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Google Associate-Cloud-Engineer certification exam is designed to test your knowledge and skills in managing and deploying Google Cloud Platform (GCP) solutions. Associate-Cloud-Engineer exam covers a wide range of topics, including setting up a cloud solution environment, managing storage and compute resources, configuring and deploying applications, and monitoring and managing operations.

Google Associate-Cloud-Engineer certification is an industry-recognized credential that demonstrates an individual's expertise in cloud engineering using GCP. Google Associate Cloud Engineer Exam certification is an excellent way to showcase your skills to potential employers and increase your chances of getting hired. It is also a valuable asset for individuals looking to advance their careers in cloud computing and work on complex cloud projects using GCP services.

Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Certification Exam is a credential that validates an individual's proficiency in deploying applications, monitoring operations, and managing cloud solutions on the Google Cloud platform. Google Associate Cloud Engineer Exam certification exam is ideal for individuals who want to demonstrate their skills in cloud computing and gain recognition for their expertise in Google Cloud technologies.

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Google Associate Cloud Engineer Exam Sample Questions (Q214-Q219):

NEW QUESTION # 214
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 an Identity and Access Management <IAM) policy to restrict the resources locations in the US. Apply the policy to all dev projects.
B. Create an organization to contain all the dev projects. Create an Identity and Access Management (IAM) policy to limit the resources in US regions.
C. Create an Identity and Access Management (IAM)policy to restrict the resources locations in all dev projects. Apply the policy to all dev roles.
D. Create a folder to contain all the dev projects Create an organization policy to limit resources in US locations.

Answer: D

NEW QUESTION # 215
Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure. You need to assign minimum permissions to these team members and you want to follow Google-recommended practices. What should you do?

A. Add the users to a group, and add this group to roles/iam.roleViewer role.
B. Add the users to roles/iam.roleViewer role.
C. Add the users to roles/browser role.
D. Add the users to a group, and add this group to roles/browser role.

Answer: D

Explanation:
We need to apply the GCP Best practices. roles/browser Browser Read access to browse the hierarchy for a project, including the folder, organization, and IAM policy. This role doesn't include permission to view resources in the project. https://cloud.google.com/iam/docs/understanding-roles

NEW QUESTION # 216
You have a website hosted on App Engine standard environment. You want 1% of your users to see a new test version of the website. You want to minimize complexity. What should you do?

A. Create a new App Engine application in the same project. Deploy the new version in that application. Use the App Engine library to proxy 1% of the requests to the new version.
B. Create a new App Engine application in the same project. Deploy the new version in that application.
Configure your network load balancer to send 1% of the traffic to that new application.
C. Deploy the new version in the same application and use the --splitsoption to give a weight of 99 to the current version and a weight of 1 to the new version.
D. Deploy the new version in the same application and use the --migrateoption.

Answer: A

NEW QUESTION # 217
You have an on-premises data analytics set of binaries that processes data files in memory for about 45 minutes every midnight. The sizes of those data files range from 1 gigabyte to 16 gigabytes. You want to migrate this application to Google Cloud with minimal effort and cost. What should you do?

A. Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance.
B. Upload the code to Cloud Functions. Use Cloud Scheduler to start the application.
C. Create a container for the set of binaries. Use Cloud Scheduler to start a Cloud Run job for the container.
D. Create a container for the set of binaries Deploy the container to Google Kubernetes Engine (GKE) and use the Kubernetes scheduler to start the application.

Answer: C

NEW QUESTION # 218
You are building a product on top of Google Kubernetes Engine (GKE). You have a single GKE cluster. For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod. You want to maximize the isolation between your customers' Pods. What should you do?

A. Use the cos_containerd image for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerd to the specification of your customers' Pods.
B. Use Binary Authorization and whitelist only the container images used by your customers' Pods.
C. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
D. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.

Answer: D

Explanation:
Reference:
GKE Sandbox provides an extra layer of security to prevent untrusted code from affecting the host kernel on your cluster nodes when containers in the Pod execute unknown or untrusted code. Multi-tenant clusters and clusters whose containers run untrusted workloads are more exposed to security vulnerabilities than other clusters. Examples include SaaS providers, web-hosting providers, or other organizations that allow their users to upload and run code. When you enable GKE Sandbox on a node pool, a sandbox is created for each Pod running on a node in that node pool. In addition, nodes running sandboxed Pods are prevented from accessing other Google Cloud services or cluster metadata. Each sandbox uses its own userspace kernel. With this in mind, you can make decisions about how to group your containers into Pods, based on the level of isolation you require and the characteristics of your applications.
Ref: https://cloud.google.com/kubernetes-engine/docs/concepts/sandbox-pods

NEW QUESTION # 219
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