Associate-Cloud-Engineer Dump Collection & Associate-Cloud-Engineer Exam Cost

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts
Planning and configuring a cloud solution	25%	- Configuring storage and database solutions - Configuring compute resources
Ensuring successful operation of a cloud solution	20%	- Managing cloud resources - Monitoring and logging
Deploying and implementing a cloud solution	20%	- Implementing networking components - Deploying applications and services
Configuring access and security	15%	- Managing IAM roles and permissions - Securing data and services

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Google Associate Cloud Engineer Exam Sample Questions (Q172-Q177):

NEW QUESTION # 172
You want to enable your development team to deploy new features to an existing Cloud Run service in production. To minimize the risk associated with a new revision, you want to reduce the number of customers who might be affected by an outage without introducing any development or operational costs to your customers. You want to follow Google-recommended practices for managing revisions to a service. What should you do?

A. Deploy your application to a second Cloud Run service, and ask your customers to use the second Cloud Run service.
B. Gradually roll out the new revision and split customer traffic between the revisions to allow rollback in case a problem occurs.
C. Send all customer traffic to the new revision, and roll back to a previous revision if you witness any problems in production.
D. Ask your customers to retry access to your service with exponential backoff to mitigate any potential problems after the new revision is deployed.

Answer: B

Explanation:
Cloud Run is a fully managed platform that allows you to deploy and run containerized applications without worrying about the underlying infrastructure. Cloud Run automatically scales your application based on the incoming requests, and you only pay for the resources you use. Cloud Run also supports deploying multiple revisions of your service, and splitting the customer traffic between them. This allows you to gradually roll out new features, test them in production, and monitor their performance and reliability. If you encounter any problems with the new revision, you can easily roll back to a previous revision by adjusting the traffic split. This is a Google-recommended practice for managing revisions to a service, as it minimizes the risk associated with a new revision, reduces the number of customers who might be affected by an outage, and does not introduce any development or operational costs to your customers.
The other options are not correct because they either do not follow the Google-recommended practice, or they do not reduce the risk or cost associated with a new revision. Option B is not correct because deploying your application to a second Cloud Run service, and asking your customers to use the second Cloud Run service, is not a gradual roll out, but a complete switch. This may cause confusion and inconvenience for your customers, and it does not allow you to monitor the performance and reliability of the new revision in comparison with the old one. Option C is not correct because asking your customers to retry access to your service with exponential backoff to mitigate any potential problems after the new revision is deployed, is not a good user experience, and it does not address the root cause of the problems. Option D is not correct because sending all customer traffic to the new revision, and rolling back to a previous revision if you witness any problems in production, is a risky and costly strategy, as it exposes all your customers to the potential problems, and it does not allow you to test the new revision before deploying it to all customers.
Reference:
Cloud Run documentation
Managing revisions
Splitting traffic

NEW QUESTION # 173
You need to provide a cost estimate for a Kubernetes cluster using the GCP pricing calculator for Kubernetes. Your workload requires high IOPs, and you will also be using disk snapshots. You start by entering the number of nodes, average hours, and average days. What should you do next?

A. Select Add GPUs. Fill in persistent disk storage and snapshot storage.
B. Fill in local SSD. Add estimated cost for cluster management.
C. Fill in local SSD. Fill in persistent disk storage and snapshot storage.
D. Select Add GPUs. Add estimated cost for cluster management.

Answer: A

Explanation:
Reference:
https://cloud.google.com/products/calculator#tab=container

NEW QUESTION # 174
A colleague handed over a Google Cloud Platform project for you to maintain. As part of a security checkup, you want to review who has been granted the Project Owner role. What should you do?

A. In the console, validate which SSH keys have been stored as project-wide keys.
B. Navigate to Identity-Aware Proxy and check the permissions for these resources.
C. Use the command gcloud projects get-iam-policy to view the current role assignments.
D. Enable Audit Logs on the IAM & admin page for all resources, and validate the results.

Answer: C

Explanation:
A simple approach would be to use the command flags available when listing all the IAM policy for a given project. For instance, the following command: `gcloud projects get-iam-policy $PROJECT_ID --flatten="bindings[].members" --format="table(bindings.members)" --filter="bindings.role:roles/owner"` outputs all the users and service accounts associated with the role 'roles/owner' in the project in question. https://groups.google.com/g/google-cloud-dev/c/Z6sZs7TvygQ?pli=1

NEW QUESTION # 175
You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

A. 1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.
2. Call your application on Cloud Run from the Cloud Function for every message.
B. 1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.
2. Create a Cloud Pub/Sub subscription for that topic.
3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.
C. 1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.
2. Create a Cloud Pub/Sub subscription for that topic.
3. Make your application pull messages from that subscription.
D. 1. Create a service account.
2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.
3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.

Answer: B

NEW QUESTION # 176
You're working for a company as a Cloud engineer. You have a managed instance group for which the autoscaling is enabled if CPU utilization is 70%. Right now there are 4 instances available in this instance group. When you connect to one of the instance, you see that the CPU utilization is 75% and there is no new instance is started in the group. What could be the possible reason for not starting another instance here?

A. Autoscaling is not active
B. None of the above
C. It will take 60 seconds to launch a new instance
D. Average CPU usage of the instance group is less than 70%

Answer: D

NEW QUESTION # 177
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