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Professional-Cloud-Developer – Professional Cloud Developer

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Showing 4–6 of 15 questions

Question 4

You are deploying your applications on Compute Engine. One of your Compute Engine instances failed to launch. What should you do? (Choose two.)

Select all that apply, then click Submit answer.

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    Determine whether your file system is corrupted.
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    Access Compute Engine as a different SSH user.
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    Troubleshoot firewall rules or routes on an instance.
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    Check whether your instance boot disk is completely full.
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    Check whether network traffic to or from your instance is being dropped.
Question 5

You configured your Compute Engine instance group to scale automatically according to overall CPU usage. However, your application’s response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration of the instance group autoscaler. Which two configuration changes should you make? (Choose two.)

Select all that apply, then click Submit answer.

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    Add the label “AUTOSCALE” to the instance group template.
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    Decrease the cool-down period for instances added to the group.
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    Increase the target CPU usage for the instance group autoscaler.
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    Decrease the target CPU usage for the instance group autoscaler.
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    Remove the health-check for individual VMs in the instance group.
Question 6

You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:

• Scales automatically during popular events and maintains high availability

• Is resilient in the event of hardware failures

How should you configure the deployment parameters? (Choose two.)

Select all that apply, then click Submit answer.

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    Distribute your workload evenly using a multi-zonal node pool.
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    Distribute your workload evenly using multiple zonal node pools.
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    Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.
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    Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.
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    Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.