Engineering Questions with Answers - Multiple Choice Questions
Hadoop MCQs
1 - Question
1. ________ systems are scale-out file-based (HDD) systems moving to more uses of memory in the nodes.
a) NoSQL
b) NewSQL
c) SQL
d) All of the mentioned
View Answer
Answer: a
Explanation: NoSQL systems make the most sense whenever the application is based on data with varying data types and the data can be stored in key-value notation.
Explanation: NoSQL systems make the most sense whenever the application is based on data with varying data types and the data can be stored in key-value notation.
2 - Question
2. Point out the correct statement.
a) Hadoop is ideal for the analytical, post-operational, data-warehouse-ish type of workload
b) HDFS runs on a small cluster of commodity-class nodes
c) NEWSQL is frequently the collection point for big data
d) None of the mentioned
View Answer
Answer: a
Explanation: Hadoop together with a relational data warehouse, they can form very effective data warehouse infrastructure.
3 - Question
3. Hadoop data is not sequenced and is in 64MB to 256MB block sizes of delimited record values with schema applied on read based on ____________
a) HCatalog
b) Hive
c) Hbase
d) All of the mentioned
View Answer
Answer: a
Explanation: Other means of tagging the values also can be used.
Explanation: Other means of tagging the values also can be used.
4 - Question
4. __________ are highly resilient and eliminate the single-point-of-failure risk with traditional Hadoop deployments.
a) EMR
b) Isilon solutions
c) AWS
d) None of the mentioned
View Answer
Answer: b
Explanation: enterprise data protection and security options including file system auditing and data-at-rest encryption to address compliance requirements are also provided by Isilon solution.
5 - Question
5. Point out the wrong statement.
a) EMC Isilon Scale-out Storage Solutions for Hadoop combine a powerful yet simple and highly efficient storage platform
b) Isilon native HDFS integration means you can avoid the need to invest in a separate Hadoop infrastructure
c) NoSQL systems do provide high latency access and accommodate less concurrent users
d) None of the mentioned
View Answer
Answer: c
Explanation: NoSQL systems do provide low latency access and accommodate many concurrent users.
Explanation: NoSQL systems do provide low latency access and accommodate many concurrent users.
6 - Question
6. HDFS and NoSQL file systems focus almost exclusively on adding nodes to ____________
a) Scale out
b) Scale up
c) Both Scale out and up
d) None of the mentioned
View Answer
Answer: a
Explanation: HDFS and NoSQL file systems focus almost exclusively on adding nodes to increase performance (scale-out) but even they require node configuration with elements of scale up.
Explanation: HDFS and NoSQL file systems focus almost exclusively on adding nodes to increase performance (scale-out) but even they require node configuration with elements of scale up.
7 - Question
7. Which is the most popular NoSQL database for scalable big data store with Hadoop?
a) Hbase
b) MongoDB
c) Cassandra
d) None of the mentioned
View Answer
Answer: a
Explanation: HBase is the Hadoop database: a distributed, scalable Big Data store that lets you host very large tables — billions of rows multiplied by millions of columns — on clusters built with commodity hardware.
8 - Question
8. The ___________ can also be used to distribute both jars and native libraries for use in the map and/or reduce tasks.
a) DataCache
b) DistributedData
c) DistributedCache
d) All of the mentioned
View Answer
Answer: c
Explanation: The child-jvm always has its current working directory added to the java.library.path and LD_LIBRARY_PATH.
9 - Question
9. HBase provides ___________ like capabilities on top of Hadoop and HDFS.
a) TopTable
b) BigTop
c) Bigtable
d) None of the mentioned
View Answer
Answer: c
Explanation: Google Bigtable leverages the distributed data storage provided by the Google File System.
Explanation: Google Bigtable leverages the distributed data storage provided by the Google File System.
10 - Question
10. __________ refers to incremental costs with no major impact on solution design, performance and complexity.
a) Scale-out
b) Scale-down
c) Scale-up
d) None of the mentioned
View Answer
Answer: c
Explanation: Adding more CPU/RAM/Disk capacity to Hadoop DataNode that is already part of a cluster does not require additional network switches.