____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
All of the mentioned above
Correct Answer :
A. Mapreduce
MapReduce is a programming model which enables massive scalability across hundreds or thousands of servers in a Hadoop cluster. MapReduce is known as the heart and soul of Apache Hadoop because of its processing and computing power.
Related Questions
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
_____ is a form of interactive data exploration by data scientists or data analysts.
Data and storage
Analysis and reporting
System and development
None of the mentioned above
Many big data solutions prepare data for analysis and then serve the processed data in a,
Structured format
Unstructured format
Semi-structured format
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
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
Large _____ of data is considered as big data.
Volume
Veracity
Variety
None 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
Custom Application of Big data for business to meet ______.
Business needs
Facilitates cloud computing and
Hypervisor
Virtualization
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All of the mentioned above
____ is also known as Hosted Hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Amongst which of the following is/are represents the Value of data in Big Data environment,
Worth in information
Useless data
Useless information
None of the mentioned above
_____ is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.
$HIVE_HOME/bin/hive
$HIVE/bin/
$HIVE_HOME/hive
All of the mentioned above
Scalability, elasticity, resource pooling, self-service, low cost and fault tolerance are the features of,
Cloud computing
Power BI
System development
None of the mentioned above
Data Visualization Layer,
To visualize the data
To access the data
To process the data
All of the mentioned above
MongoDB support cross platform and is written in _____ language.
Python
C++
R
Java
____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
All of the mentioned above
Data warehouse modeling is the initial stage of building a data warehouse wherein the ___ is designed.
Schema
Table
Both A and B
None of the mentioned above
To process large data sets quickly, big data architectures use.
Distributed computing
Cluster computing
Parallel computing
All of the mentioned above
______ involves the simultaneous execution of multiple sub-tasks that collectively comprise a larger task.
Parallel data processing
Single channel processing
Multi data processing
None of the mentioned above
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
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
___ a record is created for every search key valued in the database.
Primary Index
Secondary Index
Complex Index
None of the mentioned above
Predictive analytics is a process harnesses ____, often massive, data sets into models.
Heterogeneous
Storage
Network
None of the mentioned above
Reporting and visualization enables.
Processing of data
User friendly representation
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
The weight of a machine is a,
Discrete variable
Quantitative variable
Qualitative variable
Superlative variable
_____ is the supporting physical infrastructure is fundamental to the operation and scalability of big data architecture.
Redundant physical infrastructure
Integrated System
Integrated Database
All of the mentioned above
Amongst which of the following is/are not Big Data Technologies?
Apache Hadoop
Apache Spark
Apache Kafka
Apache Pytarch
_____ 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