Amongst which of the following is / are the challenge of Big Data processing,
Goes beyond the massive volumes
Increasing velocities of data
Both A and B
None of the mentioned above
Correct Answer :
C. Both A and B
Beyond the vast volumes and growing speeds of data, the issue of Big Data processing is in handling the enormous diversity of data that is produced. When seen as a whole, these data appear to be an incomprehensible blob with no discernible pattern.
Related Questions
In the layered architecture of Big Data Stack, Interfaces and feeds,
Internally managed data
Data feeds from external sources.
It provides access to each and every layer & components of big data stack
All of the mentioned above
Amongst which of the following is / are true with reference to predictive modeling,
A tool used in predictive analytics
A process that uses data mining and statistics to develop models
Examine current and historical datasets for underlying patterns
All of the mentioned above
Amongst which of the following shows an example of unstructured data,
Students roll number, age
Videos
Audio files
Both B and C
Database requirements for operational data includes ___.
Indexing and Cataloging, Replication
File Storage and Structure, Query Processing
Transactions Support
All of the mentioned above
Operational Database with distributed systems and ___ based system can harness the true potential with big data.
SQL
NoSQL
PL / SQL
None of the mentioned above
Prescriptive analytics makes the use of machine learning to help ____ to decide a course of action based on a computer program's predictions.
Business organizations
System development
Employees development
All of the mentioned above
Amongst which of the following is / are the types of predictive analytics techniques,
Predictive models
Descriptive models
Decision models
All 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 the examples of descriptive analytics,
Traffic and Engagement Reports
Financial Statement Analysis
Demand Trends and Aggregated Survey Results
All 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
Amongst which of the following is /are the techniques that are used for predictive analytics,
Linear Regression
Time series analysis and forecasting
Data Mining
All of the mentioned above
Amongst which of the following is/are the Hive function Meta commands.
Show functions
Describe function
Both A and B
None 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 the cloud deployment models,
Public Cloud
Private Cloud
Hybrid Cloud
All of the mentioned above
MongoDB support cross platform and is written in _____ language.
Python
C++
R
Java
The _____ tool has the capability of listing all of the possible database schemas.
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns
Big Data Ingestion Layer concerned with the,
Big Data ingestion pipeline is divided into different layers
Each layer performs a particular function
Both A and B
None of the mentioned above
The data which have already been collected by someone is called _____ data.
Primary data
Secondary data
Quantitative data
Qualitative data
What is a Virtual Machine (VM)?
Virtual representation of a physical computer
Virtual representation of a logical computer
Virtual System Integration
All of the mentioned above
Data in ____ bytes size is called Big Data.
Tera
Giga
Peta
Meta
To process large data sets quickly, big data architectures use.
Distributed computing
Cluster computing
Parallel computing
All of the mentioned above
How many V's of Big Data?
2
3
4
5
Amongst which of the following is not a descriptive statistic?
t-test
mean
standard deviation
range
The architecture should designed in such a way so that it can handle ______.
Data ingestion
Data processing
Data analysis
All of the mentioned above
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
Predictive analytics is a process harnesses ____, often massive, data sets into models.
Heterogeneous
Storage
Network
None of the mentioned above
Custom Application of Big data for business to meet ______.
Business needs
Facilitates cloud computing and
Hypervisor
Virtualization
_____ 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
The Hadoop framework is built in Java, which means that MapReduce applications do not need to be written in _____.
C#
C
Java
None of the mentioned above
Security infrastructure refers the data about your constituents needs to be protected to ____.
Meet compliance requirements
Protect the privacy
Both A and B
None of the mentioned above