You are running multiple VPC-native Google Kubernetes Engine clusters in the same subnet. The IPs available for the nodes are exhausted, and you want to ensure that the clusters can grow in nodes when needed.
What should you do?

• A.Create a new subnet in the same region as the subnet being used.
• B.Add an alias IP range to the subnet used by the GKE clusters.
• C.Create a new VPC, and set up VPC peering with the existing VPC.
• D.Expand the CIDR range of the relevant subnet for the cluster.

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You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

• A.Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.
• B.Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.
• C.Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.
• D.Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.

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You have a large 5-TB AVRO file stored in a Cloud Storage bucket. Your analysts are proficient only in SQL and need access to the data stored in this file. You want to find a cost-effective way to complete their request as soon as possible. What should you do?

• A.Load data in Cloud Datastore and run a SQL query against it.
• B.Create a BigQuery table and load data in BigQuery. Run a SQL query on this table and drop this table after you complete your request.
• C.Create external tables in BigQuery that point to Cloud Storage buckets and run a SQL query on these external tables to complete your request.
• D.Create a Hadoop cluster and copy the AVRO file to NDFS by compressing it. Load the file in a hive table and provide access to your analysts so that they can run SQL queries.

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You have been asked to set up Object Lifecycle Management for objects stored in storage buckets. The objects are written once and accessed frequently for 30 days. After 30 days, the objects are not read again unless there is a special need. The object should be kept for three years, and you need to minimize cost. What should you do?

• A.Set up a policy that uses Nearline storage for 30 days and then moves to Archive storage for three years.
• B.Set up a policy that uses Standard storage for 30 days and then moves to Archive storage for three years.
• C.Set up a policy that uses Nearline storage for 30 days, then moves the Coldline for one year, and then moves to Archive storage for two years.
• D.Set up a policy that uses Standard storage for 30 days, then moves to Coldline for one year, and then moves to Archive storage for two years.

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Your company has workloads running on Compute Engine and on-premises. The Google Cloud Virtual Private Cloud (VPC) is connected to your WAN over a Virtual Private Network (VPN). You need to deploy a new Compute Engine instance and ensure that no public Internet traffic can be routed to it. What should you do?

• A.Create the instance without a public IP address.
• B.Create the instance with Private Google Access enabled.
• C.Create a deny-all egress firewall rule on the VPC network.
• D.Create a route on the VPC to route all traffic to the instance over the VPN tunnel.
  Get private access to Google services, such as storage, big data, analytics, or machine learning, without having to give your service a public IP address.

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