Amongst which of the following is/are not Big Data Technologies?
Apache Hadoop
Apache Spark
Apache Kafka
Apache Pytarch
Correct Answer :
D. Apache Pytarch
Apache Pytarch is not a Big Data technology in the traditional sense. As part of a big data solution, Apache Hadoop, Apache Spark, and Apache Kafka are utilized. The Hadoop Distributed File System (HDFS) and a data processing engine that executes the MapReduce program to filter and sort data are the two primary components of Apache Hadoop. HDFS is a distributed file system that stores and distributes data across several computers. Apache Spark can also be used in conjunction with HDFS or another distributed file system. Hadoop MapReduce is capable of processing significantly larger data sets than Spark, particularly when the total size of the data collection exceeds the amount of memory that is available.
Related Questions
Data interpretation refers -
Process of attaching meaning to the data
Convert text into insightful information
Effective conclusion
All 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
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
The _____ tool has the capability of listing all of the possible database schemas.
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns
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
A _____ serves as the master, and each cluster has just one NameNode.
Data Node
Block Size
Data block
NameNode
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
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All 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
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
Azure Synapse Analytics provides a managed service for _______.
Large-scale
Cloud-based
Data warehousing
All of the mentioned above
Amongst which of the following is not a descriptive statistic?
t-test
mean
standard deviation
range
Data Query Layer is the _____ where active analytic processing of Big Data takes place.
Architectural layer
Fundamental layer
Backpropogation layer
None of the mentioned above
_____ 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
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
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
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
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
_____ 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 the applications of Predictive Analytics,
Translating voice to text for mobile phone messaging
Investment portfolio development
Weather forecasts
All of the mentioned above
HDFS operates in a ____ manner.
Master-slave architecture
Master-worker architecture
Worker-slave architecture
All of the mentioned above
Amongst which of the following is/are the Hive function Meta commands.
Show functions
Describe function
Both A and B
None of the mentioned above
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
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
Large _____ of data is considered as big data.
Volume
Veracity
Variety
None of the mentioned above
Hadoop is a framework that can be used in conjunction with a number of related products. Among the most common cohorts are ______.
MapReduce, Hive and HBase
Hive, Spark and HBase
Spark, Hive and ZooKeeper
Spark, HBase and Hive
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
Prescriptive analytics utilizes business rules, artificial intelligence, and ____ to simulates various approaches to these numerous outcomes.
Algorithms
Flowchart
System flow
None of the mentioned above
Volume, Velocity and Variety are _____ to Big Data,
Intrinsic
Extrinsic
Both A and B
None of the mentioned above
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce