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You are building a data lake on Google Cloud for your Internet of Things (loT) application. The loT application has millions of sensors that are constantly streaming structured and unstructured data to your backend in the cloud. You want to build a highly available and resilient architecture based on Google-recommended practices. What should you do?
A. Stream data to Pub/Sub, and use Dataflow to send data to Cloud Storage
B. Stream data to Pub/Sub. and use Storage Transfer Service to send data to BigQuery.
C. Stream data to Dataflow, and use Storage Transfer Service to send data to BigQuery.
D. Stream data to Dataflow, and use Dataprep by Trifacta to send data to Bigtable.
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?
A. 1. Create a consumer Gmail account.2.Write a script that monitors the CPU usage.3.When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.com on port 25 as SMTP server.
B. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.2.Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.3.Configure your email address in the notification channel.
C. 1. Create a Stackdriver Workspace, and associate your GCP project with it.2.Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.3.Create an uptime check for the instance in Stackdriver
D. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3}) %2.In Stackdriver Monitoring, create an Alerting Policy based on this metric.3.Configure your email address in the notification channel.
You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?
A. Create a Cloud Bigtable cluster and use the HBase API
B. Deploy MongoDB Alias from the Google Cloud Marketplace
C. Download a MongoDB installation package and run it on Compute Engine instances
D. Download a MongoDB installation package, and run it on a Managed Instance Group
You are using your personal workstation to develop an application that will be hosted in Google Cloud. You are authenticated using a Google Account (USER). You need to test whether a specific set of permissions assigned to an existing service account (SERVICE_ACCOUNT) are sufficient for a task without handling sensitive secret information. What should you do?
A. Grant USER the IAM role roles/iam.workloadIdentityUser on SERVICE_ACCOUNT.
B. Grant USER the IAM role roles/iam.serviceAccountKeyAdmin on SERVICE_ACCOUNT.
C. Grant USER the IAM role roles/iam.serviceAccountTokenCreator on SERVICE_ACCOUNT.
D. Grant USER the IAM role roles/iam.serviceAccountUser on SERVICE_ACCOUNT.
(You are managing an application deployed on Cloud Run. The development team has released a new version of the application. You want to deploy and redirect traffic to this new version of the application. To ensure traffic to the new version of the application is served with no startup time, you want to ensure that there are two idle instances available for incoming traffic before adjusting the traffic flow. You also want to minimize administrative overhead. What should you do?)
A. Ensure the checkbox "Serve this revision immediately" is unchecked when deploying the new revision. Before changing the traffic rules, use a traffic simulation tool to send load to the new revision.
B. Configure service autoscaling and set the minimum number of instances to 2.
C. Configure revision autoscaling for the new revision and set the minimum number of instances to 2.
D. Configure revision autoscaling for the existing revision and set the minimum number of instances to 2.
You are managing your company’s archival records that are stored in a Cloud Storage bucket using the Multi-Regional storage class. These objects are rarely accessed after 90 days but must be retained indefinitely to meet regulatory compliance requirements. You need to implement a cost-effective process that automatically transitions these objects to the lowest-cost storage class suitable for long-term retention immediately after the 90-day period. What should you do?
A. Enable Object Versioning on the bucket, and create an Object Lifecycle Management rule that sets the daysSinceNoncurrentTime condition to 90 days, transitioning noncurrent versions to Archive storage.
B. Create an Object Lifecycle Management rule on the bucket that specifies an age condition of 90 days and uses the SetStorageClass action to transition the objects to Archive storage.
C. Create a nightly scheduled Cloud Run function that uses the Cloud Storage API to change the storage class of all objects older than 90 days to Archive storage.
D. Create an Object Lifecycle Management rule on the bucket that specifies the createdBefore condition set to 90 days ago and uses the Delete action to remove the objects.
You need to create a custom VPC with a single subnet. The subnet’s range must be as large as possible. Which range should you use?
A. .00.0.0/0
B. 10.0.0.0/8
C. 172.16.0.0/12
D. 192.168.0.0/16
You want to verify the IAM users and roles assigned within a GCP project named my project. What should you do?
A. Run gcloud iam roles list. Review the output section.
B. Run gcloud iam service-accounts list. Review the output section.
C. Navigate to the project and then to the IAM section in the GCP Console. Review the members and roles.
D. Navigate to the project and then to the Roles section in the GCP Console. Review the roles and status.
You are building a new version of an application hosted in an App Engine environment. You want to test the new version with 1% of users before you completely switch your application over to the new version. What should you do?
A. Deploy a new version of your application in Google Kubernetes Engine instead of App Engine and then use GCP Console to split traffic.
B. Deploy a new version of your application in a Compute Engine instance instead of App Engine and then use GCP Console to split traffic.
C. Deploy a new version as a separate app in App Engine. Then configure App Engine using GCP Console to split traffic between the two apps.
D. Deploy a new version of your application in App Engine. Then go to App Engine settings in GCP Console and split traffic between the current version and newly deployed versions accordingly.
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.