Podcast
Questions and Answers
What is the primary goal of green computing?
What is the primary goal of green computing?
- Both A and C (correct)
- Recycle non-functional products
- Maximize energy efficiency
- Increase hazardous materials
What does IoT stand for?
What does IoT stand for?
Internet of Things
Which of the following is a characteristic of cloud computing?
Which of the following is a characteristic of cloud computing?
- Delivery of services over the internet (correct)
- Limited storage capacity
- Requires physical servers
- Non-scalable services
Data analytics can only be used in scientific research.
Data analytics can only be used in scientific research.
What does AI stand for?
What does AI stand for?
Define Machine Learning.
Define Machine Learning.
What is big data characterized by?
What is big data characterized by?
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Study Notes
Green Computing
- Focuses on environmentally sustainable computing practices.
- Aims to reduce hazardous materials usage.
- Prioritizes energy efficiency throughout product lifetimes.
- Emphasizes recycling and biodegrading non-functional products and waste.
- Applies to all system classes from handheld devices to data centers.
Internet of Things (IoT)
- Connects physical devices, vehicles, and appliances through sensors and connectivity.
- Enables devices to collect and exchange data.
- Enhances integration of the physical world into computer systems.
- Promotes efficiency improvements and economic benefits.
Cloud Computing
- Provides computing services over the internet, including servers and storage.
- Facilitates access to databases, networking, software, and data analytics.
- Offers scalable resources to businesses and consumers.
Data Analytics (DA)
- Involves examining data sets to derive conclusions and insights.
- Utilizes specialized technologies and software for analysis.
- Supports business decision-making in commercial industries.
- Assists scientists in verifying hypotheses and theories.
- Covers various data formats, emphasizing IT's role in data processing and analysis.
Artificial Intelligence (AI)
- Represents machine intelligence as opposed to human or animal intelligence.
- AI research explores intelligent agents that perceive their environment.
- Focuses on maximizing goal achievement through automated actions.
Machine Learning (ML)
- Investigates algorithms and statistical models for task performance.
- Enables systems to learn from data without explicit programming.
- Considered a subset of artificial intelligence.
Big Data
- Refers to vast and complex data sets beyond the capacity of traditional processing applications.
- Necessitates specialized tools and techniques for adequate data management and analysis.
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