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.
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.
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.
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.
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.
Which factor does autoscaling adjust based on in Google Compute Engine?
- CPU utilization
- Network latency
- Disk storage capacity
- DNS resolution speed
Understanding the factors that autoscaling adjusts based on helps beginners grasp the mechanism behind autoscaling and its impact on resource management and application performance within Google Compute Engine. Recognizing the importance of factors like CPU utilization enables effective autoscaling configurations and optimizations.
Scenario: An organization is primarily concerned with cost optimization for their network traffic without compromising reliability. Which Network Service Tier option should they consider in Google Cloud?
- Standard Tier
- Premium Tier
- Basic Tier
- Custom Tier
Understanding the trade-offs between cost optimization and reliability in network service tiers is essential for organizations seeking to balance their budgetary constraints with their networking needs. In this scenario, the Standard Tier provides a suitable balance between cost optimization and reliability.
_______ 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.
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.
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.