Data Science Multiple Choice Questions (MCQ) Online Test #3

Data Science MCQ #21:

What role does data science play in cloud computing?

By analyzing large datasets and leveraging cloud infrastructure for scalable data processing and storage

By increasing hardware capacity

By managing network configurations

By designing user interfaces

By maintaining database backups

About Data Science Multiple Choice Question (MCQ) #21:
This ICT Multiple Choice Question (ICT MCQ) #21 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the role of data science in cloud computing.

Data Science MCQ #22:

What role does data science play in analyzing educational data?

By automating classroom activities

By designing educational content

By increasing physical classroom space

By managing school administrative tasks

By using analytical models to improve student performance, optimize resources, and support educational strategies

About Data Science Multiple Choice Question (MCQ) #22:
This ICT Multiple Choice Question (ICT MCQ) #22 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the role of data science in analyzing educational data.

Data Science MCQ #23:

What is the main purpose of data visualization in the data science process?

To represent data in a graphical format to uncover patterns

To develop machine learning models

To collect raw data

To clean and preprocess data

To store data in databases

About Data Science Multiple Choice Question (MCQ) #23:
This ICT Multiple Choice Question (ICT MCQ) #23 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses the main purpose of data visualization in the data science process.

Data Science MCQ #24:

Which tool is known for creating interactive data visualizations and dashboards?

Python

Jupyter Notebooks

Tableau

Seaborn

About Data Science Multiple Choice Question (MCQ) #24:
This ICT Multiple Choice Question (ICT MCQ) #24 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a tool known for creating interactive data visualizations and dashboards.

Data Science MCQ #25:

What does a p-value represent in hypothesis testing?

The probability of rejecting a true null hypothesis

The probability of accepting a false null hypothesis

The probability of a type II error

The probability of observing data at least as extreme as the observed data, assuming the null hypothesis is true

The standard deviation of the sample

About Data Science Multiple Choice Question (MCQ) #25:
This ICT Multiple Choice Question (ICT MCQ) #25 focuses on Data Science within the "Advanced ICT MCQ" category. This question explains what a p-value represents in hypothesis testing.

Data Science MCQ #26:

What is the role of encoding in feature engineering?

To reduce the dimensionality of data

To normalize the data

To handle missing values in the dataset

To convert categorical variables into numerical format

To perform feature selection

About Data Science Multiple Choice Question (MCQ) #26:
This ICT Multiple Choice Question (ICT MCQ) #26 focuses on Data Science within the "Advanced ICT MCQ" category. This question explains the role of encoding in feature engineering.

Data Science MCQ #27:

What is a primary feature of Random Forest classifiers?

They use a single decision tree to make predictions

They use linear boundaries to classify data

They are specifically designed for regression tasks

They perform clustering on the data

They aggregate predictions from multiple decision trees to improve accuracy

About Data Science Multiple Choice Question (MCQ) #27:
This ICT Multiple Choice Question (ICT MCQ) #27 focuses on Data Science within the "Advanced ICT MCQ" category. This question highlights a primary feature of Random Forest classifiers.

Data Science MCQ #28:

What is a key feature of NoSQL databases in the context of Big Data Analytics?

They support flexible schemas and are designed for large-scale data storage and retrieval

They are optimized for relational data and complex queries

They provide a structured schema for data storage

They are primarily used for small-scale data processing

They enforce strict ACID (Atomicity, Consistency, Isolation, Durability) properties

About Data Science Multiple Choice Question (MCQ) #28:
This ICT Multiple Choice Question (ICT MCQ) #28 focuses on Data Science within the "Advanced ICT MCQ" category. This question highlights a key feature of NoSQL databases in the context of Big Data Analytics.

Data Science MCQ #29:

How can data science improve investment strategies in finance?

By using predictive analytics to forecast market trends and optimize investment decisions

By automating routine administrative tasks

By creating financial reports manually

By managing customer inquiries about investment products

By focusing on traditional investment methods

About Data Science Multiple Choice Question (MCQ) #29:
This ICT Multiple Choice Question (ICT MCQ) #29 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses how data science can improve investment strategies in finance.

Data Science MCQ #30:

How does data science enhance predictive maintenance in IoT systems?

By extending device warranties

By increasing the number of manual inspections

By reducing the number of maintenance checks

By analyzing historical and real-time data to predict and prevent equipment failures

By delaying device updates

About Data Science Multiple Choice Question (MCQ) #30:
This ICT Multiple Choice Question (ICT MCQ) #30 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science enhances predictive maintenance in IoT systems.

This page was last modified on Dec 30, 2024 by ICT MCQ Hub.

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Data Science Multiple Choice Questions (MCQ) Online Test #3

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