SaaS enables users to access hosted applications managed by the provider, with only minor configuration by the customer. Reference: [CCSK Study Guide, Domain 1 - Service Models]

In the context of Function as a Service (FaaS), trigger events are primarily defined in addition to the functions themselves. FaaS allows you to run individual functions in response to events, such as HTTP requests, file uploads, database changes, or messages in a queue. These trigger events initiate the execution of the serverless function, making them a core part of FaaS architecture.
Data storage is not directly defined by FaaS, as storage is typically managed separately (e.g., cloud storage or databases). Network configurations are not the main focus of FaaS, since cloud providers manage the underlying network infrastructure. User permissions may be relevant but are typically handled through identity and access management (IAM), not directly tied to the definition of a FaaS function.

Effective cloud governance focuses on managing and overseeing cloud resources to ensure that security, compliance, and business objectives are met. Key aspects include:
Decision making: Establishing clear processes for how decisions are made regarding cloud resource usage, security measures, and compliance strategies.
Prioritization: Ensuring that critical security and compliance risks are prioritized and addressed first.
Monitoring: Continuously monitoring cloud environments for security threats, performance issues, and compliance violations.
Transparency: Ensuring that governance activities are visible to stakeholders, enabling accountability and making it easier to demonstrate compliance with laws, regulations, and internal policies.
These aspects help organizations maintain control over their cloud environments while ensuring they meet security and regulatory requirements.

Serverless functions are designed to run in isolated, ephemeral environments, meaning that each execution is independent and temporary. These functions are typically event-driven and executed on-demand, without the need for pre-allocated server resources. Once the function finishes executing, the environment is discarded, making it highly efficient and scalable. This architecture abstracts away infrastructure management, allowing developers to focus on the code itself.