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Google Professional-Cloud-Architect Exam is a certification program designed for IT professionals who have experience in designing and managing cloud solutions using Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification validates the knowledge and skills required to design, develop, and manage cloud solutions using GCP technologies. It is intended for individuals who are looking to advance their careers in cloud architecture and demonstrate their expertise in Google Cloud technologies.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q73-Q78):

NEW QUESTION # 73
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

A. Compress individual files.
Name files with serverName-EventSequence.
Save files to one bucket
Set custom metadata headers for each object after saving.
B. Append metadata to file body.
Compress individual files.
Name files with serverName-Timestamp.
Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket
C. Batch every 10,000 events with a single manifest file for metadata.
Compress event files and manifest file into a single archive file.
Name files using serverName-EventSequence.
Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.
D. Append metadata to file body.
Compress individual files.
Name files with a random prefix pattern.
Save files to one bucket

Answer: B

NEW QUESTION # 74
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?

A. Create a new service account with BigQuery access and execute your script with that user
B. Install the bq component for gccloud with the command gcloud components install bq.
C. Install the latest BigQuery API client library for Python
D. Run your script on a new virtual machine with the BigQuery access scope enabled

Answer: B

NEW QUESTION # 75
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers

A. Google Kubernetes Engine with containers
B. Compute Engine with custom instance types
C. Google App Engine Standard Environment
D. Compute Engine with managed instance groups
E. Compute Engine with containers

Answer: A,C

Explanation:
Explanation
B: With Container Engine, Google will automatically deploy your cluster for you, update, patch, secure the nodes.
Kubernetes Engine's cluster autoscaler automatically resizes clusters based on the demands of the workloads you want to run.
C: Solutions like Datastore, BigQuery, AppEngine, etc are truly NoOps.
App Engine by default scales the number of instances running up and down to match the load, thus providing consistent performance for your app at all times while minimizing idle instances and thus reducing cost.
Note: At a high level, NoOps means that there is no infrastructure to build out and manage during usage of the platform. Typically, the compromise you make with NoOps is that you lose control of the underlying infrastructure.
References:
https://www.quora.com/How-well-does-Google-Container-Engine-support-Google-Cloud-Platform%E2%80%99

NEW QUESTION # 76
An application development team has come to you for advice.They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. What approach should you recommend?

A. Develop the application for App Engine standard environment
B. Use a Managed Instance Group when deploying to Compute Engine
C. Develop the application for App Engine Flexible environment using a custom runtime
D. Develop an application with containers, and deploy to Google Kubernetes Engine (GKE)

Answer: A

NEW QUESTION # 77
For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand and interpret the predictions. What should you do?

A. Use Google Cloud's operations suite.
B. Use Explainable AI.
C. Use Vision AI.
D. Use Jupyter Notebooks.

Answer: B

Explanation:
Reference: https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/preparing-metadata

NEW QUESTION # 78
......

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Professional-Cloud-Architect Exam Collection Pdf - Study Professional-Cloud-Architect Reference

100% Pass Quiz 2025 Professional-Cloud-Architect: Google Certified Professional - Cloud Architect (GCP) – Reliable Exam Collection Pdf

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q73-Q78):

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