_______ is a key feature of Cloud Deployment Manager that allows users to manage deployments as code.
- Infrastructure as Code
- Software Development Kit
- Container Orchestration
- Graphical User Interface
Infrastructure as Code (IaC) is a fundamental concept in modern cloud computing, allowing for automation, consistency, and scalability in infrastructure management.
In Google Cloud, which load balancer is suitable for distributing traffic globally across multiple regions?
- Global Load Balancer
- Regional Load Balancer
- Internal Load Balancer
- Network Load Balancer
Understanding the capabilities of different load balancers in Google Cloud is essential for designing resilient and efficient architectures that can serve users worldwide. Google Cloud's Global Load Balancer is a key component for achieving global scalability and high availability.
What is the primary purpose of interconnect and peering in cloud networking?
- Improving Network Performance
- Enhancing Network Security
- Reducing Cost
- Simplifying Network Management
Understanding the primary purpose of interconnect and peering in cloud networking is essential for designing and optimizing network architectures for performance and cost efficiency.
Which programming languages are supported by Google App Engine?
- Java, Python, Go, PHP
- C++, Ruby, Swift
- JavaScript, Perl, Kotlin
- Scala, Rust, TypeScript
Knowing which programming languages are supported by Google App Engine is essential for developers planning to build and deploy applications on this platform. It allows them to select the most suitable language based on their project requirements and familiarity.
Scenario: A developer needs to create a webhook that responds to HTTP requests by executing specific code. Which Google Cloud service should they use for this purpose, considering scalability and minimal operational overhead?
- Cloud Functions
- Cloud Run
- Compute Engine
- API Gateway
Cloud Functions is the recommended choice for creating webhooks that respond to HTTP requests with specific code execution due to its serverless nature, scalability, and ease of integration with other Google Cloud services. Understanding the appropriate use cases for different serverless services helps developers choose the right tool for the job.
What is the purpose of the Cloud Shell Editor in Google Cloud Shell?
- To edit files directly within the Google Cloud Shell environment
- To visualize cloud infrastructure
- To manage virtual machines
- To deploy applications
The Cloud Shell Editor allows users to edit files directly within the Google Cloud Shell environment, streamlining development workflows and reducing the need for additional tools.
Virtual machines allow users to run multiple _______ systems on a single physical server.
- operating
- network
- databases
- containers
Running multiple operating systems on a single physical server through virtual machines enhances resource utilization, isolation, and flexibility, making it a key concept in virtualization and cloud computing.
In Cloud CDN, what is the purpose of the origin server?
- To provide the original source of the content that gets cached and delivered by the CDN.
- To handle user authentication and authorization.
- To manage DNS and routing for content requests.
- To perform load balancing across different servers.
In a CDN architecture, the origin server is crucial as it holds the original content that is then cached and delivered by the CDN nodes to ensure efficient and quick access for users.
AI Platform enables users to _______ machine learning models.
- Train
- Deploy
- Monitor
- Visualize
Understanding the capabilities of AI Platform in training machine learning models is crucial for leveraging its full potential in building and refining predictive models for various applications.
In the context of virtual machines, what does "scaling" refer to?
- Adjusting resources
- Shutting down services
- Increasing storage capacity
- Monitoring performance
Scaling in the context of VMs refers to adjusting the resources, such as CPU and memory, allocated to a VM, to match the workload requirements, ensuring optimal performance and cost efficiency.