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Professional-Cloud-Architect Exam Dumps - Google Cloud Certified Questions and Answers

Question # 24

You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Firestore. Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

Options:

A.

Configure a Kubernetes autoscaling based on the subscription/push_request metric.

B.

Use the –enable- autoscaling flag when you create the Kubernetes cluster

C.

Configure a Kubernetes autoscaling based on the subscription/num_undelivered message metric.

D.

Use kubectl autoscale deployment APP_NAME –max 6 –min 2 –cpu- percent 50 to configure Kubernetes autoscaling deployment

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Question # 25

Your company has an application running on a deployment in a GKE cluster. You have a separate cluster for development, staging and production. You have discovered that the team is able to deploy a Docker image to the production cluster without first testing the deployment in development and then staging. You want to allow the team to have autonomy but want to prevent this from happening. You want a Google Cloud solution that can be implemented quickly with minimal effort. What should you do?

Options:

A.

Create a Kubernetes admission controller to prevent the container from starting if it is not approved for usage in the given environment

B.

Configure a Kubernetes lifecycle hook to prevent the container from starting if it is not approved for usage in the given environment

C.

Implement a corporate policy to prevent teams from deploying Docker image to an environment unless the Docker image was tested in an earlier environment

D.

Configure the binary authorization policies for the development, staging and production clusters. Create attestations as part of the continuous integration pipeline”

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Question # 26

You have an outage in your Compute Engine managed instance group: all instance keep restarting after 5 seconds. You have a health check configured, but autoscaling is disabled. Your colleague, who is a Linux expert, offered to look into the issue. You need to make sure that he can access the VMs. What should you do?

Options:

A.

Grant your colleague the IAM role of project Viewer

B.

Perform a rolling restart on the instance group

C.

Disable the health check for the instance group. Add his SSH key to the project-wide SSH keys

D.

Disable autoscaling for the instance group. Add his SSH key to the project-wide SSH Keys

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Question # 27

Your company wants you to build a highly reliable web application with a few public APIs as the backend. You don’t expect a lot of user traffic, but traffic could spike occasionally. You want to leverage Cloud Load Balancing, and the solution must be cost-effective for users. What should you do?

Options:

A.

Store static content such as HTML and images in Cloud CDN. Host the APIs on App Engine and store the user data in Cloud SQL.

B.

Store static content such as HTML and images in a Cloud Storage bucket. Host the APIs on a zonal Google Kubernetes Engine cluster with worker nodes in multiple zones, and save the user data in Cloud Spanner.

C.

Store static content such as HTML and images in Cloud CDN. Use Cloud Run to host the APIs and save the user data in Cloud SQL.

D.

Store static content such as HTML and images in a Cloud Storage bucket. Use Cloud Functions to host the APIs and save the user data in Firestore.

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Question # 28

For this question, refer to the Dress4Win case study.

You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

Options:

A.

Google Cloud Storage Coldline to store the data, and gsutil to access the data.

B.

Google Cloud Storage Nearline to store the data, and gsutil to access the data.

C.

Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.

D.

BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.

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Question # 29

You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload. What should you do?

Options:

A.

Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the

GCP Console.

B.

Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed

instance group for the cluster using the gcloud command.

C.

Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.

D.

Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the

cluster managed instance group from the GCP Console.

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Question # 30

For this question, refer to the Dress4Win case study.

The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?

Options:

A.

Grant the operations engineers access to use Google Cloud Shell.

B.

Configure a VPN connection to GCP to allow SSH access to the cloud VMs.

C.

Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.

D.

Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

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Question # 31

For this question, refer to the Dress4Win case study.

As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load. They want to ensure that:

• The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day

• Their administrators are notified automatically when their application reports errors.

• They can filter their aggregated logs down in order to debug one piece of the application across many hosts

Which Google StackDriver features should they use?

Options:

A.

Logging, Alerts, Insights, Debug

B.

Monitoring, Trace, Debug, Logging

C.

Monitoring, Logging, Alerts, Error Reporting

D.

Monitoring, Logging, Debug, Error Report

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Question # 32

For this question, refer to the Dress4Win case study.

As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images. Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?

Options:

A.

Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer's ID and their image files.

B.

Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer's unique ID.

C.

Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy of images.

D.

Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to their image files.

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Question # 33

For this question, refer to the Dress4Win case study.

At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

Options:

A.

Create a cron script using gsutil to copy the files to a Coldline Storage bucket.

B.

Create a cron script using gsutil to copy the files to a Regional Storage bucket.

C.

Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.

D.

Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

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Exam Name: Google Certified Professional - Cloud Architect (GCP)
Last Update: Feb 20, 2025
Questions: 275
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