Predictive analytics uses statistics and ____ to determine future performance.
Algorithmic techniques
Modeling techniques
System development and design techniques
None of the mentioned above
Correct Answer :
B. Modeling techniques
Predictive analytics uses statistics and modeling techniques to determine future performance. Predictive models help make weather forecasts, develop video games, translate voice-to-text messages, customer service decisions, and develop investment portfolios. Predictive models include decision trees, regression, and neural networks.
Related Questions
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
In order to interact with HDFS, a command line interface named _____ is provided.
HDFS Shell
DFS Shell
K Shell
FS Shell
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
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
Data that does not conform to a data model or data schema is known as ______.
Structured data
Unstructured data
Semi-structured data
All of the mentioned above
Custom Application of Big data for business to meet ______.
Business needs
Facilitates cloud computing and
Hypervisor
Virtualization
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
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
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
Predictive analytics relies on capturing relationships between explanatory variables and the _____.
Predicted variables
Descriptive variables
Prescriptive variables
All of the mentioned above
The weight of a machine is a,
Discrete variable
Quantitative variable
Qualitative variable
Superlative variable
Amongst which of the following is not aligns as a characteristic of HDFS?
HDFS file system is well suited for storing data associated with applications that require low latency data access.
HDFS is well-suited for storing data connected to applications that require low-latency data access to be performed.
HDFS is not suited for instances in which multiple/simultaneous writes to the same file are required.
None of the mentioned above
To automate the big data solutions like workflows, we use _____ technology.
Orchestration
HBase
HDFS
None 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
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
Custom extensions built in the ____ programming language are also supported by Hive.
Java
C#
C
C++
______ is best described as a programming model that is used to construct Hadoop-based applications that can be scaled up and down.
Oozie
Zookepper
MapReduce
All of the mentioned above
Amongst which of the following can be considered as the main source of unstructured data.
Webpages
All 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
To process large data sets quickly, big data architectures use.
Distributed computing
Cluster computing
Parallel computing
All of the mentioned above
Descriptive analytics is a statistical method that is used to search and summarize ____ in order to identify patterns or meaning.
Account data
Historical data
Financial data
None of the mentioned above
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
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
A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.
Virtualization software
System software
Integrated approach
None of the mentioned above
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
In Big Data environment, Veracity of data refers -
Quality or fidelity of data
Large size of the data that cannot be process
Small size of the data that can easily process
All of the mentioned above
Analytics has begun to impact almost every industry including,
Healthcare,
Education and telecom
Telecom
All of the mentioned above
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
______ 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
How many V's of Big Data?
2
3
4
5