Google Cloud's _______ feature enables secure communication between Virtual Private Cloud (VPC) networks and on-premises networks.
- Cloud Interconnect
- Cloud VPN
- VPC Peering
- VPC Flow Logs
Understanding the connectivity options available in Google Cloud, such as Cloud Interconnect, is essential for designing hybrid cloud architectures that seamlessly integrate on-premises infrastructure with cloud resources.
_______ is a Google Cloud feature that allows users to optimize network performance based on their requirements.
- Network Service Tiers
- Network Load Balancer
- Network Intelligence Center
- Network Telemetry
Network optimization is crucial for ensuring efficient and reliable operation of applications and services in the cloud. Understanding the features available for optimizing network performance, such as Google Cloud's Network Service Tiers, empowers users to make informed decisions about their network architecture and configuration.
How does Cloud Datastore handle scalability and performance for large datasets?
- Automatic Sharding
- Manual Partitioning
- Compression Techniques
- Vertical Scaling
Understanding how Cloud Datastore achieves scalability and performance for large datasets is crucial for designing efficient and robust data storage solutions in cloud environments. Knowing the mechanisms involved, such as automatic sharding, helps ensure optimal performance and resource utilization.
What is the difference between Pub/Sub and traditional message queues?
- Pub/Sub decouples senders and receivers, allowing for more flexibility and scalability.
- Traditional message queues are more scalable and reliable compared to Pub/Sub.
- Pub/Sub is tightly coupled with specific message brokers, while traditional message queues offer more flexibility in choosing messaging infrastructure.
- Pub/Sub is designed for point-to-point communication, while traditional message queues support a pub/sub model.
Understanding the differences between Pub/Sub and traditional message queues is essential for choosing the appropriate messaging solution for various use cases. Knowing the advantages and limitations of each approach helps in designing resilient and scalable systems on Google Cloud Platform.
Scenario: A company wants to process data from a Google Cloud Pub/Sub topic in real-time. Which service would be the most appropriate for implementing this using serverless architecture?
- Cloud Functions
- Google Kubernetes Engine (GKE)
- Cloud Run
- Dataflow
Cloud Functions is the preferred choice for processing events from Pub/Sub topics in real-time using serverless architecture due to its simplicity, scalability, and minimal operational overhead. Understanding the appropriate use cases for different serverless services helps architects design efficient and cost-effective solutions.
GKE provides a managed environment for deploying, managing, and scaling containerized applications using _______.
- Kubernetes
- Docker
- OpenShift
- Terraform
Understanding that GKE leverages Kubernetes for managing containerized applications is essential for users to effectively utilize the platform's capabilities and integrate with the broader Kubernetes ecosystem.
What is the maximum duration for a single execution of a Cloud Function?
- 9 minutes and 30 seconds
- 5 minutes
- 15 minutes
- 1 hour
Knowing the maximum duration for a Cloud Function execution is crucial for designing and optimizing serverless applications to meet performance and scalability requirements.
How does Google Cloud Shell manage user authentication and access control?
- Integrates with Google Account
- Uses separate credentials for each session
- Requires manual token generation
- Employs third-party authentication services
Google Cloud Shell simplifies authentication and access control by integrating directly with your Google Account, ensuring secure and straightforward access to your cloud resources.
What security features does Cloud SQL provide to protect data at rest and in transit?
- Encryption at rest and SSL/TLS encryption for data in transit
- Role-based access control (RBAC) and network firewalls
- Intrusion Detection System (IDS) and Virtual Private Cloud (VPC)
- Data masking and tokenization
Understanding the security features of Cloud SQL is crucial for ensuring the protection of sensitive data stored in the cloud environment. Encryption at rest and SSL/TLS encryption are fundamental components of data security in transit and at rest, respectively.
Scenario: A DevOps team wants to centralize log management for multiple Google Cloud projects. Which approach should they consider using Stackdriver Logging?
- Create a single log bucket and export logs from each project to it
- Use separate log buckets for each project and manage them individually
- Use a third-party log management tool integrated with Stackdriver Logging
- Configure logging separately for each project without centralization
Centralizing log management by creating a single log bucket and exporting logs from multiple projects to it simplifies log analysis, enhances visibility, and improves operational efficiency for the DevOps team, facilitating effective monitoring and troubleshooting across projects.