Exam Details

  • Exam Code
    :ASSOCIATE-CLOUD-ENGINEER
  • Exam Name
    :Associate Cloud Engineer
  • Certification
    :Google Certifications
  • Vendor
    :Google
  • Total Questions
    :363 Q&As
  • Last Updated
    :May 08, 2024

Google Google Certifications ASSOCIATE-CLOUD-ENGINEER Questions & Answers

  • Question 331:

    You have an application that runs on Compute Engine VM instances in a custom Virtual Private Cloud (VPC). Your company's security policies only allow the use to internal IP addresses on VM instances and do not let VM instances connect to the internet. You need to ensure that the application can access a file hosted in a Cloud Storage bucket within your project. What should you do?

    A. Enable Private Service Access on the Cloud Storage Bucket.

    B. Add slorage.googleapis.com to the list of restricted services in a VPC Service Controls perimeter and add your project to the list to protected projects.

    C. Enable Private Google Access on the subnet within the custom VPC.

    D. Deploy a Cloud NAT instance and route the traffic to the dedicated IP address of the Cloud Storage bucket.

  • Question 332:

    All development (dev) teams in your organization are located in the United States. Each dev team has its own Google Cloud project. You want to restrict access so that each dev team can only create cloud resources in the United States

    (US).

    What should you do?

    A. Create a folder to contain all the dev projects Create an organization policy to limit resources in US locations.

    B. Create an organization to contain all the dev projects. Create an Identity and Access Management (1AM) policy to limit the resources in US regions.

    C. Create an Identity and Access Management

    D. Create an Identity and Access Management (IAM)policy to restrict the resources locations in all dev projects. Apply the policy to all dev roles.

  • Question 333:

    You are configuring Cloud DNS. You want !to create DNS records to point home.mydomain.com, mydomain.com. and www.mydomain.com to the IP address of your Google Cloud load balancer. What should you do?

    A. Create one CNAME record to point mydomain.com to the load balancer, and create two A records to point WWW and HOME lo mydomain.com respectively.

    B. Create one CNAME record to point mydomain.com to the load balancer, and create two AAAA records to point WWW and HOME to mydomain.com respectively.

    C. Create one A record to point mydomain.com to the load balancer, and create two CNAME records to point WWW and HOME to mydomain.com respectively.

    D. Create one A record to point mydomain.com lo the load balancer, and create two NS records to point WWW and HOME to mydomain.com respectively.

  • Question 334:

    You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

    A. Use the BigQuery interface to review the nightly Job and look for any errors

    B. Review the Error Reporting page in the Cloud Console to find any errors.

    C. In Cloud Logging create a filter for your Data Studio report

    D. Use Cloud Debugger to find out why the data was not refreshed correctly

  • Question 335:

    You need to track and verity modifications to a set of Google Compute Engine instances in your Google Cloud project. In particular, you want to verify OS system patching events on your virtual machines (VMs). What should you do?

    A. Review the Compute Engine activity logs Select and review the Admin Event logs

    B. Review the Compute Engine activity logs Select and review the System Event logs

    C. Install the Cloud Logging Agent In Cloud Logging review the Compute Engine syslog logs

    D. Install the Cloud Logging Agent In Cloud Logging, review the Compute Engine operation logs

  • Question 336:

    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. 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-purpose machine 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

  • Question 337:

    You created a Kubernetes deployment by running kubectl run nginx image=nginx replicas=1. After a few days, you decided you no longer want this deployment. You identified the pod and deleted it by running kubectl delete pod. You noticed the pod got recreated.

    $ kubectl get pods NAME READY STATUS RESTARTS AGE nginx-84748895c4-nqqmt 1/1 Running 0 9m41s $ kubectl delete pod nginx-84748895c4-nqqmt pod nginx-84748895c4-nqqmt deleted $ kubectl get pods NAME READY STATUS RESTARTS AGE nginx-84748895c4-k6bzl 1/1 Running 0 25s

    What should you do to delete the deployment and avoid pod getting recreated?

    A. kubectl delete deployment nginx

    B. kubectl delete 璬eployment=nginx

    C. kubectl delete pod nginx-84748895c4-k6bzl 璶o-restart 2

    D. kubectl delete inginx

  • Question 338:

    You have been asked to create robust Virtual Private Network (VPN) connectivity between a new Virtual Private Cloud (VPC) and a remote site. Key requirements include dynamic routing, a shared address space of 10.19.0.1/22, and no overprovisioning of tunnels during a failover event. You want to follow Google-recommended practices to set up a high availability Cloud VPN. What should you do?

    A. Use a custom mode VPC network, configure static routes, and use active/passive routing

    B. Use an automatic mode VPC network, configure static routes, and use active/active routing

    C. Use a custom mode VPC network use Cloud Router border gateway protocol (86P) routes, and use active/passive routing

    D. Use an automatic mode VPC network, use Cloud Router border gateway protocol (BGP) routes and configure policy-based routing

  • Question 339:

    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

  • Question 340:

    You manage three Google Cloud projects with the Cloud Monitoring API enabled. You want to follow Google-recommended practices to visualize CPU and network metrics for all three projects together. What should you do?

    A. 1. Create a Cloud Monitoring Dashboard

    2.

    Collect metrics and publish them into the Pub/Sub topics

    3.

    Add CPU and network Charts (or each of (he three projects

    B. 1. Create a Cloud Monitoring Dashboard.

    2.

    Select the CPU and Network metrics from the three projects.

    3.

    Add CPU and network Charts lot each of the three protects.

    C. 1 Create a Service Account and apply roles/viewer on the three projects

    2.

    Collect metrics and publish them lo the Cloud Monitoring API

    3.

    Add CPU and network Charts for each of the three projects.

    D. 1. Create a fourth Google Cloud project 2 Create a Cloud Workspace from the fourth project and add the other three projects

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