON files – Semi-structured
b) Word Docs , PDF Files , Text files –
Unstructured
c) Email body – Unstructured
d) Data from enterprise systems (DB, CRM)
– Structured
63. Which of the following are the Big
Data Solutions Candidates? (E)
a) Processing 1.5 TB data everyday
b)
Processing 30 minutes Flight sensor data
c)
Interconnecting 50K data points (approx. 1 MB input file)
d)
Processing User clicks on a website
e)
All of the above
64. Hadoop is a framework that allows the
distributed processing of: (C)
a)
Small Data Sets
b)
Semi-Large Data Sets
c)
Large Data Sets
d)
Large and Small Data sets
65. Where does Sqoop ingest data from? (B)
& (D)
a)
Linux File Directory
b)
Oracle
c)
HBase
d)
MySQL
e)
MongoDB
66. Identify the batch processing
scenarios from following: (C) & (E)
a)
Sliding Window Averages Job
b)
Facebook Comments Processing Job
c)
Inventory Dynamic Pricing Job
d)
Fraudulent Transaction Identification Job
e)
Financial Forecasting Job
67. Which of the following is not true
about Name Node? (B)& (C) &(D)
a) It is the Master Machine of the Cluster
b)
It is Name Node that can store user data
c)
Name Node is a storage heavy machine
d)
Name Node can be replaced by any Data Node Machine
68. Which of the following are NOT metadata
items? (E)
a) List
of HDFS files
b)
HDFS block locations
c)
Replication factor of files
d)
Access Rights
e)
File Records distribution
69. What decides number of Mappers for a
MapReduce job? (C)
a)
File Location
b)
mapred.map.tasks parameter
c)
Input file size
d)
Input Splits
70. Name Node monitors block replication
process ( B)
a)
TRUE
b)
FALSE
c)
Depends on file type
71. Which of the following are true for
Hadoop Pseudo Distributed Mode? (C)
a)
It runs on multiple machines
b) Runs on multiple machines without any daemons
c)
Runs on Single Machine with all daemons
d)
Runs on Single Machine without all daemons
72. Which of following statement(s) are
correct? ( C)
a) Master
and slaves files are optional in Hadoop 2.x
b) Master file has list of all name nodes
c)
Core-site has hdfs and MapReduce related common properties
d)
hdfs-site file is now deprecated in Hadoop 2.x
73. Which of the following is
true for Hive? ( C)
a) Hive is the database of Hadoop
b)
Hive supports schema checking
c) Hive doesn’t allow row level updates
d)
Hive can replace an OLTP system
74. Which of the following is the highest
level of Data Model in Hive? (c)
a) Table
b) View
c) Database
d) Partitions
75. Hive queries response time is in order
of (C)
a) Hours at least
b) Minutes at least
c) Seconds at least
d) Milliseconds
at least
76. Managed tables in Hive: (D)
a)
Can load the data only from HDFS
b)
Can load the data only from local file system
c)
Are useful for enterprise wide data
d) Are
Managed by Hive for their data and metadata
77. Partitioned tables in Hive: (D)
a)
Are aimed to increase the performance of the queries
b) Modify the underlying HDFS structure
c) Are not useful if the filter columns
for query are different from the partition columns
d)
All of the above
78. Hive UDFs can only be written in Java
( B )
a) True
b) False
79. Hive can load the data from: ( D )
a) Local File system
b) HDFS File system
c) Output of a Pig Job
d) All of the above
80. HBase is a key/value store.
Specifically it is: ( E )
a)
Sparse
b)
Sorted Map
c)
Distributed
d)
Consistent
e)
Multi- dimensional
81. Which of the following is the outer
most part of HBase data model ( A )
a)
Database
b)
Table
c)
Row key
d)
Column family
82. Which of the following is/are true? (A
& D)
a)
HBase table has fixed number of Column families
b)
HBase table has fixed number of Columns
c)
HBase doesn’t allow row level updates
d)
HBase access HDFS data
83. Data can be loaded in HBase from Pig
using ( D )
a) PigStorage
b) SqoopStorage
c) BinStorage
d) HbaseStorage
84. Sqoop can load the data in HBase (A)
a) True
b) False
85. Which of the following APIs can be
used for exploring HBase tables? (D)
a) HBaseDescriptor
b) HBaseAdmin
c) Configuration
d) HTable
86. Which of the following tables in HBase
holds the region to key mapping? (B)
a) ROOT
b) .META.
c) MAP
d) REGIONS
87. What is the data type of version in
HBase? (B)
a) INT
b) LONG
c) STRING
d) DATE
88. What is the data type of row key in HBase? (D)
a) INT
b) STRING
c) BYTE
d) BYTE[]
89. HBase first reads the data from (B)
a) Block
Cache
b)
Memstore
c) HFile
d) WAL
90. The High availability of Namenode is achieved
in HDFS2.x using (C)
a) Polled
Edit Logs
b)
Synchronized Edit Logs
c) Shared
Edit Logs
d) Edit
Logs Replacement
91. The application master monitors all Map
Reduce applications in the cluster (B)
a) True
b) False
92. HDFS Federation is useful for the cluster
size of: (C)
a)
>500 nodes
b)
>900 nodes
c) >
5000 nodes
d) >
3500 nodes
93. Hive managed tables stores the data in (C)
a) Local Linux path
b) Any HDFS path
c) HDFS warehouse path
d) None of the above
94. On dropping managed tables, Hive: (C)
a) Retains data, but deletes metadata
b) Retains metadata, but deletes data
c) Drops both, data and metadata
d) Retains both, data and metadata
95. Managed tables don’t allow loading data from other
tables. (B)
a) True
b) False
96. External tables can load the data from
warehouse Hive directory. (A)
a) True
b) False
97. On dropping external tables, Hive: (A)
a) Retains data, but deletes metadata
b) Retains metadata, but deletes data
c) Drops both, data and metadata
d) Retains both, data and metadata
98. Partitioned tables can’t load the data from
normal (partitioned) tables (B)
a) True
b) False
99. The partitioned columns in Hive tables are (B)
a)
Physically present and can be accessed
b)
Physically absent but can be accessed
c)
Physically present but can’t be accessed
d)
Physically absent and can’t be accessed
100. Hive data models represent (C)
a) Table
in Metastore DB
b) Table
in HDFS
c)
Directories in HDFS
d) None
of the above
