A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs.
You want to minimize cost. What should you do?

• A.Enable node auto-provisioning on the GKE cluster.
• B.Create a VerticalPodAutscaler for those workloads.
• C.Create a node pool with preemptible VMs and GPUs attached to those VMs.
• D.Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.

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Your company has a large quantity of unstructured data in different file formats. You want to perform ETL transformations on the data. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

• A.Upload the data to BigQuery using the bqcommand line tool.
• B.Upload the data to Cloud Storage using the gsutilcommand line tool.
• C.Upload the data into Cloud SQL using the import function in the console.
• D.Upload the data into Cloud Spanner using the import function in the console.

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You need to immediately change the storage class of an existing Google Cloud bucket. You need to reduce service cost for infrequently accessed files stored in that bucket and for all files that will be added to that bucket in the future. What should you do?

• A.Create a new bucket and change the default storage class for the bucket import the files from the previous bucket into the new bucket
• B.Create a new bucket and change the default storage class for the bucket Set up Object Lifecycle management on lite bucket
• C.Use the gsutil to rewrite the storage class for the bucket Change the default storage class for the bucket
• D.Use the gsutil to rewrite the storage class for the bucket Set up Object Lifecycle management on the bucket

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You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

• A.1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.2. Create a Cloud Pub/Sub subscription for that topic.3. Make your application pull messages from that subscription.
• B.1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.2. Call your application on Cloud Run from the Cloud Function for every message.
• C.1. Create a service account.2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.
• D.1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.2. Create a Cloud Pub/Sub subscription for that topic.3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.

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You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

• A.The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
• B.Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
• C.The pending Pod's resource requests are too large to fit on a single node of the cluster.
• D.The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.

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