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    PracticeGCP Professional Cloud ArchitectGCP Professional Cloud Architect Practice Exam 7Question 03
    Medium1 markMultiple Choice
    Subtask 2.3: Compute SystemsGKE AutopilotCompute EngineContainersCI/CD
    This question is part of a case study — click to read the full scenario(Case 01)

    CASE STUDY: TechStream Gaming

    Company Overview:
    TechStream Gaming is a global multiplayer game developer with 500 employees and $100M annual revenue. They recently launched a hit mobile game that is growing rapidly.

    Current Technical Environment:

    • On-premises data centers in US and EU.
    • 200 bare-metal servers running Linux.
    • Self-managed MySQL databases (5 TB total) for player profiles and inventory.
    • Peak concurrent users: 2 million.
    • Current monthly infrastructure cost: $150K.

    Business Requirements:

    • Reduce infrastructure costs by 40%.
    • Support 5x user growth over 2 years.
    • Launch in 3 new regions (APAC, SA, Africa).
    • Improve deployment speed from 1 week to daily.

    Executive Statements:

    • CEO: "We need to scale rapidly to compete. Cloud migration is critical."
    • CFO: "Cost reduction is paramount. We cannot exceed $100K/month. ROI must be achieved in 18 months."
    • CTO: "Our team has limited cloud experience. Reliability is non-negotiable - 99.95% uptime minimum."

    Technical Requirements:

    • Sub-100ms latency for players globally.
    • Real-time analytics on player behavior.
    • Seasonal traffic spikes (5x during holidays).
    • CI/CD pipeline for daily deployments.

    Constraints:

    • Migration must complete in 12 months.
    • Cannot exceed 4-hour downtime during cutover.
    • Dev team: 20 engineers (Java, MySQL).
    • Ops team: 5 engineers (limited cloud experience).

    QUESTION:
    Which database migration strategy should you recommend to meet the global scalability and latency requirements while minimizing operational overhead for the ops team?

    View full case study page →

    GCP PCA · Question 03 · Compute Systems

    CASE STUDY: TechStream Gaming

    Company Overview:
    TechStream Gaming is a global multiplayer game developer with 500 employees and $100M annual revenue. They recently launched a hit mobile game that is growing rapidly.

    Current Technical Environment:

    • On-premises data centers in US and EU.
    • 200 bare-metal servers running Linux.
    • Self-managed MySQL databases (5 TB total) for player profiles and inventory.
    • Peak concurrent users: 2 million.
    • Current monthly infrastructure cost: $150K.

    Business Requirements:

    • Reduce infrastructure costs by 40%.
    • Support 5x user growth over 2 years.
    • Launch in 3 new regions (APAC, SA, Africa).
    • Improve deployment speed from 1 week to daily.

    Executive Statements:

    • CEO: "We need to scale rapidly to compete. Cloud migration is critical."
    • CFO: "Cost reduction is paramount. We cannot exceed $100K/month. ROI must be achieved in 18 months."
    • CTO: "Our team has limited cloud experience. Reliability is non-negotiable - 99.95% uptime minimum."

    Technical Requirements:

    • Sub-100ms latency for players globally.
    • Real-time analytics on player behavior.
    • Seasonal traffic spikes (5x during holidays).
    • CI/CD pipeline for daily deployments.

    Constraints:

    • Migration must complete in 12 months.
    • Cannot exceed 4-hour downtime during cutover.
    • Dev team: 20 engineers (Java, MySQL).
    • Ops team: 5 engineers (limited cloud experience).

    QUESTION:
    Which compute architecture should you recommend for the game servers to meet the deployment speed, scalability, and operational constraints?

    Answer options:

    A.

    Migrate the Linux servers as-is to Compute Engine Managed Instance Groups (MIGs).

    B.

    Rewrite the applications as serverless functions using Cloud Functions.

    C.

    Containerize the Java applications and deploy them to Google Kubernetes Engine (GKE) Standard.

    D.

    Containerize the Java applications and deploy them to Google Kubernetes Engine (GKE) Autopilot.

    How to approach this question

    Balance the need for modern CI/CD (containers) with the constraint of limited ops experience (managed services).

    Full Answer

    D.Containerize the Java applications and deploy them to Google Kubernetes Engine (GKE) Autopilot.✓ Correct
    GKE Autopilot is a mode of operation in GKE where Google manages the cluster infrastructure, including nodes and scaling. This perfectly aligns with the CTO's constraint regarding the ops team's limited experience, while providing the containerized environment needed by the dev team to achieve daily deployments.

    Common mistakes

    Choosing GKE Standard (Option C) ignores the operational burden constraint.
    Question 02All questionsQuestion 04

    Practice the full GCP Professional Cloud Architect Practice Exam 7

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