How should you configure the deployment parameters for a microservices application on Google Kubernetes Engine (GKE) that broadcasts livestreams, given the requirements of automatic scaling during unpredictable traffic spikes, high availability, and resilience to hardware failures? (Select two.)

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Distribute your workload evenly using a multi-zonal node pool.

33.3%

Distribute your workload evenly using multiple zonal node pools.

13.0%

Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.

48.1%

Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.

5.6%

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.

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How should you configure the deployment parameters for a microservices application on Google Kubernetes Engine (GKE) that broadcasts livestreams, given the requirements of automatic scaling during unpredictable traffic spikes, high availability, and resilience to hardware failures? (Select two.)