Data Science - Big data Test
Created on 1st November 2024
Grade level: Higher Educationth grade
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14 Questions
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Questions (14)
1. What is the primary purpose of Big Data in data science?
To analyze large volumes of data for insights.
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2. Which of the following is NOT a characteristic of Big Data?
Simplicity
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3. What is the term used for the process of cleaning and organizing raw data?
Data Wrangling
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4. Which framework is commonly used for processing large datasets in real-time?
Apache Spark
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5. What does the term 'NoSQL' refer to in the context of Big Data?
Non-relational databases that can handle large volumes of structured and unstructured data.
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6. Which of the following best describes 'machine learning' in data science?
A branch of artificial intelligence that uses statistical methods to enable machines to improve with experience.
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7. What is 'data visualization'?
The process of converting raw data into a visual context.
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8. In the context of Big Data, what does 'ETL' stand for?
Extract, Transform, Load
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9. Which of the following is a popular tool for data analysis and visualization?
Excel
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10. What is the main goal of predictive analytics?
To analyze historical data to make predictions about future events.
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11. Which algorithm is commonly used for classification tasks in data science?
Decision Trees
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12. What does 'data mining' refer to?
The practice of examining large datasets to uncover hidden patterns.
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13. Which of the following is a benefit of using cloud computing for Big Data?
Scalability and flexibility to handle varying workloads.
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14. What is the function of a data warehouse?
To store and manage large volumes of historical data for analysis.
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