The type of middleware that assists in the communication between different applications, possibly running on different platforms, is called ________.
- Authentication Middleware
- Authorization Middleware
- Integration Middleware
- Management Middleware
Integration Middleware facilitates the exchange of data and communication between various applications, aiding in interoperability.
For a Google Cloud Function to interact with other Google Cloud services within the same project, which of the following should be considered?
- Billing considerations
- External data sources
- IAM permissions
- Network latency
IAM permissions are crucial for defining access and permissions within Google Cloud, ensuring secure interaction between services within the same project.
Azure's platform-as-a-service (PaaS) offering for web hosting is called:
- Azure App Service
- Azure Functions
- Azure Virtual Machines
- Azure Web Apps
Azure App Service is a fully managed PaaS offering in Azure designed for hosting web applications, making it a suitable choice for web hosting.
Which cloud model can be hosted both on-premises and off-premises?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
A Hybrid Cloud combines aspects of both on-premises and off-premises hosting, providing flexibility and scalability by integrating public and private cloud resources.
Companies that are looking to maximize the benefits of cloud capabilities like elasticity, managed services, and serverless components would most likely employ the ________ migration strategy.
- Rebuilding
- Refactoring
- Rehosting
- Replatforming
The blank should be filled with "Rebuilding." Rebuilding is the strategy where applications are redesigned or redeveloped to take full advantage of cloud-native capabilities, making it suitable for maximizing cloud benefits.
A system that restricts access to resources based on continuous verification is known as ________.
- Authentication
- Authorization
- Encryption
- Firewall
An "Authorization" system verifies access rights continuously to ensure that only authorized users can access resources, maintaining security.
A company wants to set up a testing environment where they can run multiple versions of their software on different OS platforms without investing in new hardware. Which type of virtualization would best serve their needs?
- Client-Side Virtualization
- Container-based Virtualization
- Hosted Virtualization
- Hypervisor-based Virtualization
Hypervisor-based virtualization allows running multiple virtual machines (VMs) on a single physical server, enabling the company to test various OS platforms without new hardware.
A startup wants to deploy a collaboration tool for its remote workforce without any upfront investment in infrastructure or software licenses. Which cloud service model would be most suitable for this requirement?
- FaaS (Function as a Service)
- IaaS (Infrastructure as a Service)
- PaaS (Platform as a Service)
- SaaS (Software as a Service)
The most suitable cloud service model for the startup's requirement is SaaS. SaaS applications are hosted in the cloud and accessible on a subscription basis, eliminating the need for infrastructure investment. It's an ideal choice for cost-effectively providing collaboration tools.
Which of the following is NOT a requirement under GDPR for data processors and controllers?
- Appointment of a Data Protection Officer
- Data backup and retention policies
- Data breach notification
- Data encryption at rest
GDPR, the General Data Protection Regulation, does not explicitly require data backup and retention policies. However, it emphasizes data protection, breach notification, and the appointment of a Data Protection Officer.
In the context of ML services, cloud providers often offer ________ to help developers without in-depth machine learning knowledge build models.
- AutoML
- Blockchain services
- Container orchestration
- GPU instances
AutoML refers to Automated Machine Learning, a service offered by cloud providers that automates the process of building machine learning models, making it accessible to developers with limited ML expertise.