Chapter 1

1. True
2. Integration, collaboration, configuration management
3. Continuous Integration, Continuous Delivery (sometimes Continuous Deployment)
4. Deployment failure detection time

Chapter 2

1. False. Business benefits – and with that the business case – are an important asset of demand management.
2. Static analysis
3. Development – Test – Acceptance – Production

Chapter 3

1. Test of separate components
2. Boundary value analysis
3. Definition of Done
4. True

Chapter 4

1. Refactor
2. AKS and EKS
3. BIA

Chapter 5

1. Toil
2. Time to Detect and Time to Repair
3. The consequences of the risk are transferred, for instance to an insurance company.

Chapter 6

1. These components must be part of the technology architecture:
   • Production scheduling/monitoring
   • System monitoring
   • Performance monitoring
   • Network monitoring
   • Event management (incidents, problems, changes)
2. The four value streams that IT4IT defines for IT delivery are as follows:
   • Plan: strategy to portfolio
   • Build: requirement to deploy
   • Deliver: requirement to fulfill
   • Run: detect to correct
3. Microservices
4. Level 3: proactive

Chapter 7

1. Empathy
2. CodeBuild, CodePipeline, and CodeDeploy
3. Mean time to acknowledge

Chapter 8

1. The presentation tier has two main functions. First, it helps the user to put in the request in a comprehensible way. Once the request has been processed, the response is presented in this tier.
2. Anomaly detection
3. Engagement data
4. True

Chapter 9

1. Reducing TCO/cost reduction by, for example, moving systems and data to other platforms
2. Kubernetes
3. The possible outcomes/results of AI-enabled DevOps, specifically for the improvement of code:
   • Identifying missing code
   • Detecting badly written code
   • Detecting unnecessary code
   • Detecting expected and/or required missing dependencies

Chapter 10

1. Auto-healing
2. Deduction
3. True

Chapter 11

1. The four principles are as follows:
   • Prevention
   • Detection
   • Correction
   • Direction
2. Docker Notary
3. False

Chapter 12

1. SCA will detect dependencies in code.
2. Linting.
3. CloudFormation.
4. Elastic Kubernetes Services (EKS) in AWS, Azure Kubernetes Services (AKS) in Azure, and Google Kubernetes Engine (GKE) in GCP.

Chapter 13

1. ISO 27017.
2. Container administration command and deploy the container.
3. False – it's a generic control to set the latest version of Docker.

Chapter 14

1. True
2. SAST tools that scan raw source code and tools that scan decompiled source code from libraries
3. Collect, analyze, alert

Chapter 15

1. Least privilege
2. Sidecars
3. AWS App Mesh

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