Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
Correct Answer :
C. Hive
Scalability is prioritized over latency in Hive. The performance of queries is influenced by the size of the cluster and the volume of data. In most cases, increasing cluster capacity alleviates problems caused by memory limits or disc performance limitations. Larger clusters, on the other hand, are more prone to experience various types of scalability challenges, such as a single slow node that causes query performance concerns.
Related Questions
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
Predictive analytics relies on capturing relationships between explanatory variables and the _____.
Predicted variables
Descriptive variables
Prescriptive variables
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 database which is used to manage and store data in real time is called ___.
Traditional database
Operational database
Database Management System
None of the mentioned above
____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
All of the mentioned above
_____ is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.
$HIVE_HOME/bin/hive
$HIVE/bin/
$HIVE_HOME/hive
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
Predictive analytics uses statistics and ____ to determine future performance.
Algorithmic techniques
Modeling techniques
System development and design techniques
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
Azure Synapse Analytics provides a managed service for _______.
Large-scale
Cloud-based
Data warehousing
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
______ 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
HDFS operates in a ____ manner.
Master-slave architecture
Master-worker architecture
Worker-slave architecture
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
Amongst which of the following is not a descriptive statistic?
t-test
mean
standard deviation
range
An ____ consisted of highly structured data managed by the line of business in a relational database.
Operational data source
Qualitative data source
Both A and B
None 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
Custom extensions built in the ____ programming language are also supported by Hive.
Java
C#
C
C++
Variety describes one of the biggest challenges of ______.
Big data
Data science
Data integration
None of the mentioned above
To automate the big data solutions like workflows, we use _____ technology.
Orchestration
HBase
HDFS
None 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
Database requirements for operational data includes ___.
Indexing and Cataloging, Replication
File Storage and Structure, Query Processing
Transactions Support
All of the mentioned above
Data in ____ bytes size is called Big Data.
Tera
Giga
Peta
Meta
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
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
Amongst which of the following can be considered as the main source of unstructured data.
Webpages
All of the mentioned above
The weight of a machine is a,
Discrete variable
Quantitative variable
Qualitative variable
Superlative variable
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
Amongst which of the following is / are true with reference to Decision trees,
A learning model
Uses observations
Develop conclusions
All of the mentioned above