How does Google Cloud ensure the reliability and availability of Cloud Billing APIs?
- Global Load Balancing
- Data Encryption
- Regular Backups
- Multi-Factor Authentication
Google Cloud uses global load balancing to distribute API traffic, ensuring high availability and reliability by minimizing the risk of outages.
What does VM stand for in the context of cloud computing?
- Virtual Machine
- Virtual Manager
- Virtual Memory
- Virtual Network
Virtual machines are fundamental building blocks of cloud computing, enabling the deployment and management of applications and services in a flexible and scalable manner. Understanding what VM stands for is crucial for beginners entering the field of cloud computing.
Which of the following is not a characteristic of Network Service Tiers?
- Low Latency
- High Availability
- Predictable Performance
- Cost Optimization
Identifying characteristics that are not associated with Network Service Tiers helps beginners understand the specific goals and priorities of these network offerings in Google Cloud.
Scenario: A company needs to deploy a Java web application that requires scaling based on traffic. Which environment of Google App Engine would be the best choice for them, and why?
- Standard Environment
- Flexible Environment
- Kubernetes Engine
- Compute Engine
The Standard Environment of Google App Engine is the best choice for deploying a Java web application that requires scaling based on traffic. It offers automatic scaling, managed services, and runtime environments optimized for scalability and cost efficiency, making it suitable for stateless web applications with predictable resource requirements.
How does Google Compute Engine handle sudden spikes in traffic with autoscaling?
- Google Compute Engine uses predictive algorithms and historical data analysis to anticipate traffic spikes and proactively scale resources before they occur.
- Google Compute Engine relies on manual intervention to detect and respond to sudden traffic spikes, requiring human operators to initiate scaling actions based on real-time monitoring and analysis.
- Google Compute Engine automatically provisions additional resources when traffic exceeds predefined thresholds, without considering historical patterns or future trends.
- Google Compute Engine relies on static scaling rules and predefined thresholds to handle traffic spikes, without considering dynamic changes in workload patterns or external factors.
Understanding how Google Compute Engine handles sudden spikes in traffic is crucial for designing resilient and scalable infrastructure deployments. By leveraging predictive analytics and automation, organizations can ensure reliable performance and cost-effective resource utilization under varying workload conditions.
_______ is a Google Cloud storage class designed for data that is accessed less frequently, typically once a month.
- Nearline
- Coldline
- Regional
- Multi-Regional
Understanding the different storage classes offered by Google Cloud Platform (GCP) is crucial for optimizing costs and performance based on data access patterns. Knowing that Nearline storage is specifically designed for less frequently accessed data helps in making informed decisions about storage solutions.
In which scenario would utilizing Nearline storage be more cost-effective compared to Coldline storage in Google Cloud Platform?
- Storing data that requires frequent access within the first 30 days.
- Storing data that needs to be retained for more than one year.
- Storing data that requires high throughput and low latency access.
- Storing data that needs to be compliant with regulatory requirements for data residency.
Understanding the cost dynamics between Nearline and Coldline storage helps organizations optimize their storage costs based on the access patterns and retention needs of their data. It ensures efficient resource allocation and budget management for long-term data storage.
Cloud Shell Editor allows users to edit files directly within the _______ environment.
- Integrated Development
- Cloud
- Virtual Machine
- Remote
The Cloud Shell Editor is part of the cloud environment, allowing users to edit files within the Google Cloud infrastructure directly from the browser.
What is the default shell environment provided by Google Cloud Shell?
- Bash
- PowerShell
- Zsh
- KornShell
Bash is the default shell environment in Google Cloud Shell, offering familiarity and compatibility with a wide range of Linux tools and scripts.
Stackdriver Monitoring offers _______ for tracking and analyzing logs across cloud resources.
- Logging
- Tracing
- Debugging
- Alerting
Stackdriver Logging is essential for tracking and analyzing logs across cloud resources, offering insights into system behavior and aiding in troubleshooting and compliance monitoring.
Google BigQuery ML allows users to build machine learning models directly within _______.
- SQL Queries
- Python Scripts
- TensorFlow
- Google Sheets
Knowing that BigQuery ML integrates seamlessly with SQL queries is essential for intermediate users interested in leveraging machine learning capabilities within the BigQuery platform. Understanding the tools and environments where BigQuery ML can be utilized helps users make informed decisions about their ML workflows.
_______ is a feature in Cloud DNS that helps prevent Distributed Denial of Service (DDoS) attacks.
- DNSSEC (Domain Name System Security Extensions)
- Anycast
- Rate Limiting
- Firewall Rules
DNSSEC is a crucial feature in Cloud DNS for mitigating DDoS attacks by providing cryptographic authentication and integrity to DNS responses, reducing the risk of DNS-based attacks. Understanding how DNSSEC works and its role in DDoS protection is essential for securing DNS infrastructure in the cloud.