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
Correct Answer :
A. Worth in information
The amount of information gained from the processing and analysis of massive datasets is worth its weight in gold. An evaluation of the various characteristics of big data can also be used to determine its value. The profitability of knowledge derived from the processing of large amounts of data may also be represented by the term value.
Related Questions
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
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
Analytics has begun to impact almost every industry including,
Healthcare,
Education and telecom
Telecom
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
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
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All of the mentioned above
Amongst which of the following is / are the applications of Predictive Analytics,
Translating voice to text for mobile phone messaging
Investment portfolio development
Weather forecasts
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
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
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
The data could be presented through a low-latency _____ technology.
DBMS
NoSQL
Data store
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
Amongst which of the following is / are the goodness of prescriptive analytics,
Exhausting valuable resources on housing data that does not inform business decisions
Spending time sifting through unutilized data sets
Missing out on unique revenue streams and insights
All of the mentioned above
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
Data Visualization Layer,
To visualize the data
To access the data
To process the data
All 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
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
Database requirements for operational data includes ___.
Indexing and Cataloging, Replication
File Storage and Structure, Query Processing
Transactions Support
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
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
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
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
The _____ tool has the capability of listing all of the possible database schemas.
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns
Apache Hive is data storage and ______ that stores and organizes data for study and querying.
Querying tool
Mapper
MapReduce
All 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
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
Hypervisor is a practical approach of getting things virtualized _______.
Quickly and efficiently
Systematic approach
Both A and B
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
In order to interact with HDFS, a command line interface named _____ is provided.
HDFS Shell
DFS Shell
K Shell
FS Shell