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Difficulty: HardPlanning Compute Engine Resources and Machine Types

An enterprise SaaS provider is evaluating Compute Engine resource configurations for two new background processing workloads:

1. Workload Alpha: An event-driven image rendering worker pool that processes decoupled queue messages. Each task takes 3 to 10 seconds to process, operates statelessly, and can tolerate immediate instance termination without data loss.
2. Workload Beta: A stateful, high-throughput in-memory database cache node that requires 128 GB of RAM, runs continuously 24/7, and cannot tolerate unexpected interruptions.

Which TWO cost-effective and architecturally suitable provisioning strategies should the lead cloud architect select for these Compute Engine workloads? (Select TWO.)

  1. Provision Spot Virtual Machines for Workload Alpha to take advantage of significant compute discounts while maintaining fault tolerance via queue re-processing.Answer
  2. Purchase a 1-year or 3-year Committed Use Discount (CUD) for the memory-optimized or custom machine family resources required by Workload Beta.Answer
  3. C
    Deploy Workload Beta on Spot Virtual Machines with attached local SSDs to lower memory hosting costs while maintaining rapid I/O recovery.
  4. D
    Rely solely on automatic Sustained Use Discounts (SUDs) for Workload Beta instead of committing to long-term commitments to achieve maximum possible savings.

Answer

The architect should provision Spot Virtual Machines for the stateless queue processing workload (Workload Alpha) and purchase a 1-year or 3-year Committed Use Discount for the continuous, stateful memory workload (Workload Beta).
For stateless, fault-tolerant queue workers (Workload Alpha), Spot VMs drastically cut compute costs without risking application failure. For 24/7 stateful, high-memory database workloads (Workload Beta), Committed Use Discounts offer the highest cost reduction while ensuring standard VM stability.

Step-by-Step Solution

1
Analyze the fault tolerance and lifecycle requirements for Workload Alpha.
Workload Alpha is stateless, event-driven, short-lived, and tolerant of unexpected termination.
Fault-tolerant, stateless batch and queue processing workloads are ideal candidates for Spot VMs to minimize compute expenses.
2
Analyze the uptime, performance, and state requirements for Workload Beta.
Workload Beta runs continuous 24/7 operations and requires consistent, uninterruptible high memory (128 GB RAM).
Stateful and uninterruptible workloads cannot be hosted on Spot/Preemptible instances; long-term continuous availability demands Committed Use Discounts (CUDs) for optimal financial planning.
3
Select the correct combination of Compute Engine options based on suitability and cost optimization.
Combine Spot VMs for Workload Alpha with Committed Use Discounts for Workload Beta.
This strategy maximizes savings across both interruptible stateless processing and steady-state memory infrastructure.

Key Concept

Compute Engine Workload Planning: Spot VM Suitability vs Committed Use Discounts
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Topics

Planning Compute Engine Resources and Machine Types

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