You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

• A.Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to the role.
• B.Run gcloud iam roles describe roles/spanner.viewer - -project my-project. Add the users to a new group. Add the group to the role.
• C.Run gcloud iam roles describe roles/spanner.viewer - -project my-project. Add the users to the role.
• D.Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to a new group.
  Add the group to the role.

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The development team needs a regional MySQL database with point-in-time recovery for a new proof- of-concept application. What's the most inexpensive way to enable point-in-time recovery?

• A.Create a read replica in the same region.
• B.Replicate to a Cloud Spanner database.
• C.Create hourly back-ups.
• D.Enable binary logging.

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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 pending Pod's resource requests are too large to fit on a single node of the cluster.
• B.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.
• C.The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
• D.Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.

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You are building a pipeline to process time-series data.
Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

• A.Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
• B.Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
• C.Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
• D.Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery

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You want to select and configure a solution for storing and archiving data on Google Cloud Platform. You need to support compliance objectives for data from one geographic location. This data is archived after 30 days and needs to be accessed annually. What should you do?

• A.Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.
• B.Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.
• C.Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.
• D.Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.

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