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You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in...

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You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Firestore. Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

A.

Configure a Kubernetes autoscaling based on the subscription/push_request metric.

B.

Use the –enable- autoscaling flag when you create the Kubernetes cluster

C.

Configure a Kubernetes autoscaling based on the subscription/num_undelivered message metric.

D.

Use kubectl autoscale deployment APP_NAME –max 6 –min 2 –cpu- percent 50 to configure Kubernetes autoscaling deployment

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