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
Correct Answer :
A. Algorithms
Using similar modelling structures to anticipate outcomes, predictive analytics employs a combination of machine learning, business rules, artificial intelligence, and algorithms to simulate a variety of approaches to the different outcomes that can be predicted.
Related Questions
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
HQL is a query language that is used to construct the custom map-reduce framework in Hive, which is written in ______.
Java
PHP
C#
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
Predictive analytics relies on capturing relationships between explanatory variables and the _____.
Predicted variables
Descriptive variables
Prescriptive variables
All of the mentioned above
Custom Application of Big data for business to meet ______.
Business needs
Facilitates cloud computing and
Hypervisor
Virtualization
How many V's of Big Data?
2
3
4
5
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
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
___ a record is created for every search key valued in the database.
Primary Index
Secondary Index
Complex Index
None of the mentioned above
The architecture should designed in such a way so that it can handle ______.
Data ingestion
Data processing
Data analysis
All of the mentioned above
Amongst which of the following is / are the correct workflow of predictive analytics,
Import data → Clean the data → Develop a predictive model → Integrate the model
Clean the data → Develop a predictive model → Import data → Integrate the model
Clean the data → Develop a predictive model → Import data → Integrate the model
None of the mentioned above
Amongst which of the following is / are true to run MongoDB?
High availability through built-in replication and failover
Management tooling for automation, monitoring, and backup
Fully elastic database as a service with built-in best practices
All of the mentioned above
Data Visualization Layer,
To visualize the data
To access the data
To process the data
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
Reporting and visualization enables.
Processing of data
User friendly representation
Both A and B
None of the mentioned above
Veracity makes sure that the data is _______.
Accurate
Inconsistence
Variant
None 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
____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
All of the mentioned above
In computers, a ____ is a symbolic representation of facts or concepts from which information may be obtained with a reasonable degree of confidence.
Data
Knowledge
Program
Algorithm
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 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
To automate the big data solutions like workflows, we use _____ technology.
Orchestration
HBase
HDFS
None of the mentioned above
Large _____ of data is considered as big data.
Volume
Veracity
Variety
None of the mentioned above
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 represents the Use of Hadoop,
Robust and Scalable
Affordable and Cost Effective
Adaptive and Flexible
All 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
Amongst which of the following can be considered as the main source of unstructured data.
Webpages
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 Big Data environments, Variety of data includes
Includes multiple formats and types of data
Includes structured data in the form of financial transactions,
Includes semi-structured data in the form of emails and unstructured data in the form of images
All 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