_____ maps input key/value pairs to a set of intermediate key/value pairs.
Reducer
Mapper
File system
All of these
Correct Answer :
B. Mapper
Mapper maps input key/value pairs to a set of intermediate key/value pairs. Map-Reduce is a programming methodology that is primarily divided into two parts, which are referred to as the Map Phase and the Reduce Phase, respectively. It is intended for the processing of data in parallel, which is distributed across a number of nodes.
Related Questions
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
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
In the given Virtual Architecture, name the missing layer,
Virtualization layer
Storage layer
Abstract layer
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
_____ is a platform for developing data flows for the extraction, transformation, and loading (ETL) of huge datasets, as well as for data analysis.
Spark
HBase
Hive
Pig
Reporting and visualization enables.
Processing of data
User friendly representation
Both A and B
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
Predictive analytics is a process harnesses ____, often massive, data sets into models.
Heterogeneous
Storage
Network
None of the mentioned above
Veracity makes sure that the data is _______.
Accurate
Inconsistence
Variant
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
_____ 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
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
Amongst which of the following is/are the cloud deployment models,
Public Cloud
Private Cloud
Hybrid Cloud
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
_____ 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
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
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 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
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All 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 the challenge of Big Data processing,
Goes beyond the massive volumes
Increasing velocities of data
Both A and B
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
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
Apache Hive is data storage and ______ that stores and organizes data for study and querying.
Querying tool
Mapper
MapReduce
All of the mentioned above
_____ hypervisor runs directly on the underlying host system. It is also known as Native Hypervisor or Bare metal hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None 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 in ____ bytes size is called Big Data.
Tera
Giga
Peta
Meta
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
Large _____ of data is considered as big data.
Volume
Veracity
Variety
None 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