Exam CAS-004 topic 1 question 381 discussion

CDN will help to reduce traffic by redirecting traffic to the closes CDN auto-scale if the is increase in traffic to meet demand and reduce cost

B and D. Auto scaling is always the answer when concerned with reducing cost and possible spikes in demand. Auto scaling groups require and Load balancer for both traffic balancing and triggering the growth or contraction of the auto scaling group.

A load balancer is used to distribute incoming network traffic across multiple servers, ensuring that no single server is overwhelmed with too much traffic. During high-demand periods (e.g., holidays), a load balancer can efficiently distribute the increased traffic across the available resources, improving performance and availability. Autoscaling automatically adjusts the number of active servers (or instances) based on the current demand. If traffic spikes during the holiday season, autoscaling will automatically add more resources to handle the increased load. Conversely, it will scale down when the traffic decreases after the holiday period.

ChatGPT goes with D and E. CDN reduced latency and improve performance on the site.

D. Autoscaling: Automatically adjusts the number of resources based on demand, ensuring efficient use of capacity and cost savings. E. CDN: Reduces the load on the primary servers by caching content closer to users, improving performance and reducing bandwidth costs.

D. Autoscaling: Autoscaling automatically adjusts the number of compute resources based on the current demand. This means that during peak times, such as the holiday season, the system can scale out to handle the increased traffic, and during off-peak times, it can scale in to reduce costs. B. Load balancer: A load balancer distributes incoming traffic across multiple servers to ensure no single server becomes overwhelmed. This helps optimize system capacity by utilizing resources more effectively and can contribute to cost savings by preventing the need for over-provisioning of resources.

The best answers are D. Autoscaling and E. CDN. D. Autoscaling: Autoscaling automatically adjusts the amount of computational resources based on the current load, ensuring that system capacity is optimized during peak times like the holidays, and reducing costs when the demand is lower. E. CDN (Content Delivery Network): A CDN helps to distribute the load by caching content closer to the users, reducing latency and offloading traffic from the main servers, which optimizes system capacity and can reduce operational costs.

he organization should implement B. Load balancer and D. Autoscaling to address these requirements. A load balancer distributes network or application traffic across a number of servers to ensure that no single server bears too much demand. This helps to optimize resource use, reduce response time, and increase availability and reliability of applications. Autoscaling allows organizations to scale cloud resources up or down automatically, based on predefined policies, schedules, or in response to traffic changes. This can help to manage costs and maintain performance at the peak times of demand. While the other options (Containerization, Microsegmentation, WAF, CDN) can provide some benefits, they do not directly address the specific requirements of optimizing system capacity and reducing cost.

Autoscaling and CDN (WAF shouldn't be another choice and is not part of the answer FYI)

Is it just me or is this question really poorly phrased? Also, why is D both WAF and Autoscaling? It doesn't make much sense. I'm going for Autoscaling + CDN: Autoscaling means that the system will automatically adjust its capacity based on the traffic and resource deman. A CDN will help optimize the system capacity and reduce costs by caching and reducing loads on the original servers. A load-balancer could also work in this scenario, but the use case doesn't explicitly say that traffic should be distributed across multiple servers. Autoscaling also takes care of the cost because it's dynamically adjusting to the demand in a pay-as-you-go fashion.

BD is correct as we are looking to address optimization of system capacity and reduce cost