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Section 1
1.1 Understand cloud computing concepts
Preview
Preview: 1. Cloud Concepts, Architecture and Design (17%)
Preview includes- 4 of 4 lesson topics
- 1 overview segment
- 3 core concepts
- 2 exam tips
Lesson Topics
- Cloud computing definitions
- Cloud computing roles and responsibilities: customer, CSP, partner, broker, regulator
- Essential characteristics: on-demand self-service, broad network access, multi-tenancy, rapid elasticity/scalability, resource pooling, measured service
- Building blocks: virtualization, storage, networking, databases, orchestration
Overview
Cloud computing is a service-delivery model in which configurable resources are provisioned and released rapidly, typically through automation and measured consumption.
Core Concepts
- NIST's core service characteristics explain why cloud differs operationally from traditional hosting: self-service, broad access, pooling/multi-tenancy, elasticity, and measured use.
- Rapid elasticity concerns scaling capacity with demand; measured service concerns metering and accountability for consumption.
- Resource pooling enables shared provider resources to serve multiple consumers, usually with location independence and tenant isolation.
Exam Tips
- Answer from the cloud customer's risk and accountability perspective unless the scenario explicitly assigns a different role.
- Prefer the control or decision that addresses the stated requirement most directly while preserving least privilege, evidence, resilience, and shared-responsibility clarity.
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Section 2
1.2 Describe cloud reference architecture
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Section 3
1.3 Understand security concepts relevant to cloud computing
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Section 4
1.4 Understand design principles of secure cloud computing
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Section 5
1.5 Evaluate Cloud Service Providers (CSP)
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Section 6
1.6 Comprehend Artificial Intelligence (AI)/Machine Learning (ML)
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Section 7
2.1 Describe cloud data concepts
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Section 8
2.2 Design and implement cloud data storage architectures
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Section 9
2.3 Design and apply data security technologies and strategies
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Section 10
2.4 Implement data discovery
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Section 11
2.5 Plan and implement data classification
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Section 12
2.6 Design and implement Information Rights Management (IRM)
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Section 13
2.7 Plan and implement data retention, deletion, and archiving policies
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Section 14
2.8 Design and implement auditability, traceability, and accountability of data events
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Section 15
2.9 Comprehend data protection of Artificial Intelligence (AI) and Machine Learning (ML) data
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Section 16
3.1 Comprehend cloud infrastructure and platform components
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Section 17
3.2 Design a secure data center
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Section 18
3.3 Analyze risks associated with cloud infrastructure and platforms
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Section 19
3.4 Plan and implementation of security controls
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Section 20
3.5 Plan business continuity (BC) and disaster recovery (DR)
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Section 21
4.1 Advocate training and awareness for application security
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Section 22
4.2 Describe the Secure Software Development Life Cycle (SDLC) process
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Section 23
4.3 Apply the Secure Software Development Life Cycle (SDLC)
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Section 24
4.4 Apply cloud software assurance and validation
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Section 25
4.5 Use verified secure software
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Section 26
4.6 Comprehend and apply the specifics of cloud application architecture
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Section 27
4.7 Design appropriate Identity and Access Management (IAM) solutions
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Section 28
5.1 Build and implement physical and logical infrastructure for cloud environment
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Section 29
5.2 Operate and maintain physical and logical infrastructure for cloud environment
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Section 30
5.3 Implement operational controls and standards
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Section 31
5.4 Support digital forensics
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Section 32
5.5 Manage communication with relevant parties
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Section 33
5.6 Manage security operations
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Section 34
6.1 Articulate legal requirements and unique risks within the cloud environment
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Section 35
6.2 Understand privacy issues
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Section 36
6.3 Understand audit process, methodologies, and required adaptations for a cloud environment
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Section 37
6.4 Understand implications of cloud to enterprise risk management
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Section 38
6.5 Understand outsourcing and cloud contract design
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