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Associate-Cloud-Engineer Exam Dumps - Google Cloud Certified - Associate Cloud Engineer

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Question # 25

Your preview application, deployed on a single-zone Google Kubernetes Engine (GKE) cluster in us-centrall, has gained popularity. You are now ready to make the application generally available. You need to deploy the application to production while ensuring high availability and resilience. You also want to follow Google-recommended practices. What should you do?

A.

Use the gcloud container clusters create command with the options--enable-multi-networking and--enable- autoscaling to create an autoscaling zonal cluster and deploy the application to it.

B.

Use the gcloud container clusters create-auto command to create an autopilot cluster and deploy the application to it.

C.

Use the gcloud container clusters update command with the option—region us-centrall to update the cluster and deploy the application to it.

D.

Use the gcloud container clusters update command with the option—node-locations us-centrall-a,us-centrall-b to update the cluster and deploy the application to the nodes.

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Question # 26

Your manager asks you to deploy a workload to a Kubernetes cluster. You are not sure of the workloads resource requirements or how the requirements might vary depending on usage patterns, external dependencies, or other factors. You need a solution that makes cost-effective recommendations regarding CPU and memory requirements, and allows the workload to function consistently in any situation. You want to follow Google-recommended practices. What should you do?

A.

Configure the Horizontal Pod Autoscaler for availability, and configure the cluster autoscaler for suggestions.

B.

Configure the Horizontal Pod Autoscaler for availability, and configure the Vertical Pod Autoscaler recommendations for suggestions.

C.

Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Cluster autoscaler for suggestions.

D.

Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Horizontal Pod Autoscaler for suggestions.

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Question # 27

You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster. Each microservice is a deployment with resource limits configured for each container in the deployment. You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

A.

Modify the cluster's node pool machine type and choose a machine type with more memory and CPU.

B.

Configure a Horizontal Pod Autoscaler for each microservice.

C.

Configure GKE cluster autoscaling.

D.

Configure a Vertical Pod Autoscaler for each microservice.

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Question # 28

You have a project for your App Engine application that serves a development environment. The required testing has succeeded and you want to create a new project to serve as your production environment. What should you do?

A.

Use gcloud to create the new project, and then deploy your application to the new project.

B.

Use gcloud to create the new project and to copy the deployed application to the new project.

C.

Create a Deployment Manager configuration file that copies the current App Engine deployment into a new project.

D.

Deploy your application again using gcloud and specify the project parameter with the new project name to create the new project.

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Question # 29

You want to host your video encoding software on Compute Engine. Your user base is growing rapidly, and users need to be able 3 to encode their videos at any time without interruption or CPU limitations. You must ensure that your encoding solution is highly available, and you want to follow Google-recommended practices to automate operations. What should you do?

A.

Deploy your solution on multiple standalone Compute Engine instances, and increase the number of existing instances wnen CPU utilization on Cloud Monitoring reaches a certain threshold.

B.

Deploy your solution on multiple standalone Compute Engine instances, and replace existing instances with high-CPUinstances when CPU utilization on Cloud Monitoring reaches a certain threshold.

C.

Deploy your solution to an instance group, and increase the number of available instances whenever you see high CPU utilization in Cloud Monitoring.

D.

Deploy your solution to an instance group, and set the autoscaling based on CPU utilization.

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Question # 30

You are deploying a web application using Compute Engine. You created a managed instance group (MIG) to host the application. You want to follow Google-recommended practices to implement a secure and highly available solution. What should you do?

A.

Use SSL proxy load balancing for the MIG and an A record in your DNS private zone with the load balancer's IP address.

B.

Use SSL proxy load balancing for the MIG and a CNAME record in your DNS public zone with the load balancer's IP address.

C.

Use HTTP(S) load balancing for the MIG and a CNAME record in your DNS private zone with the load balancer's IP address.

D.

Use HTTP(S) load balancing for the MIG and an A record in your DNS public zone with the load balancer's IP address.

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Question # 31

You have two Google Cloud projects: project-a with VPC vpc-a (10.0.0.0/16) and project-b with VPC vpc-b (10.8.0.0/16). Your frontend application resides in vpc-a and the backend API services ate deployed in vpc-b. You need to efficiently and cost-effectively enable communication between these Google Cloud projects. You also want to follow Google-recommended practices. What should you do?

A.

Configure a Cloud Router in vpc-a and another Cloud Router in vpc-b.

B.

Configure a Cloud Interconnect connection between vpc-a and vpc-b.

C.

Create VPC Network Peering between vpc-a and vpc-b.

D.

Create an OpenVPN connection between vpc-a and vpc-b.

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Question # 32

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.

Create a private zone on Cloud DNS, and configure the applications with the DNS name.

C.

Configure the IP of the database as custom metadata for each instance, and query the metadata server.

D.

Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.

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