Associate-Cloud-Engineer Google Cloud Certified - Associate Cloud Engineer exact Exam Questions

Google Cloud Certified - Associate Cloud Engineer

Last Update 11 hours ago Total Questions : 363

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Question # 11

You need to migrate invoice documents stored on-premises to Cloud Storage. The documents have the following storage requirements:

• Documents must be kept for five years.

• Up to five revisions of the same invoice document must be stored, to allow for corrections.

• Documents older than 365 days should be moved to lower cost storage tiers.

You want to follow Google-recommended practices to minimize your operational and development costs. What should you do?

Enable retention policies on the bucket, and use Cloud Scheduler to invoke a Cloud Function to move or delete your documents based on their metadata.

Enable retention policies on the bucket, use lifecycle rules to change the storage classes of the objects, set the number of versions, and delete old files.

Enable object versioning on the bucket, and use Cloud Scheduler to invoke a Cloud Functions instance to move or delete your documents based on their metadata.

Enable object versioning on the bucket, use lifecycle conditions to change the storage class of the objects, set the number of versions, and delete old files.

Question # 12

Your finance team wants to view the billing report for your projects. You want to make sure that the finance team does not get additional permissions to the project. What should you do?

Add the group for the finance team to roles/billing user role.

Add the group for the finance team to roles/billing admin role.

Add the group for the finance team to roles/billing viewer role.

Add the group for the finance team to roles/billing project/Manager role.

Question # 13

Your team maintains the infrastructure for your organization. The current infrastructure requires changes. You need to share your proposed changes with the rest of the team. You want to follow Google’s recommended best practices. What should you do?

Use Deployment Manager templates to describe the proposed changes and store them in a Cloud Storage bucket.

Use Deployment Manager templates to describe the proposed changes and store them in Cloud Source Repositories.

Apply the change in a development environment, run gcloud compute instances list, and then save the output in a shared Storage bucket.

Apply the change in a development environment, run gcloud compute instances list, and then save the output in Cloud Source Repositories.

Question # 14

You have a project for your App Engine application that serves a development environment. The required testing has succeeded and you want to create a new project to serve as your production environment. What should you do?

Use gcloud to create the new project, and then deploy your application to the new project.

Use gcloud to create the new project and to copy the deployed application to the new project.

Create a Deployment Manager configuration file that copies the current App Engine deployment into a new project.

Deploy your application again using gcloud and specify the project parameter with the new project name to create the new project.

Question # 15

You want to find out when users were added to Cloud Spanner Identity Access Management (IAM) roles on your Google Cloud Platform (GCP) project. What should you do in the GCP Console?

Open the Cloud Spanner console to review configurations.

Open the IAM & admin console to review IAM policies for Cloud Spanner roles.

Go to the Stackdriver Monitoring console and review information for Cloud Spanner.

Go to the Stackdriver Logging console, review admin activity logs, and filter them for Cloud Spanner IAM roles.

Question # 16

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?

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

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

In Cloud Logging create a filter for your Data Studio report

Use the open source CLI tool. Snapshot Debugger, to find out why the data was not refreshed correctly.

Question # 17

You are a Cloud Billing administrator for your company. Your company uses numerous Google Cloud projects and needs to implement a cost-control mechanism. Project teams must be notified promptly when their spending approaches its limit. You need to send near real-time notifications to a team ' s Slack channel when their project ' s spending reaches a predefined budget threshold. Your solution must be easy to support and require minimal maintenance. What should you do?

Create a detailed billing export to BigQuery. Create a Cloud Composer directed acyclic graph (DAG) that runs on a schedule to analyze the BigQuery data and post notifications to Slack.

Create a programmatic budget notification to send messages to a Pub/Sub topic. Create a Cloud Run function that is triggered by messages on the topic and posts the notifications to Slack.

Create a programmatic budget notification to send messages to a Pub/Sub topic. Create a Compute Engine managed instance group to pull messages from the Pub/Sub subscription and post them to Slack.

Create a detailed billing export to BigQuery. Create a Cloud Scheduler job that triggers a Cloud Run function to analyze the BigQuery data and post notifications to Slack.

Question # 18

You are operating a Google Kubernetes Engine (GKE) cluster for your company where different teams can run non-production workloads. Your Machine Learning (ML) team needs access to Nvidia Tesla P100 GPUs to train their models. You want to minimize effort and cost. What should you do?

Ask your ML team to add the “accelerator: gpu” annotation to their pod specification.

Recreate all the nodes of the GKE cluster to enable GPUs on all of them.

Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.

Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the cloud.google.com/gke -accelerator: nvidia-tesla-p100 nodeSelector to their pod specification.

Question # 19

You created a cluster.YAML file containing

resources:

name: cluster

type: container.v1.cluster

properties:

zone: europe-west1-b

cluster:

description: My GCP ACE cluster

initialNodeCount: 2

You want to use Cloud Deployment Manager to create this cluster in GKE. What should you do?

gcloud deployment-manager deployments create my-gcp-ace-cluster --config cluster.yaml

gcloud deployment-manager deployments create my-gcp-ace-cluster --type container.v1.cluster --config cluster.yaml

gcloud deployment-manager deployments apply my-gcp-ace-cluster --type container.v1.cluster --config cluster.yaml

gcloud deployment-manager deployments apply my-gcp-ace-cluster --config cluster.yaml

Question # 20

You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud. The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?

Provision preemptible Compute Engine instances.

Provision Compute Engine instances with GPUs attached.

Provision Compute Engine instances with local SSDs attached.

Provision Compute Engine instances with M1 machine type.