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Explain the implementation of Big Data in Data Science Application

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FAZILAH BINTI SHER RAHMAN KM-Pensyarah

Malasia

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Froggy Jumps 3.5 (ii)Versión en línea Explain the implementation of Big Data in Data Science Application por FAZILAH BINTI SHER RAHMAN KM-Pensyarah 1 What is the main role of Big Data in Data Science? a To replace machine learning models b To provide large datasets for analysis and insights c To design computer hardware 2 Which technology is used for storing Big Data? a Hadoop b Microsoft Word c PowerPoint 3 Which process uses tools like TensorFlow and Pandas? a Data Deletion b Data Printing c Data Processing & Analysis 4 What is the purpose of predictive modeling? a To store data b To forecast future trends c To delete data 5 Which is an example of Big Data in finance? a Detecting Fraud b Writing Reports c Editing Video 6 An online shopping platform tracks customer clicks, searches, and purchases to recommend products. Which Big Data implementation is being used? a Data deletion b Pattern recognition & AI training c Hardware maintenance 7 A data scientist uses TensorFlow and Pandas to analyse a large dataset and extract insights. What process is being performed? a Data Processing & Analysis b Data Collection & Storage c Data Backup 8 A ride-hailing app adjusts prices instantly based on current demand and traffic conditions. Which Big Data implementation is applied? a Predictive Modeling b Real-Time Decision Making c Data Cleaning 9 A hospital uses patient data to predict the likelihood of diseases before symptoms become severe. What is this process called? a Data Storage b Data Integration c Predictive Modeling 10 A company struggles because their data comes from text, images, and videos from different platforms. What challenge are they facing? a Data Quality & Cleaning b Integration of Various Data Sources c Data Deletion 11 Why is Big Data important in Data Science? a It reduces the need for analysis b It provides large and complex data for better insights c It replaces all software tools

Froggy Jumps

3.5 (ii)Versión en línea

Explain the implementation of Big Data in Data Science Application

por FAZILAH BINTI SHER RAHMAN KM-Pensyarah

What is the main role of Big Data in Data Science?

To replace machine learning models

To provide large datasets for analysis and insights

To design computer hardware

Which technology is used for storing Big Data?

Hadoop

Microsoft Word

PowerPoint

Which process uses tools like TensorFlow and Pandas?

Data Deletion

Data Printing

Data Processing & Analysis

What is the purpose of predictive modeling?

To store data

To forecast future trends

To delete data

Which is an example of Big Data in finance?

Detecting Fraud

Writing Reports

Editing Video

An online shopping platform tracks customer clicks, searches, and purchases to recommend products. Which Big Data implementation is being used?

Data deletion

Pattern recognition & AI training

Hardware maintenance

A data scientist uses TensorFlow and Pandas to analyse a large dataset and extract insights. What process is being performed?

Data Processing & Analysis

Data Collection & Storage

Data Backup

A ride-hailing app adjusts prices instantly based on current demand and traffic conditions. Which Big Data implementation is applied?

Predictive Modeling

Real-Time Decision Making

Data Cleaning

A hospital uses patient data to predict the likelihood of diseases before symptoms become severe. What is this process called?

Data Storage

Data Integration

Predictive Modeling

A company struggles because their data comes from text, images, and videos from different platforms. What challenge are they facing?

Data Quality & Cleaning

Integration of Various Data Sources

Data Deletion

Why is Big Data important in Data Science?

It reduces the need for analysis

It provides large and complex data for better insights

It replaces all software tools

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3.5 (ii)Versión en línea

por FAZILAH BINTI SHER RAHMAN KM-Pensyarah

What is the main role of Big Data in Data Science?

Which technology is used for storing Big Data?

Which process uses tools like TensorFlow and Pandas?

What is the purpose of predictive modeling?

Which is an example of Big Data in finance?

An online shopping platform tracks customer clicks, searches, and purchases to recommend products. Which Big Data implementation is being used?

A data scientist uses TensorFlow and Pandas to analyse a large dataset and extract insights. What process is being performed?

A ride-hailing app adjusts prices instantly based on current demand and traffic conditions. Which Big Data implementation is applied?

A hospital uses patient data to predict the likelihood of diseases before symptoms become severe. What is this process called?

A company struggles because their data comes from text, images, and videos from different platforms. What challenge are they facing?

Why is Big Data important in Data Science?

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