_____ 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
Correct Answer :
A. $HIVE_HOME/bin/hive
$HIVE_HOME/bin/hive is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.
Related Questions
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
_____ 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
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
In Big Data environments, Variety of data includes
Includes multiple formats and types of data
Includes structured data in the form of financial transactions,
Includes semi-structured data in the form of emails and unstructured data in the form of images
All of the mentioned above
Amongst which of the following is / are true with reference to hypothesis?
A statement that the researcher wishes to put to the test using the information gathered during a study.
A research question that will be answered as a result of the findings.
A theory that serves as the foundation for the research.
the application of statistics to determine the extent to which the outcomes could have been caused by chance
_____ hypervisor runs directly on the underlying host system. It is also known as Native Hypervisor or Bare metal hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
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
Type-2 Hypervisor allows quick and easy access to a guest _____ alongside the host machine running.
Application software
System software
Operating System
None of the mentioned above
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
In order to interact with HDFS, a command line interface named _____ is provided.
HDFS Shell
DFS Shell
K Shell
FS Shell
_____ 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 challenge of Big Data processing,
Goes beyond the massive volumes
Increasing velocities of data
Both A and B
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
_____ 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
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 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
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
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
MongoDB support cross platform and is written in _____ language.
Python
C++
R
Java
Scalability is prioritized over latency in jobs such as _____.
HBase
HDFS
Hive
Mapreduce
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
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 the examples of descriptive analytics,
Traffic and Engagement Reports
Financial Statement Analysis
Demand Trends and Aggregated Survey Results
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
____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
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
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
Apache Hive is a data ______ infrastructure that is built on top of the Hadoop platform.
Warehouse
Map
Reduce
None of the mentioned above
Large _____ of data is considered as big data.
Volume
Veracity
Variety
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