Google Compute Engine is a scalable, high-performance infrastructure-as-a-service (IaaS) offering from Google Cloud that allows users to run virtual machines (VMs) on Google’s global network of data centers. It provides flexible compute resources, enabling developers and businesses to deploy and manage virtual servers with customizable configurations for CPU, memory, storage, and networking.
Key Features:
– Virtual Machines: Create and manage VMs with a wide range of machine types, from general-purpose to specialized options like GPUs for machine learning or high-memory instances for databases.
– Scalability: Automatically scale resources up or down based on demand using autoscaling groups, ensuring cost efficiency and performance.
– Global Infrastructure: Leverage Google’s low-latency network across multiple regions and zones for high availability and disaster recovery.
– Integration: Seamlessly integrates with other Google Cloud services, such as Cloud Storage, BigQuery, and Kubernetes Engine, for a comprehensive cloud ecosystem.
– Security: Includes built-in features like firewall rules, identity and access management (IAM), and encryption to protect data and workloads.
– Custom Images: Use pre-built images or create custom ones from popular operating systems (e.g., Linux or Windows) to tailor environments to specific needs.
Benefits:
– Cost-Effective: Pay only for the resources you use with per-second billing and sustained use discounts, reducing overhead compared to traditional on-premises setups.
– Performance: Benefit from Google’s advanced hardware, including Intel and AMD processors, and features like live migration to minimize downtime.
– Ease of Use: Managed through the Google Cloud Console, CLI, or APIs, with tools for automation via Terraform or Ansible.
– Innovation: Supports modern workloads like container orchestration with Google Kubernetes Engine and AI/ML applications via TPUs.
How It Works:
1. Provisioning: Select a machine type, zone, and disk configuration via the Google Cloud Console or SDK.
2. Deployment: Upload or create VM images, then launch instances with scripts for initialization (e.g., using startup scripts).
3. Management: Monitor performance with Cloud Monitoring, adjust resources as needed, and automate tasks with Cloud Scheduler or workflows.
4. Termination: Delete or stop instances when no longer needed to avoid unnecessary costs.
Google Compute Engine is ideal for applications requiring high compute power, such as web hosting, data processing, gaming servers, or scientific simulations, making it a foundational tool for cloud-native development.
Table of Contents
- Part 1: OnlineExamMaker AI quiz generator – S][ave time and efforts
- Part 2: 20 Google Compute Engine Quiz Questions & Answers
- Part 3: Try OnlineExamMaker AI Question Generator to Create Quiz Questions
Part 1: OnlineExamMaker AI quiz generator – S][ave time and efforts
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Part 2: 20 Google Compute Engine Quiz Questions & Answers
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1. Question: What is Google Compute Engine primarily used for?
Options:
A. Managing databases
B. Running virtual machines
C. Storing files
D. Building web applications
Answer: B
Explanation: Google Compute Engine is a service that provides virtual machines (VMs) on Google’s infrastructure, allowing users to launch and manage compute resources for various workloads.
2. Question: Which of the following is a key benefit of using Google Compute Engine?
Options:
A. Automatic scaling of storage
B. High availability and global scale
C. Built-in machine learning models
D. Real-time data analytics
Answer: B
Explanation: Google Compute Engine offers high availability through features like live migration and global scale, enabling reliable performance across regions.
3. Question: What type of disk is recommended for high-performance applications in Google Compute Engine?
Options:
A. Standard persistent disks
B. SSD persistent disks
C. Local SSDs
D. Balanced persistent disks
Answer: C
Explanation: Local SSDs provide low-latency and high-throughput storage directly attached to the VM, making them ideal for high-performance workloads.
4. Question: How does Google Compute Engine handle instance failures?
Options:
A. It automatically restarts the instance
B. It requires manual intervention
C. It migrates the instance to another host
D. It deletes the instance permanently
Answer: C
Explanation: Google Compute Engine uses live migration to move instances between hosts without downtime, ensuring continuity in case of hardware failures.
5. Question: What is the purpose of machine types in Google Compute Engine?
Options:
A. To define storage options
B. To specify the CPU, memory, and other resources for VMs
C. To configure network settings
D. To set up autoscaling rules
Answer: B
Explanation: Machine types allow users to select predefined configurations of vCPUs, memory, and other resources to match the needs of their applications.
6. Question: Which command-line tool is commonly used to manage Google Compute Engine resources?
Options:
A. gcloud
B. gsutil
C. kubectl
D. terraform
Answer: A
Explanation: The gcloud command-line tool provides a way to interact with Google Cloud services, including creating, managing, and deleting Compute Engine instances.
