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Google Updated Associate-Cloud-Engineer Exam Questions and Answers by dilan

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Google Associate-Cloud-Engineer Exam Overview :

Exam Name: Google Cloud Certified - Associate Cloud Engineer
Exam Code: Associate-Cloud-Engineer Dumps
Vendor: Google Certification: Google Cloud Certified
Questions: 325 Q&A's Shared By: dilan
Question 48

(Your company is migrating its workloads to Google Cloud due to an expiring data center contract. The on-premises environment and Google Cloud are not connected. You have decided to follow a lift-and-shift approach, and you plan to modernize the workloads in a future project. Several old applications connect to each other through hard-coded internal IP addresses. You want to migrate these workloads quickly without modifying the application code. You also want to maintain all functionality. What should you do?)

Options:

A.

Create a VPC with non-overlapping CIDR ranges compared to your on-premises network. When migrating individual workloads, assign each workload a new static internal IP address.

B.

Migrate your DNS server first. Configure Cloud DNS with a forwarding zone to your migrated DNS server. Then migrate all other workloads with ephemeral internal IP addresses.

C.

Migrate all workloads to a single VPC subnet. Configure Cloud NAT for the subnet and manually assign a static IP address to the Cloud NAT gateway.

D.

Create a VPC with the same CIDR ranges as your on-premises network. When migrating individual workloads, assign each workload the same static internal IP address.

Discussion
Question 49

You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

Options:

A.

Use kubectl app deploy .

B.

Use gcloud app deploy .

C.

Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

D.

Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

Discussion
Question 50

You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?

Options:

A.

Assign the pods of the image rendering microservice a higher pod priority than the older microservices

B.

Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purposemachine type nodes for the other microservices

C.

Use the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices

D.

Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default

Discussion
Question 51

The DevOps group in your organization needs full control of Compute Engine resources in your development project. However, they should not have permission to create or update any other resources in the project. You want to follow Google's recommendations for setting permissions for the DevOps group. What should you do?

Options:

A.

Grant the basic role roles/viewer and the predefined role roles/compute.admin to the DevOps group.

B.

Create an IAM policy and grant all compute. instanceAdmln." permissions to the policy Attach the policy to the DevOps group.

C.

Create a custom role at the folder level and grant all compute. instanceAdmln. * permissions to the role Grant the custom role to the DevOps group.

D.

Grant the basic role roles/editor to the DevOps group.

Discussion
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