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
Correct Answer :
A. Java
HQL is a query language that is used to construct the custom map-reduce framework in Hive, which is written in Java. Hive supports a SQL parlance known as Hive Query Language (HQL) to retrieve or modify the data. Which is stored in the Hadoop.
Related Questions
Descriptive analytics is a statistical method that is used to search and summarize ____ in order to identify patterns or meaning.
Account data
Historical data
Financial data
None of the mentioned above
Predictive analytics is a process harnesses ____, often massive, data sets into models.
Heterogeneous
Storage
Network
None 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
The ability to model prices on a variety of factors allows them to make ______ about production, storage, and new discoveries.
No decisions
Better decisions
Unpredictable things
None of the mentioned above
______ node serves as the Slave and is responsible for carrying out the Tasks that have been assigned to it by the JobTracker.
TaskReduce
Mapreduce
TaskTracker
JobTracker
Analytics has begun to impact almost every industry including,
Healthcare,
Education and telecom
Telecom
All 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
Amongst which of the following shows an example of unstructured data,
Students roll number, age
Videos
Audio files
Both B and C
Data Visualization Layer,
To visualize the data
To access the data
To process the data
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
Large _____ of data is considered as big data.
Volume
Veracity
Variety
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
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 / 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
To automate the big data solutions like workflows, we use _____ technology.
Orchestration
HBase
HDFS
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
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
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All 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
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
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
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
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 in ____ bytes size is called Big Data.
Tera
Giga
Peta
Meta
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
MongoDB is a ____ database.
SQL
DBMS
NoSQL
RDBMS
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
_____ 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
Reporting and visualization enables.
Processing of data
User friendly representation
Both A and B
None 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