Exam Cloud Digital Leader topic 1 question 47 discussion

A for me, with CUD you get a greater discount and it makes totally sense to buy a CUD for the baseline traffic since it will always be consumed

Will gop with C. as CUD is applicable for 1 or 3 year period. In the ques, there is no mention of that info. So SUD is appropriate as we cannot assume that the VMs will be used for 1 or 3 years..

Purchasing committed use discounts for the baseline load (Option A) is the best choice because it guarantees lower costs for steady-state processing while keeping the flexibility to scale up cost-effectively during spikes.

"application normally stays at a certain levels" sound like a predictable workload. Google recommends: "Consider purchasing commitments for CUDs if you have a predictable workload", so it is CUD (A)

Preemptible VMs are short-lived instances that offer substantial cost savings (up to 80% less than standard VMs) but can be terminated by Google Cloud at any time if resources are needed elsewhere. This option is ideal for batch processing jobs where interruptions can be tolerated, making it suitable for image processing tasks that can be retried without significant overhead.

For me its D

A is correct

A. Purchase committed use discounts for the baseline load and D. Run the workload on preemptible VM instances. Here's why: Committed use discounts are ideal for the baseline load because they provide significant savings for predictable, steady usage over a one- or three-year term. Preemptible VM instances are highly cost-effective for handling the spike loads. These instances are much cheaper than regular VMs but can be terminated by Google Cloud if resources are needed elsewhere. Since your spike workloads are not constant, using preemptible VMs can help manage costs during those peak times. Combining these two strategies allows you to optimize costs for both steady and fluctuating workloads.

A is correct

Commited use discount for base is cost effective and it doesnt restrict spiked usage

Commited use discount for base is cost effective and it doesnt restrict spiked usage

Correct answer is: A. Purchase committed use discounts for the baseline load. Explanation: Committed Use Discounts (CUDs) are ideal for predictable workloads. By purchasing CUDs for the baseline load, your organization can secure significant savings on the resources that will be consistently used, which helps manage costs effectively. This approach allows you to commit to a certain level of usage over a specified period (usually one or three years) and receive discounted rates compared to on-demand pricing. Running the workload on preemptible VM instances (option D) could save costs, but preemptible VMs can be terminated at any time, which may not be suitable for critical workloads that require reliability.

A for me .

for regular spike, its better to go for committed baseline

D. Run the workload on preemptible VM instances Here’s why this is the best option: Preemptible VM instances: These are short-lived, low-cost instances that are ideal for handling temporary, bursty workloads. They are significantly cheaper than standard VM instances but can be terminated by Google Cloud with little notice (about 30 seconds). For workloads with predictable spikes, using preemptible VMs can provide a cost-effective solution to handle the increased demand without incurring high costs.

The best option to control cost for your organization's image processing application is: A. Purchase committed use discounts for the baseline load Here's why the other options are less suitable: B. Purchase committed use discounts for the expected spike load: Committed use discounts are most beneficial for predictable, ongoing resource usage. Since the spike load is temporary, committing to those resources wouldn't be cost-effective. C. Leverage sustained use discounts for your VMs: Sustained use discounts reward consistent resource usage at a discount compared to on-demand pricing. However, they might not be ideal for workloads with significant spikes that could push you outside the sustained use window. D. Run the workload on preemptible VM instances: Preemptible VMs are a good option for highly flexible workloads that can be interrupted. However, for image processing tasks that take hours, interruptions during processing could lead to wasted work and require restarts.

your workload has a predictable baseline level. Google Cloud offers sustained use discounts for Compute Engine commitments that reserve VM instances for a period of 1 year or 3 years. This can significantly reduce your costs for the baseline usage.