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4

Data in ____ bytes size is called Big Data.

A. Tera

B. Giga

C. Peta

D. Meta

Correct Answer :

C. Peta


Big Data refers to data that is larger than a petabyte in size. The estimated volume of data that will be processed by Big Data solutions is significant and expected to continue to grow. In addition to increased storage and processing requirements, large data volumes necessitate the implementation of extra data preparation, curation, and management activities.

Related Questions

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4

Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.

A. Analyzes data

B. Data storage

C. Data ingestion

D. None of the mentioned above

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4

The Hadoop framework is built in Java, which means that MapReduce applications do not need to be written in _____.

A. C#

B. C

C. Java

D. None of the mentioned above

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4

A _____ serves as the master, and each cluster has just one NameNode.

A. Data Node

B. Block Size

C. Data block

D. NameNode

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4

____ general-purpose model and runtime framework for distributed data analytics.

A. Mapreduce

B. Spark

C. Hive

D. All of the mentioned above

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4

MongoDB is a ____ database.

A. SQL

B. DBMS

C. NoSQL

D. RDBMS

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4

______ node serves as the Slave and is responsible for carrying out the Tasks that have been assigned to it by the JobTracker.

A. TaskReduce

B. Mapreduce

C. TaskTracker

D. JobTracker

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4

Predictive analytics uses statistics and ____ to determine future performance.

A. Algorithmic techniques

B. Modeling techniques

C. System development and design techniques

D. None of the mentioned above

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4

A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.

A. Virtualization software

B. System software

C. Integrated approach

D. None of the mentioned above

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4

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

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4

Amongst which of the following is / are the goodness of prescriptive analytics,

A. Exhausting valuable resources on housing data that does not inform business decisions

B. Spending time sifting through unutilized data sets

C. Missing out on unique revenue streams and insights

D. All of the mentioned above

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4

Large _____ of data is considered as big data.

A. Volume

B. Veracity

C. Variety

D. None of the mentioned above

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4

Amongst which of the following represents the Use of Hadoop,

A. Robust and Scalable

B. Affordable and Cost Effective

C. Adaptive and Flexible

D. All of the mentioned above

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4

Hypervisors are used for many different tasks, including ____ server management, and simply running programs.

A. Cloud computing

B. Security management

C. Integrated approach

D. None of the mentioned above

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4

HDFS operates in a ____ manner.

A. Master-slave architecture

B. Master-worker architecture

C. Worker-slave architecture

D. All of the mentioned above

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4

______ is best described as a programming model that is used to construct Hadoop-based applications that can be scaled up and down.

A. Oozie

B. Zookepper

C. MapReduce

D. All of the mentioned above

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4

Amongst which of the following is / are the examples of descriptive analytics,

A. Traffic and Engagement Reports

B. Financial Statement Analysis

C. Demand Trends and Aggregated Survey Results

D. All of the mentioned above

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4

Predictive analytics is a process harnesses ____, often massive, data sets into models.

A. Heterogeneous

B. Storage

C. Network

D. None of the mentioned above

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4

The ability to model prices on a variety of factors allows them to make ______ about production, storage, and new discoveries.

A. No decisions

B. Better decisions

C. Unpredictable things

D. None of the mentioned above

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4

MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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4

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.

A. Input data

B. Output data

C. Process data

D. All of the mentioned above

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4

Amongst which of the following is / are correct,

A. Hive is a relational database that supports SQL queries.

B. Pig is a relational database that supports SQL queries.

C. Both A and B

D. None of the mentioned above

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4

______ involves the simultaneous execution of multiple sub-tasks that collectively comprise a larger task.

A. Parallel data processing

B. Single channel processing

C. Multi data processing

D. None of the mentioned above

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4

Data that does not conform to a data model or data schema is known as ______.

A. Structured data

B. Unstructured data

C. Semi-structured data

D. All of the mentioned above

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4

Descriptive analytics is a statistical method that is used to search and summarize ____ in order to identify patterns or meaning.

A. Account data

B. Historical data

C. Financial data

D. None of the mentioned above

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4

Amongst which of the following is / are true with reference to Decision trees,

A. A learning model

B. Uses observations

C. Develop conclusions

D. All of the mentioned above

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4

Amongst which of the following is not a descriptive statistic?

A. t-test

B. mean

C. standard deviation

D. range

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4

Amongst which of the following is / are true with reference to predictive modeling,

A. A tool used in predictive analytics

B. A process that uses data mining and statistics to develop models

C. Examine current and historical datasets for underlying patterns

D. All of the mentioned above

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4

Data interpretation refers -

A. Process of attaching meaning to the data

B. Convert text into insightful information

C. Effective conclusion

D. All of the mentioned above

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4

The _______ is the default partitioned in Hadoop, and it offers a method called getPartition that allows us to partition data.

A. HashPartitioner

B. Map function

C. Reduce function

D. All of the mentioned above

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4

Amongst which of the following is / are the applications of Predictive Analytics,

A. Translating voice to text for mobile phone messaging

B. Investment portfolio development

C. Weather forecasts

D. All of the mentioned above