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    PracticeGCP Professional Cloud ArchitectGCP Professional Cloud Architect Practice Exam 6Question 33
    Medium1 markMultiple Choice
    Subtask 5.3: Cost OptimizationCost OptimizationCompute EngineAutoscalingSUDs

    GCP PCA · Question 33 · Cost Optimization

    A startup is running a stateless web application on Compute Engine. The traffic is highly unpredictable, with sudden spikes and long periods of low usage. They want to minimize compute costs but cannot commit to a 1-year or 3-year contract because their architecture might change next month. Which cost optimization strategy is most appropriate?

    Answer options:

    A.

    Purchase 1-year Committed Use Discounts (CUDs) for the peak capacity.

    B.

    Use a Managed Instance Group with autoscaling enabled, and rely on Sustained Use Discounts (SUDs) for the baseline instances.

    C.

    Run the entire application on Preemptible/Spot VMs.

    D.

    Provision the maximum required instances statically to ensure performance, and use Custom Machine Types to save money.

    How to approach this question

    Balance the need for flexibility (no commitments) with cost savings and reliability.

    Full Answer

    B.Use a Managed Instance Group with autoscaling enabled, and rely on Sustained Use Discounts (SUDs) for the baseline instances.✓ Correct
    Use a Managed Instance Group with autoscaling enabled, and rely on Sustained Use Discounts (SUDs) for the baseline instances.
    Sustained Use Discounts (SUDs) are automatic discounts applied to specific Compute Engine resources that run for a significant portion of the billing month. Combined with autoscaling, this provides the best balance of cost savings and flexibility for unpredictable workloads without requiring a CUD contract.

    Common mistakes

    Choosing Spot VMs (C) for the entire workload, which is too risky for a primary web application without a stable baseline.
    Question 32All questionsQuestion 34

    Practice the full GCP Professional Cloud Architect Practice Exam 6

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