Reserved instances in cloud services primarily help in:
- Enhancing network speed and reliability
- Ensuring data confidentiality
- Reducing infrastructure costs
- Streamlining code deployment
Reserved instances in cloud services help reduce infrastructure costs by allowing users to commit to long-term usage of specific cloud resources, typically at a lower hourly rate compared to on-demand instances. This commitment ensures cost savings.
In Google Cloud Functions, the maximum execution time for a function is ________ minutes.
- 1
- 15
- 5
- 60
Google Cloud Functions have a maximum execution time of 60 minutes. This allows for longer-running tasks that may be necessary for certain applications.
Which of the following best describes an insider threat in the context of data security?
- A threat from employees
- A threat from external hackers
- A threat from natural disasters
- A threat from viruses
An insider threat in data security refers to threats originating from individuals within the organization, such as employees or contractors. These individuals have access to sensitive data and may misuse it intentionally or unintentionally.
In a scenario where an organization wants to quickly test a new application in a cost-effective manner without concerns for initial infrastructure investments, which cloud model is more appropriate?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
Public Cloud is the best choice for quickly testing new applications with minimal upfront costs. It provides scalable resources and doesn't require organizations to invest heavily in infrastructure. Private clouds are more suited for long-term, controlled environments.
Which cloud model often involves shared resources and benefits from economies of scale?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
Public Clouds are shared environments where resources are pooled, leading to economies of scale. They're accessible to the general public and often cost-effective.
A software development company is in need of a cloud service where they can develop, run, and manage applications without the complexity of building and maintaining the infrastructure. Which essential characteristic of cloud computing would address their requirement?
- Elasticity
- Redundancy
- Scalability
- Self-Service On-Demand
Self-Service On-Demand is a fundamental cloud characteristic that allows developers to provision resources as needed, removing the need for infrastructure management.
An organization is looking to consolidate their server infrastructure to optimize resource usage and reduce costs. By implementing which type of virtualization can they achieve this?
- Application Virtualization
- Network Virtualization
- Server Virtualization
- Storage Virtualization
Server virtualization is the ideal choice for consolidating server resources, enabling multiple VMs on a single physical server, optimizing resource usage, and reducing costs.
In a hybrid cloud model, the mechanism that ensures seamless data and application portability between private and public clouds is called ________.
- Cloud Federation
- Cloud Integration
- Cloud Interoperability
- Cloud Synchronization
Cloud Federation ensures that data and applications can move seamlessly between private and public clouds. It allows for unified management and data transfer between different cloud environments in a hybrid setup.
In which service model is the underlying server, storage, and network infrastructure managed by the cloud provider?
- Function as a Service (FaaS)
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
Infrastructure as a Service (IaaS) is the service model where the cloud provider manages the underlying infrastructure, including servers, storage, and networking. Users have control over the operating system, applications, and data, while the cloud provider handles the hardware and data center operations.
In Kubernetes, which component is responsible for scheduling pods onto nodes?
- Kube-Proxy
- Kubelet
- Kubernetes Controller Manager
- Kubernetes Scheduler
The Kubernetes Scheduler is responsible for deciding which nodes to run new pods on based on resource requirements, node availability, and various policies.