In the context of Google Cloud's Network Service Tiers, what does the term "optimized" imply?
- Tailored for specific use cases, balancing performance and cost efficiency.
- Geared towards maximum performance, regardless of cost.
- Designed for minimum latency, regardless of cost.
- Tailored for maximum cost efficiency, regardless of performance.
Understanding what the term "optimized" implies in the context of Google Cloud's Network Service Tiers is essential for selecting the appropriate tier that aligns with application requirements and budget constraints. By choosing the optimized tier, organizations can achieve the desired balance between performance and cost efficiency.
Google Dataflow is a managed _______ processing service.
- Data
- Compute
- Storage
- Networking
Understanding that Google Dataflow is a managed data processing service is essential for users to leverage its capabilities effectively.
Scenario: A company requires high availability for its database server running on Google Cloud. Which feature of Persistent Disk should they leverage to ensure data redundancy and fault tolerance?
- Regional Persistent Disk
- Zonal Persistent Disk
- Local SSD
- Cloud Storage
Understanding the different types of Persistent Disk options and their capabilities is crucial for architecting highly available systems on Google Cloud. Leveraging Regional Persistent Disk ensures data redundancy and fault tolerance, which are essential for maintaining high availability for critical workloads like databases.
Scenario: A website is experiencing a sudden surge in traffic due to a viral post. How can Cloud CDN help in this situation?
- It caches content at edge locations to reduce load on the origin server
- It increases the compute power of the origin server
- It scales the database automatically to handle more queries
- It blocks excessive traffic to prevent server overload
Cloud CDN is effective in managing traffic surges by distributing and caching content, thereby reducing the load on the origin server and maintaining performance during high traffic periods.
Which metric is commonly used to determine when to scale up or down in autoscaling?
- CPU Utilization
- Disk Space Usage
- Memory Usage
- Network Latency
Understanding which metrics are commonly used for autoscaling helps administrators configure effective scaling policies that respond appropriately to changes in workload demand, ensuring optimal performance and resource utilization.
Scenario: A healthcare organization needs to ensure continuous availability of its patient portal application. How can Cloud Load Balancing be configured to meet this requirement?
- Setting up health checks for backend instances
- Using a single backend instance
- Enabling SSL termination at the load balancer
- Implementing session stickiness
To ensure continuous availability, Cloud Load Balancing should be configured with health checks to monitor the health of backend instances and remove unhealthy ones from the pool, thus maintaining reliable and uninterrupted access to the application.
Cloud CDN reduces _______ by caching content closer to users.
- Latency
- Costs
- Complexity
- Storage
Cloud CDN, or Content Delivery Network, is designed to reduce latency by storing copies of content closer to the end users. This geographical proximity decreases the time it takes for data to travel, leading to faster content delivery.
Which Google Cloud service provides content delivery network capabilities?
- Cloud CDN
- Cloud Storage
- Cloud SQL
- Cloud Functions
Cloud CDN is specifically designed to enhance the performance and availability of web content by caching it at locations close to users, reducing latency and server load.
Scenario: A multinational corporation requires high-speed, reliable connectivity between its data centers and Google Cloud Platform. Which option between interconnect and peering would be more suitable for their needs and why?
- Interconnect
- Peering
- VPN
- CDN
Interconnect is well-suited for organizations requiring high-speed, reliable connectivity between their data centers and Google Cloud Platform. Its dedicated connections ensure consistent performance and are suitable for large-scale data transfer and mission-critical applications. Understanding the differences between interconnect and peering helps organizations make informed decisions based on their specific connectivity needs.
Which of the following is a key feature of Google App Engine?
- Automatic scaling
- Manual resource management
- Limited programming language support
- No security features
Recognizing key features like automatic scaling helps beginners understand the benefits and capabilities of Google App Engine for deploying and managing web applications.