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Google Associate-Cloud-Engineer Certification Exam focuses on testing the proficiency and ability of candidates to operate and manage Google Cloud Platform services. Associate-Cloud-Engineer Exam is designed to validate the knowledge and skills required to deploy, monitor, and maintain applications on Google Cloud Platform.

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Google Associate Cloud Engineer Exam Sample Questions (Q250-Q255):

NEW QUESTION # 250
Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on- premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes. What should you do?

A. Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.
B. Configure the IP of the database as custom metadata for each instance, and query the metadata server.
C. Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.
D. Create a private zone on Cloud DNS, and configure the applications with the DNS name.

Answer: A

NEW QUESTION # 251
You are deploying an application to App Engine. You want the number of instances to scale based on request rate. You need at least 3 unoccupied instances at all times. Which scaling type should you use?

A. Basic Scaling with min_instances set to 3.
B. Automatic Scaling with min_idle_instances set to 3.
C. Manual Scaling with 3 instances.
D. Basic Scaling with max_instances set to 3.

Answer: B

Explanation:
App Engine calculates the number of instances necessary to serve your current application traffic based on scaling settings such as target_cpu_utilization and target_throughput_utilization. Setting min_idle_instances specifies the number of instances to run in addition to this calculated number.
For example, if App Engine calculates that 5 instances are necessary to serve traffic, and min_idle_instances is set to 2, App Engine will run 7 instances (5, calculated based on traffic, plus 2 additional per min_idle_instances).
https://cloud.google.com/appengine/docs/standard/go/config/appref

NEW QUESTION # 252
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.

Answer: A

Explanation:
gcloud compute networks subnets expand-ip-range NAME gcloud compute networks subnets expand-ip-range - expand the IP range of a Compute Engine subnetwork https://cloud.google.com/sdk/gcloud/reference/compute/networks/subnets/expand-ip-range

NEW QUESTION # 253
You created a Kubernetes deployment by running kubectl run nginx image=nginx labels=app=prod. Your Kubernetes cluster is also used by a number of other deployments. How can you find the identifier of the pods for this nginx deployment?

A. kubectl get deployments -output=pods
B. gcloud get pods -selector="app=prod"
C. kubectl get pods -I "app=prod"
D. gcloud list gke-deployments -filter={pod }

Answer: C

Explanation:
This command correctly lists pods that have the label app=prod. When creating the deployment, we used the label app=prod so listing pods that have this label retrieve the pods belonging to nginx deployments. You can list pods by using Kubernetes CLI kubectl get pods.
Ref: https://kubernetes.io/docs/tasks/access-application-cluster/list-all-running-container-images/ Ref: https://kubernetes.io/docs/tasks/access-application-cluster/list-all-running-container-images/#list-containers

NEW QUESTION # 254
You need to set up a policy so that videos stored in a specific Cloud Storage Regional bucket are moved to Coldline after 90 days, and then deleted after one year from their creation. How should you set up the policy?

A. Use Cloud Storage Object Lifecycle Management using Age conditions with SetStorageClass and Delete actions. Set the SetStorageClass action to 90 days and the Delete action to 365 days.
B. Use gsutil rewrite and set the Delete action to 275 days (365-90).
C. Use Cloud Storage Object Lifecycle Management using Age conditions with SetStorageClass and Delete actions. Set the SetStorageClass action to 90 days and the Delete action to 275 days (365 - 90)
D. Use gsutil rewrite and set the Delete action to 365 days.

Answer: C

NEW QUESTION # 255
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