The data could be presented through a low-latency _____ technology.
DBMS
NoSQL
Data store
None of the mentioned above
Correct Answer :
B. NoSQL
The data could be presented through a low-latency NoSQL technology such as HBase, or an interactive Hive database that provides a metadata abstraction over data files in the distributed data store.
Related Questions
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
The ability to model prices on a variety of factors allows them to make ______ about production, storage, and new discoveries.
No decisions
Better decisions
Unpredictable things
None of the mentioned above
Amongst which of the following is not a descriptive statistic?
t-test
mean
standard deviation
range
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
To process large data sets quickly, big data architectures use.
Distributed computing
Cluster computing
Parallel computing
All of the mentioned above
The goal of most big data solutions is to provide insights into the data through _____.
Hive
HBase
Analysis and reporting
All 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
Machine learning in predictive analytics uses to enable computers to learn without being explicitly programmed by building algorithms that can receive _____ and use statistics to predict an output.
Input data
Output data
Process data
All of the mentioned above
Hypervisors that run several virtual machines on one ____ resources also allow for more efficient utilization,
Physical machine
Abstract machine
System integration
All of the mentioned above
Predictive analytics relies on capturing relationships between explanatory variables and the _____.
Predicted variables
Descriptive variables
Prescriptive variables
All of the mentioned above
Database requirements for operational data includes ___.
Indexing and Cataloging, Replication
File Storage and Structure, Query Processing
Transactions Support
All of the mentioned above
The _______ is the default partitioned in Hadoop, and it offers a method called getPartition that allows us to partition data.
HashPartitioner
Map function
Reduce function
All of the mentioned above
____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
All 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
In Big Data environments, Velocity refers
Data can arrive at fast speed
Enormous datasets can accumulate within very short periods of time
Velocity of data translates into the amount of time it takes for the data to be processed
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
In the given Virtual Architecture, name the missing layer,
Virtualization layer
Storage layer
Abstract layer
None of the mentioned above
How many V's of Big Data?
2
3
4
5
Custom Application of Big data for business to meet ______.
Business needs
Facilitates cloud computing and
Hypervisor
Virtualization
The MapReduce framework is responsible for processing one or more pieces of data and producing the output results as ______.
Maptask
Task execution
Mapper
All of the mentioned above
The weight of a machine is a,
Discrete variable
Quantitative variable
Qualitative variable
Superlative variable
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
_____ 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
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
Data interpretation refers -
Process of attaching meaning to the data
Convert text into insightful information
Effective conclusion
All 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
Variety describes one of the biggest challenges of ______.
Big data
Data science
Data integration
None 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
Data in ____ bytes size is called Big Data.
Tera
Giga
Peta
Meta
Analytics has begun to impact almost every industry including,
Healthcare,
Education and telecom
Telecom
All of the mentioned above