Professional-Cloud-Architect Google Certified Professional - Cloud Architect (GCP) exact Exam Questions

Google Certified Professional - Cloud Architect (GCP)

Last Update 12 hours ago Total Questions : 345

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You'll find that our Professional-Cloud-Architect exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Professional-Cloud-Architect sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Certified Professional - Cloud Architect (GCP) practice test comfortably within the allotted time.

Question # 31

For this question, refer to the TerramEarth case study.

To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.

Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.

Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

Question # 32

You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud. You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

Create a Compute engine instance with CPU and Memory options similar to your application’s current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console

Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application’s current on-premises virtual machine in the app.yaml file.

Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.

Question # 33

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?

Install the latest BigQuery API client library for Python

Run your script on a new virtual machine with the BigQuery access scope enabled

Create a new service account with BigQuery access and execute your script with that user

Install the bq component for gccloud with the command gcloud components install bq.

Question # 34

Your company has announced that they will be outsourcing operations functions. You want to allow developers to easily stage new versions of a cloud-based application in the production environment and allow the outsourced operations team to autonomously promote staged versions to production. You want to minimize the operational overhead of the solution. Which Google Cloud product should you migrate to?

App Engine

GKE On-Prem

Compute Engine

Google Kubernetes Engine

Question # 35

The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

Port the application code to run on Google App Engine.

Integrate Cloud Dataflow into the application to capture real-time metrics.

Instrument the application with a monitoring tool like Stackdriver Debugger.

Select an automation framework to reliably provision the cloud infrastructure.

Deploy a continuous integration tool with automated testing in a staging environment.

Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.

Question # 36

A development team at your company has created a dockerized HTTPS web application. You need to deploy the application on Google Kubernetes Engine (GKE) and make sure that the application scales automatically.

How should you deploy to GKE?

Use the Horizontal Pod Autoscaler and enable cluster autoscaling. Use an Ingress resource to loadbalance the HTTPS traffic.

Use the Horizontal Pod Autoscaler and enable cluster autoscaling on the Kubernetes cluster. Use a

Service resource of type LoadBalancer to load-balance the HTTPS traffic.

Enable autoscaling on the Compute Engine instance group. Use an Ingress resource to load balance the HTTPS traffic.

Enable autoscaling on the Compute Engine instance group. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.

Question # 37

Your company has an application running on App Engine that allows users to upload music files and share them with other people. You want to allow users to upload files directly into Cloud Storage from their browser session. The payload should not be passed through the backend. What should you do?

1. Set a CORS configuration in the target Cloud Storage bucket where the base URL of the App

Engine application is an allowed origin.

2. Use the Cloud Storage Signed URL feature to generate a POST URL.

1. Set a CORS configuration in the target Cloud Storage bucket where the base URL of the App

Engine application is an allowed origin.

2. Assign the Cloud Storage WRITER role to users who upload files.

1. Use the Cloud Storage Signed URL feature to generate a POST URL.

2. Use App Engine default credentials to sign requests against Cloud Storage.

1. Assign the Cloud Storage WRITER role to users who upload files.

2. Use App Engine default credentials to sign requests against Cloud Storage.

Question # 38

Your company captures all web traffic data in Google Analytics 260 and stores it in BigQuery. Each country has its own dataset. Each dataset has multiple tables. You want analysts from each country

to be able to see and query only the data for their respective countries.

How should you configure the access rights?

Create a group per country. Add analysts to their respective country-groups. Create a single group

‘all_analysts’, and add all country-groups as members. Grant the ‘all-analysis’ group the IAM role of

BigQuery jobUser. Share the appropriate dataset with view access with each respective analyst country-group.

Create a group per country. Add analysts to their respective country-groups. Create a single group

‘all_analysts’, and add all country-groups as members. Grant the ‘all-analysis’ group the IAM role of

BigQuery jobUser. Share the appropriate tables with view access with each respective analyst countrygroup.

Create a group per country. Add analysts to their respective country-groups. Create a single group

‘all_analysts’, and add all country-groups as members. Grant the ‘all-analysis’ group the IAM role of

BigQuery dataViewer. Share the appropriate dataset with view access with each respective analyst

country-group.

Create a group per country. Add analysts to their respective country-groups. Create a single group

‘all_analysts’, and add all country-groups as members. Grant the ‘all-analysis’ group the IAM role of

BigQuery dataViewer. Share the appropriate table with view access with each respective analyst countrygroup.

Question # 39

You are migrating a critical, on-premises, three-tier ecommerce application to Google Cloud. The application has tightly coupled dependencies between its web, application, and database tiers. The business has strict performance and availability requirements and is concerned about the risks associated with an " all-at-once " migration. You want to follow Google-recommended practices to create a migration plan that systematically addresses application dependencies and validates post-migration performance before the final production cutover What should you do?

Redesign the application to be cloud-native using microservices before migration to eliminate dependencies and simplify workload testing.

Plan a " lift and shift " migration for all application tiers to be executed simultaneously over a single weekend to minimize downtime.

Use dependency mapping to group application components into waves, create a phased migration plan, and incorporate performance testing for each wave.

Prioritize the establishment of a high-bandwidth, low-latency Cloud Interconnect connection, and then plan to migrate the database servers first.

Question # 40

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is and would still be an optimized architecture for performance in the cloud?

Web applications deployed using App Engine standard environment

RabbitMQ deployed using an unmanaged instance group

Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types