GCP Professional Cloud Architect Practice Question

A media company runs a regional managed instance group (MIG) of Compute Engine VMs that pull messages from a Pub/Sub subscription and transcode videos. Each VM keeps CPU usage around 30 %. During traffic bursts the Pub/Sub backlog grows quickly, delaying processing. You must scale the MIG automatically so the backlog stays below 1 000 messages without significantly over-provisioning idle vCPUs. Which autoscaling approach best meets this requirement?

  • Attach an external HTTP(S) load balancer in front of the MIG and autoscale on load-balancing utilization at 60 %.

  • Configure the MIG autoscaler to track a Cloud Monitoring metric that measures the Pub/Sub subscription's undelivered‐message count and scale to keep the value below 1 000.

  • Scale the MIG based on average CPU utilization with a target of 60 %.

  • Enable predictive autoscaling so the MIG launches additional VMs in advance of traffic spikes.

GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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