A company has a legacy application that is tightly coupled with its current database. They want to migrate to the cloud and modernize the application for better scalability and performance. Which migration strategy should they consider?
- Rearchitecting (rebuilding)
- Refactoring (re-architecting)
- Rehosting (lift-and-shift)
- Retiring or Decommissioning
Refactoring, or re-architecting, is the most suitable strategy when migrating to the cloud while modernizing an application. It involves making application changes to optimize for the cloud environment, ensuring scalability and performance.
Which of the following is a primary function of middleware in a cloud computing environment?
- Installing applications
- Load balancing
- Managing user data
- Server hardware maintenance
A primary function of middleware in cloud computing is load balancing, which evenly distributes network traffic to optimize resource utilization.
In a microservices architecture, the pattern that isolates failures and ensures that a failure in one service doesn't impact others is called the ________ pattern.
- Adapter
- Circuit Breaker
- Observer
- Singleton
The Circuit Breaker pattern is used to isolate failures in a microservices architecture. It prevents a single service failure from cascading through the system.
Continuous monitoring in cloud environments is essential for:
- Detecting and mitigating threats
- Ensuring high availability of services
- Monitoring competitors' cloud usage
- Reducing cloud infrastructure costs
Continuous monitoring in the cloud is crucial for detecting and mitigating security threats, ensuring data protection, and maintaining compliance with regulations. It's not primarily about cost reduction or monitoring competitors.
In which migration strategy might an organization choose to break a monolithic application into microservices?
- Lift and Shift
- Rearchitect/Rebuild
- Refactor/Re-architect
- Rehost/Replatform
The "Refactor/Re-architect" strategy involves restructuring the existing application to make it more suitable for the cloud. Breaking a monolithic app into microservices falls under this category.
The principle that suggests that any code commit that passes all stages of the CI/CD process is ready for deployment to production is known as ________.
- Continuous Approval (CA)
- Continuous Deployment (CD)
- Continuous Integration (CI)
- Continuous Verification (CV)
Continuous Deployment (CD) is the principle where any code that passes all stages in the CI/CD pipeline is automatically deployed to production, promoting a fast and reliable release process.
Phishing attacks primarily target which aspect of cloud accounts for hijacking?
- Application Code
- Cloud Configuration
- Server Hardware
- User Credentials
Phishing attacks primarily target user credentials. Attackers use deceptive tactics to trick users into revealing their login information, which can then be used for unauthorized access.
A primary distinction between Type-1 and Type-2 hypervisors is:
- The ability to run multiple virtual machines
- The need for virtualization support in hardware
- The presence of a host OS
- The use of hardware
Type-1 hypervisors run directly on the hardware without the need for a host OS, while Type-2 hypervisors run on top of an existing OS. This is a fundamental difference in their architecture.
An e-commerce company during the holiday season wants to temporarily augment its existing private cloud capacity with additional resources from an external cloud provider. Which combined cloud model are they considering?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
A hybrid cloud combines private and public cloud resources. It allows the e-commerce company to extend its private cloud with public cloud resources temporarily, meeting increased demand during the holiday season.
Data lakes allow users to:
- Centralize data access
- Store and analyze structured data
- Store only unstructured data
- Use only predefined schemas
Data lakes allow users to centralize data access, storing both structured and unstructured data. They offer flexibility in terms of data types and don't require predefined schemas, making them suitable for big data storage and analytics.