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About this document
- Pages
- 8 pages
- Price
- $8 one-time, yours to keep
- Membership
- Included in every plan
- Format
- Subject
- Business, Computer Science
- Module
- Week 3
This document contains multiple-choice questions on computer networks and cloud computing. It covers different types of networks, broadband technologies, and cloud computing concepts. It is useful for exam preparation for Week 3.
What's inside
- Types of computer networks
- Broadband technologies
- Cloud computing concepts
- Legacy IT systems and cloud computing
- Web services and protocols
- Cloud computing security issues
Who it is for: Students preparing for a Week 3 exam on Computer Science and Business. (Undergraduate)
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Summary
Computer networks and cloud computing are key topics. Students learn about different types of networks and cloud computing issues.
Types of Networks
Different types of computer networks are described. Students place them in size order. Network roles in organizations are discussed.
Cloud computing issues
Legacy IT systems and cloud computing are compared. Security and legal issues in cloud computing are covered.
Web services and protocols
Web services and protocols are explained. Students identify web service protocols and describe data exchange.
Cloud computing and traditional IT
Cloud computing and traditional IT are compared. Students identify statements about cloud computing and traditional IT.
Key terms
- LAN
- A network that connects computing devices within the same building.
- Backbone network
- A high-speed network that connects a firm’s LANs and WANs.
- Broadband technologies
- Technologies that include DSL and cable.
- Least privilege
- A concept associated with security.
- Safe harbors
- Address concerns about the regulatory and legal environment.
- Web services
- Applications delivered over the internet.
Questions this document helps with
- What are the different types of computer networks?
- What are the security issues in cloud computing?
- What are web services and their protocols?
Summary written with AI from the document's text.
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