Which of the following is / are true for Preemptible Instances.

• A.Preemptible Instances have no Service Level Agreement (Compute Engine SLA).
• B.Google Cloud Free Tier credits for compute engine do not apply to preemptible in-stances.
• C.Preemptible instances can't live migrate to a regular VM instance, or be set to au-tomatically restart when there is a maintenance event.
• D.All of the above.

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A prospect wants to be able to store and analyze dat
a. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?

• A.Cloud SQL, BigQuery, Datastore
• B.Spanner, Cloud SQL, BigQuery
• C.Cloud SQL, Firestore, Datastore
• D.Cloud SQL, Bigtable, BigQuery

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Which of the following is true while creating a boot persistent disk from a snapshot.

• A.You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
• B.It is only possible to apply data from a snapshot when you first create a persistent disk.
• C.After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks.
• D.All of the above.

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Your company has multiple internal applications used by your employees. You also have to give access to certain vendors and contractors. What is a good option for you to adopt?

• A.Allow all users, especially contractors and vendors, to bring their own identities, like those at gmail.com.
• B.Use an external identity provider that is famous and popular like Facebook or Twitter; that way, even your vendors and contractors will have an account there.
• C.Use an IDaaS (Identity as a Service) product that can centrally manage authenti-cation and authorization for the applications.
• D.Keep the credentials separate for each application to reduce the blast radius in case of any issues.

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Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters. What should your organization choose?

• A.Google Kubernetes Engine with Cloud Bigtable
• B.Dataproc
• C.Compute Engine with BigQuery
• D.Dataflow

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