You need to manage a Cloud Spanner Instance for best query performance. Your instance in production runs in a single Google Cloud region. You need to improve performance in the shortest amount of time. You want to follow Google best practices for service configuration. What should you do?

• A.Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 45% If you exceed this threshold, add nodes lo your instance.
• B.Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65%. Use database query statistics to identity queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage.
• C.Create an alert in Cloud Monitoring to alert when the percentage ot high priority CPU utilization reaches
  45% Use database query statistics to
  identify queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage
• D.Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65% If you exceed this threshold, add nodes to your instance

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You have an application that uses Cloud Spanner as a database backend to keep current state information about users. Cloud Bigtable logs all events triggered by users. You export Cloud Spanner data to Cloud Storage during daily backups. One of your analysts asks you to join data from Cloud Spanner and Cloud Bigtable for specific users. You want to complete this ad hoc request as efficiently as possible. What should you do?

• A.Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.
• B.Create a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.
• C.Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.
• D.Create two separate BigQuery external tables on Cloud Storage and Cloud Bigtable.
  Use the BigQuery console to join these tables through user fields, and apply appropriate filters.

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You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs. What should you do?

• A.Increase the size of the disk to 1 TB.
• B.Increase the allocated CPU to the instance.
• C.Migrate to use a Local SSD on the instance.
• D.Migrate to use a Regional SSD on the instance.

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You have an instance group that you want to load balance. You want the load balancer to terminate the client SSL session. The instance group is used to serve a public web application over HTTPS. You want to follow Google-recommended practices. What should you do?

• A.Configure an HTTP(S) load balancer.
• B.Configure an internal TCP load balancer.
• C.Configure an external SSL proxy load balancer.
• D.Configure an external TCP proxy load balancer.

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You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

• A.Create a new service account and assign this service account to the new instance Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
• B.Create a new service account and assign this service account to the new instance Grant the service account permissions on Cloud Storage.
• C.Create the instance with the default Compute Engine service account Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
• D.Create the instance with the default Compute Engine service account Grant the service account permissions on Cloud Storage.

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