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Zorluk: OrtaManaging Compute Engine Resources

An operations team needs to deploy a non-critical, fault-tolerant batch data processing workload on Google Compute Engine. The solution must minimize compute costs and require custom memory usage metrics to be sent to Cloud Monitoring for operational visibility. Which TWO actions should the team take to satisfy these requirements?

  1. Provision the Compute Engine VM instances using Spot VMs.Cevap
  2. Install and configure the Google Cloud Ops Agent on the VM instances.Cevap
  3. C
    Install the legacy Cloud Monitoring agent on the VM instances to collect system memory metrics.
  4. D
    Assign the primitive Editor role (roles/editor) to the service account attached to the Compute Engine instances.
  5. E
    Configure the Compute Engine instances to automatically increase project quota limits whenever memory utilization exceeds 80%.

Cevap

Provision the Compute Engine VM instances using Spot VMs, and install and configure the Google Cloud Ops Agent on the VM instances.
Provisioning instances as Spot VMs fulfills the requirement to minimize costs for a non-critical, fault-tolerant batch processing workload. Installing the Google Cloud Ops Agent provides the necessary system memory metrics to Cloud Monitoring according to Google Cloud best practices.

Adım Adım Çözüm

1
Select the appropriate Compute Engine instance purchasing model for cost-optimized, fault-tolerant batch processing.
Using Spot VMs significantly reduces compute expenditure while meeting the requirement for non-critical, preemption-tolerant workloads.
Spot VMs are designed specifically for fault-tolerant applications where cost efficiency is prioritized.
2
Determine the current Google Cloud standard agent for telemetry and memory metric collection on Compute Engine VMs.
The Google Cloud Ops Agent is selected as the active, supported standard for logging and system metrics (including memory).
Legacy agents are deprecated and do not represent current Google Cloud operational best practices.

Anahtar Kavram

Compute Engine operational management involving Spot VM cost optimization and Ops Agent deployment for system telemetry.
Tahmini Süre:1m 30s
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Managing Compute Engine Resources

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