7. Question: What is autoscaling in Google Compute Engine?
Options:
A. Manually adjusting instance sizes
B. Automatically adding or removing instances based on demand
C. Scaling storage automatically
D. Updating software on instances
Answer: B
Explanation: Autoscaling dynamically adjusts the number of instances in a group to maintain performance and handle varying workloads efficiently.
8. Question: Which networking feature in Google Compute Engine allows instances to communicate securely?
Options:
A. Virtual Private Cloud (VPC)
B. External IP addresses
C. Load balancers
D. Firewalls
Answer: A
Explanation: VPC enables users to create isolated virtual networks for their instances, ensuring secure and controlled communication.
9. Question: What is the maximum number of vCPUs available for a single Compute Engine instance?
Options:
A. 16
B. 96
C. 256
D. It varies by machine type
Answer: D
Explanation: The number of vCPUs depends on the machine type selected, with some custom types supporting up to 416 or more, based on availability.
10. Question: How can you ensure data persistence in Google Compute Engine?
Options:
A. Using ephemeral disks
B. Attaching persistent disks
C. Relying on instance snapshots
D. Configuring local SSDs
Answer: B
Explanation: Persistent disks provide durable storage that persists independently of the instance lifecycle, ensuring data is not lost when instances are stopped or deleted.
11. Question: What is the role of snapshots in Google Compute Engine?
Options:
A. To create backups of instances
B. To take real-time performance metrics
C. To clone machine types
D. To manage network traffic
Answer: A
Explanation: Snapshots are point-in-time backups of persistent disks, allowing users to restore data and recover from failures.
12. Question: Which pricing model in Google Compute Engine charges based on actual usage?
Options:
A. Preemptible VMs
B. Sustained use discounts
C. Per-second billing
D. Committed use discounts
Answer: C
Explanation: Per-second billing charges users only for the exact amount of resources used, making it cost-effective for variable workloads.
13. Question: What does preemptible VM mean in Google Compute Engine?
Options:
A. VMs that are always available
B. Low-cost VMs that can be terminated by Google at any time
C. VMs with guaranteed uptime
D. VMs optimized for database tasks
Answer: B
Explanation: Preemptible VMs offer significant cost savings but can be stopped if Google needs the resources, making them suitable for fault-tolerant workloads.
14. Question: How do you access the Google Cloud Console for managing Compute Engine?
Options:
A. Through the gcloud tool only
B. Via a web-based interface
C. Using third-party APIs
D. By SSH directly
Answer: B
Explanation: The Google Cloud Console is a web-based interface that provides a graphical way to manage Compute Engine resources, instances, and settings.
15. Question: What is the default firewall rule in Google Compute Engine?
Options:
A. Allow all incoming traffic
B. Deny all incoming traffic
C. Allow ICMP and RDP/SSH
D. Block external access
Answer: C
Explanation: By default, Google Compute Engine allows ICMP (ping) and basic remote access protocols like RDP and SSH, while other traffic requires explicit rules.
16. Question: Which feature allows you to run containers directly on Compute Engine?
Options:
A. Kubernetes Engine
B. Compute Engine’s container-optimized OS
C. App Engine
D. Cloud Functions
Answer: B
Explanation: Compute Engine offers a container-optimized OS image that simplifies running Docker containers on VMs.
17. Question: What is the purpose of instance templates in Google Compute Engine?
Options:
A. To create custom machine types
B. To define a blueprint for managed instance groups
C. To configure network settings only
D. To handle billing
Answer: B
Explanation: Instance templates specify the configuration for instances in a managed instance group, enabling easy scaling and management.
18. Question: How can you monitor Compute Engine instances?
Options:
A. Using Google Cloud Monitoring
B. Through external tools only
C. Via the gcloud command
D. By checking logs manually
Answer: A
Explanation: Google Cloud Monitoring provides metrics, logs, and alerts for Compute Engine instances, helping users track performance and issues.
19. Question: What is the difference between zonal and regional persistent disks?
Options:
A. Zonal disks are cheaper but less durable
B. Regional disks replicate across zones for higher availability
C. Zonal disks are only for testing
D. Regional disks are faster
Answer: B
Explanation: Regional persistent disks are stored in multiple zones within a region, providing redundancy and protection against zonal failures.
20. Question: Which authentication method is recommended for accessing Compute Engine instances?
Options:
A. Username and password
B. OAuth 2.0 tokens
C. SSH keys
D. API keys
Answer: C
Explanation: SSH keys provide secure access to instances, reducing the risks associated with password-based authentication.
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Part 3: Try OnlineExamMaker AI Question Generator to Create Quiz Questions
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