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.
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.
Which of the following is not a typical use case for Cloud DNS?
- Hosting a Website
- Internal DNS for VPC
- Load Balancing
- Email Routing
Recognizing the typical and atypical use cases for Cloud DNS helps beginners understand the specific roles and limitations of DNS within cloud infrastructure, ensuring appropriate application of this service.
What is the significance of latency distribution charts in Stackdriver Trace?
- Identifies outliers and bottlenecks
- Measures network throughput
- Tracks disk usage
- Monitors memory consumption
Latency distribution charts help developers understand the variability in request latencies, enabling them to identify and address performance issues effectively, ensuring optimal application performance.
In Cloud Datastore, what is an entity group used for?
- Transactional Consistency
- Data Encryption
- Indexing
- Data Replication
Understanding the role of entity groups in Cloud Datastore is essential for designing scalable and transactional applications that require consistency guarantees. Knowing how entity groups impact transactional behavior helps developers implement robust data management strategies.