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
Correct Answer :
D. All of the mentioned above
Prescriptive analytics is one option that can assist our company in identifying data-driven strategic decisions and avoiding the limitations of standard data analytics practices, such as: expending valuable resources on housing data that does not inform business decisions, and wasting time and resources on data that does not inform business decisions. It is a waste of time to trawl through underutilized data sets and miss out on potentially lucrative revenue streams and insights.
Related Questions
Data Visualization Layer,
To visualize the data
To access the data
To process the data
All of the mentioned above
A _____ serves as the master, and each cluster has just one NameNode.
Data Node
Block Size
Data block
NameNode
Amongst which of the following shows an example of unstructured data,
Students roll number, age
Videos
Audio files
Both B and C
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
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
_____ 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
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
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
The data that can be processed, stored, and retrieved in a fixed format called _____,
Structured Data
Unstructured Data
Semi-structured Data
None of the mentioned above
Hypervisors are used for many different tasks, including ____ server management, and simply running programs.
Cloud computing
Security management
Integrated approach
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
Data interpretation refers -
Process of attaching meaning to the data
Convert text into insightful information
Effective conclusion
All 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
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
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
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
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
Apache Hive is a data ______ infrastructure that is built on top of the Hadoop platform.
Warehouse
Map
Reduce
None of the mentioned above
The data could be presented through a low-latency _____ technology.
DBMS
NoSQL
Data store
None of the mentioned above
HDFS operates in a ____ manner.
Master-slave architecture
Master-worker architecture
Worker-slave architecture
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
The data which have already been collected by someone is called _____ data.
Primary data
Secondary data
Quantitative data
Qualitative data
______ 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
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 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
Predictive analytics uses statistics and ____ to determine future performance.
Algorithmic techniques
Modeling techniques
System development and design techniques
None of the mentioned above
____ is also known as Hosted Hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
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