MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
Correct Answer :
C. NoSQL
MongoDB is a NoSQL (non-relational) database. Databases that are not tabular in nature, such as NoSQL databases, store data in a different way than relational tables. NoSQL databases are classified into a number of categories based on the data model they use. Document, key-value, wide-column, and graph are the four most common types. They are capable of supporting variable schemas and scaling quickly when dealing with big amounts of data and significant user traffic.
Related Questions
Amongst which of the following is /are most suitable with reference to the data collector layer,
Transportation of data from the ingestion layer to the rest of the data pipeline
Data storage
Data identification
None of the mentioned above
The data that can be processed, stored, and retrieved in a fixed format called _____,
Structured Data
Unstructured Data
Semi-structured Data
None of the mentioned above
Amongst which of the following is / are true with reference to Decision trees,
A learning model
Uses observations
Develop conclusions
All of the mentioned above
Variety describes one of the biggest challenges of ______.
Big data
Data science
Data integration
None of the mentioned above
_____ maps input key/value pairs to a set of intermediate key/value pairs.
Reducer
Mapper
File system
All of these
Amongst which of the following is/are true with reference to User-defined Functions of Hive.
function that fetches one or more columns from a row as arguments
It returns a single value
Both A and B
None of the mentioned above
Type-2 Hypervisor allows quick and easy access to a guest _____ alongside the host machine running.
Application software
System software
Operating System
None of the mentioned above
Data Query Layer is the _____ where active analytic processing of Big Data takes place.
Architectural layer
Fundamental layer
Backpropogation layer
None of the mentioned above
Prescriptive analytics utilizes business rules, artificial intelligence, and ____ to simulates various approaches to these numerous outcomes.
Algorithms
Flowchart
System flow
None of the mentioned above
_____ are two techniques used in descriptive analytics to discover historical data.
Data ingestion and data mining
Data warehouse and data storage
Data aggregation and data mining
All of the mentioned above
Amongst which of the following is / are the applications of Predictive Analytics,
Translating voice to text for mobile phone messaging
Investment portfolio development
Weather forecasts
All of the mentioned above
The data which have already been collected by someone is called _____ data.
Primary data
Secondary data
Quantitative data
Qualitative data
Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.
Analyzes data
Data storage
Data ingestion
None of the mentioned above
Amongst which of the following is / are true with reference to hypothesis?
A statement that the researcher wishes to put to the test using the information gathered during a study.
A research question that will be answered as a result of the findings.
A theory that serves as the foundation for the research.
the application of statistics to determine the extent to which the outcomes could have been caused by chance
Apache Hive is data storage and ______ that stores and organizes data for study and querying.
Querying tool
Mapper
MapReduce
All of the mentioned above
Amongst which of the following is / are the goodness of prescriptive analytics,
Exhausting valuable resources on housing data that does not inform business decisions
Spending time sifting through unutilized data sets
Missing out on unique revenue streams and insights
All of the mentioned above
HDFS stores data in a distributed manner, the data can be processed in parallel on a _____ of nodes.
Cluster
Data Node
Master Node
None of the mentioned above
Amongst which of the following is / are correct,
Hive is a relational database that supports SQL queries.
Pig is a relational database that supports SQL queries.
Both A and B
None of the mentioned above
An ____ consisted of highly structured data managed by the line of business in a relational database.
Operational data source
Qualitative data source
Both A and B
None of the mentioned above
Effective _____ prescriptive data tools can help businesses using informed data to create the processes and for managing and analyzing data anytime and anywhere.
Cloud-based
Data warehouse
System ingestion
All of the mentioned above
Hypervisor is a practical approach of getting things virtualized _______.
Quickly and efficiently
Systematic approach
Both A and B
All of the mentioned above
Custom Application of Big data for business to meet ______.
Business needs
Facilitates cloud computing and
Hypervisor
Virtualization
Apache Hive is a data ______ infrastructure that is built on top of the Hadoop platform.
Warehouse
Map
Reduce
None of the mentioned above
HDFS operates in a ____ manner.
Master-slave architecture
Master-worker architecture
Worker-slave architecture
All of the mentioned above
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All of the mentioned above
In the given Virtual Architecture, name the missing layer,
Virtualization layer
Storage layer
Abstract layer
None of the mentioned above
Volume, Velocity and Variety are _____ to Big Data,
Intrinsic
Extrinsic
Both A and B
None of the mentioned above
Data in ____ bytes size is called Big Data.
Tera
Giga
Peta
Meta
Amongst which of the following is / are the types of predictive analytics techniques,
Predictive models
Descriptive models
Decision models
All of the mentioned above
The _____ tool has the capability of listing all of the possible database schemas.
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns