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
Correct Answer :
C. Analysis and reporting
The purpose of most big data solutions is to deliver insights into the data through analysis and reporting. A data modeling layer, such as a multidimensional OLAP cube or a tabular data model in Azure Analysis Services, may be included in the design to enable users to perform data analysis on the information.
Related Questions
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
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
_____ 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
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
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
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
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
Predictive analytics is a process harnesses ____, often massive, data sets into models.
Heterogeneous
Storage
Network
None of the mentioned above
A hypervisor is a technology responsible for ensuring ____ takes place in an orderly and repeatable way.
Operating system
Resource sharing
System integration
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
Amongst which of the following is not a descriptive statistic?
t-test
mean
standard deviation
range
______ 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 is/are represents the Value of data in Big Data environment,
Worth in information
Useless data
Useless information
None 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
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
MongoDB support cross platform and is written in _____ language.
Python
C++
R
Java
Scalability, elasticity, resource pooling, self-service, low cost and fault tolerance are the features of,
Cloud computing
Power BI
System development
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 not Big Data Technologies?
Apache Hadoop
Apache Spark
Apache Kafka
Apache Pytarch
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
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
HDFS operates in a ____ manner.
Master-slave architecture
Master-worker architecture
Worker-slave architecture
All of the mentioned above
Large _____ of data is considered as big data.
Volume
Veracity
Variety
None 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
Custom extensions built in the ____ programming language are also supported by Hive.
Java
C#
C
C++
_____ 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
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
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 most suitable with reference to the data collector layer,
Transportation of data from the ingestion layer to the rest of the data pipeline
Data storage
Data identification
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