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

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Question # 57

You are working for a startup that was officially registered as a business 6 months ago. As your customer base grows, your use of Google Cloud increases. You want to allow all engineers to create new projects without asking them for their credit card information. What should you do?

Create a Billing account, associate a payment method with it, and provide all project creators with permission to associate that billing account with their projects.

Grant all engineerâ€™s permission to create their own billing accounts for each new project.

Apply for monthly invoiced billing, and have a single invoice tor the project paid by the finance team.

Create a billing account, associate it with a monthly purchase order (PO), and send the PO to Google Cloud.

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Question # 58

You have deployed multiple Linux instances on Compute Engine. You plan on adding more instances in the coming weeks. You want to be able to access all of these instances through your SSH client over me Internet without having to configure specific access on the existing and new instances. You do not want the Compute Engine instances to have a public IP. What should you do?

Configure Cloud Identity-Aware Proxy (or HTTPS resources

Configure Cloud Identity-Aware Proxy for SSH and TCP resources.

Create an SSH keypair and store the public key as a project-wide SSH Key

Create an SSH keypair and store the private key as a project-wide SSH Key

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Question # 59

You have a developer laptop with the Cloud SDK installed on Ubuntu. The Cloud SDK was installed from the Google Cloud Ubuntu package repository. You want to test your application locally on your laptop with Cloud Datastore. What should you do?

Export Cloud Datastore data using gcloud datastore export.

Create a Cloud Datastore index using gcloud datastore indexes create.

Install the google-cloud-sdk-datastore-emulator component using the apt get install command.

Install the cloud-datastore-emulator component using the gcloud components install command.

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Question # 60

You have an application that is currently processing transactions by using a group of managed VM instances. You need to migrate the application so that it is serverless and scalable. You want to implement an asynchronous transaction processing system, while minimizing management overhead. What should you do?

Install Kafka on VM instances to acknowledge incoming transactions. Use Cloud Run to process transactions.

Install Kafka on VM Instances to acknowledge incoming transactions. Use VM Instances to process transactions.

Use Pub/Sub to acknowledge incoming transactions. Use VM instances to process transactions.

Use Pub/Sub to acknowledge incoming transactions. Use Cloud Run to process transactions.

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Answer:

Explanation:

The goal is to create a serverless, scalable, and asynchronous transaction processing system with minimal management overhead.

Serverless Requirement:Options involving installing Kafka on VMs (A, B) or using VM instances for processing (B, C) introduce management overhead associated with VMs (patching, scaling configuration, OS management) and Kafka cluster management, violating the serverless and minimal management criteria.

Asynchronous Requirement:Both Kafka and Pub/Sub can handle asynchronous messaging. However, Pub/Sub is Google Cloud's fully managed, serverless messaging service, inherently minimizing management overhead compared to self-managed Kafka on VMs.

Scalability and Processing:Cloud Run is a fully managed, serverless platform that automatically scales based on traffic, suitable for processing transactions without managing underlying infrastructure. VM instances require manual scaling configuration or managed instance groups, adding overhead.

Combining Pub/Sub for asynchronous message ingestion (fully managed, serverless) and Cloud Run for processing (fully managed, serverless, scalable) directly meets all requirements: serverless, scalable, asynchronous, and minimal management overhead. Option D is the only one that uses fully serverless components for both ingestion and processing.

[References:, Google Cloud Pub/Sub Overview: "Pub/Sub is an asynchronous and scalable messaging service..." -https://cloud.google.com/pubsub/docs/overview, Google Cloud Run Overview: "Cloud Run is a managed compute platform that lets you run containers directly on top of Google's scalable infrastructure." -https://cloud.google.com/run/docs/overview/what-is-cloud-runÂ , Serverless Patterns (Pub/Sub + Cloud Run): This combination is a standard pattern for event-driven, serverless applications. -https://cloud.google.com/run/docs/triggering/pubsub-push, , , ]

Question # 61

You are the Google Cloud systems administrator for your organization. User A reports that they received an error when attempting to access the Cloud SQL database in their Google Cloud project, while User B can access the database. You need to troubleshoot the issue for User A, while following Google-recommended practices.

What should you do first?

Confirm that network firewall rules are not blocking traffic for User A.

Review recent configuration changes that may have caused unintended modifications to permissions.

Verify that User A has the Identity and Access Management (IAM) Project Owner role assigned.

Review the error message that User A received.

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Question # 62

You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset. What should you do?

Ask the other team to grant your default App Engine Service account the role of BigQuery Job User.

Ask the other team to grant your default App Engine Service account the role of BigQuery Data Viewer.

In Cloud IAM of your project, ensure that the default App Engine service account has the role of BigQuery Data Viewer.

In Cloud IAM of your project, grant a newly created service account from the other team the role of BigQuery Job User in your project.

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Question # 63

You created a Kubernetes deployment by runningÂ 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.

$ kubectlgetpods

NAME READY STATUS RESTARTS AGE

nginx-84748895c4-nqqmt 1/1 Running 0 9m41s

$ kubectldeletepod nginx-84748895c4-nqqmt

pod nginx-84748895c4-nqqmt deleted

$ kubectlgetpods

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?

kubectl delete deployment nginx

kubectl delete â€“deployment=nginx

kubectl delete pod nginx-84748895c4-k6bzl â€“no-restart 2

kubectl delete inginx

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Question # 64

You need to reduce GCP service costs for a division of your company using the fewest possible steps. You need to turn off all configured services in an existing GCP project. What should you do?

1. Verify that you are assigned the Project Owners IAM role for this project.2. Locate the project in the GCP console, click Shut down and then enter the project ID.

1. Verify that you are assigned the Project Owners IAM role for this project.2. Switch to the project in the GCP console, locate the resources and delete them.

1. Verify that you are assigned the Organizational Administrator IAM role for this project.2. Locate the project in the GCP console, enter the project ID and then click Shut down.

1. Verify that you are assigned the Organizational Administrators IAM role for this project.2. Switch to the project in the GCP console, locate the resources and delete them.

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