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The Google Associate-Cloud-Engineer exam is intended for individuals who have hands-on experience in working with Google Cloud Platform and are familiar with the fundamental concepts of cloud computing. Google Associate Cloud Engineer Exam certification is ideal for professionals such as system administrators, cloud architects, and developers who want to demonstrate their expertise in Google Cloud Platform. Associate-Cloud-Engineer exam is conducted online and consists of multiple-choice questions that are designed to test the candidate's knowledge of Google Cloud Platform services.

The Associate Cloud Engineer certification exam consists of multiple-choice questions and practical scenarios that test the candidate's ability to perform tasks using GCP services such as Compute Engine, App Engine, and Kubernetes Engine. Associate-Cloud-Engineer Exam also evaluates the candidate's ability to use cloud monitoring tools to optimize performance, troubleshoot issues, and ensure high availability of applications. Passing Associate-Cloud-Engineer exam demonstrates that an individual has acquired the necessary skills and knowledge to work with GCP, which is increasingly becoming a preferred platform for organizations seeking to build and scale cloud-based solutions.

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Google Associate Cloud Engineer Exam Sample Questions (Q345-Q350):

NEW QUESTION # 345
You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube- system namespace of the cluster. You want a solution that uses the fewest possible services.
What should you do?

A. In the cluster's definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.
B. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
C. Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
D. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.

Answer: C

NEW QUESTION # 346
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?

A. 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
B. Assign the pods of the image rendering microservice a higher pod priority than the older 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. Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose machine type nodes for the other microservices

Answer: D

NEW QUESTION # 347
You are running out of primary internal IP addresses in a subnet for a custom mode VPC. The subnet has the IP range 10.0.0.0/20, and the IP addresses are primarily used by virtual machines in the project. You need to provide more IP addresses for the virtual machines. What should you do?

A. Add a secondary IP range 10.1.0.0/20 to the subnet.
B. Change the subnet IP range from 10.0.0.0/20 to 10.0.0.0/18.
C. Convert the subnet IP range from IPv4 to IPv6.
D. Change the subnet IP range from 10.0.0.0/20 to 10.0.0.0/22.

Answer: A

NEW QUESTION # 348
Your company developed an application to deploy on Google Kubernetes Engine. Certain parts of the application are not fault-tolerant and are allowed to have downtime Other parts of the application are critical and must always be available. You need to configure a Goorj e Kubernfl:es Engine duster while optimizing for cost. What should you do?

A. Create a cluster with a single node-pool by using Spot VMs. Label the critical Deployments as spot- false.
B. Create a cluster with a single node-pool by using standard VMs. Label the fault-tolerant Deployments as spot-true.
C. Create a cluster with both a Spot VM node pool and by using standard VMs. Deploy the critical deployments on the mode pool by using standard VMs and the fault-tolerant deployments on the Spot VM node pool.
D. Create a cluster with both a Spot W node pool and a rode pool by using standard VMs Deploy the critical.deployments on the Spot VM node pool and the fault; tolerant deployments on the node pool by using standard VMs.

Answer: D

NEW QUESTION # 349
You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

A. Create a single custom VPC with 2 subnets. Create each subnet in a different region and with a different CIDR range.
B. Create 2 custom VPCs, each with a single subnet. Create each subnet in the same region and with the same CIDR range.
C. Create a single custom VPC with 2 subnets. Create each subnet in the same region and with the same CIDR range.
D. Create 2 custom VPCs, each with a single subnet. Create each subnet is a different region and with a different CIDR range.

Answer: A

Explanation:
When we create subnets in the same VPC with different CIDR ranges, they can communicate automatically within VPC. Resources within a VPC network can communicate with one another by using internal (private) IPv4 addresses, subject to applicable network firewall rules Ref: https://cloud.google.com/vpc/docs/vpc

NEW QUESTION # 350
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