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Google Certified Professional - Cloud Architect (GCP)

Last Update 12 hours ago Total Questions : 347

The Google Certified Professional - Cloud Architect (GCP) content is now fully updated, with all current exam questions added 12 hours ago. Deciding to include Professional-Cloud-Architect practice exam questions in your study plan goes far beyond basic test preparation.

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 # 21

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 Explainable AI.

B.

Use Vision AI.

C.

Use Google Cloud’s operations suite.

D.

Use Jupyter Notebooks.

Question # 22

For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective

approach for storing their race data such as telemetry. They want to keep all historical records, train models

using only the previous season ' s data, and plan for data growth in terms of volume and information collected.

You need to propose a data solution. Considering HRL business requirements and the goals expressed by

CEO S. Hawke, what should you do?

A.

Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data

by season and event.

B.

Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data

using season as a primary key.

C.

Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on

season.

D.

Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Use

separate database instances for each season.

Question # 23

Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.

What should you do?

A.

Configure an organizational policy which constrains where resources can be deployed.

B.

Configure IAM conditions to limit what resources can be configured.

C.

Configure the quotas for resources in the regions not being used to 0.

D.

Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other

regions.

Question # 24

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.

Which two steps should be part of their migration plan? (Choose two.)

A.

Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.

B.

Write a schema migration plan to denormalize data for better performance in BigQuery.

C.

Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.

D.

Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.

E.

Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.

Question # 25

For this question, refer to the Helicopter Racing League (HRL) case study. Your team is in charge of creating a

payment card data vault for card numbers used to bill tens of thousands of viewers, merchandise consumers,

and season ticket holders. You need to implement a custom card tokenization service that meets the following

requirements:

• It must provide low latency at minimal cost.

• It must be able to identify duplicate credit cards and must not store plaintext card numbers.

• It should support annual key rotation.

Which storage approach should you adopt for your tokenization service?

A.

Store the card data in Secret Manager after running a query to identify duplicates.

B.

Encrypt the card data with a deterministic algorithm stored in Firestore using Datastore mode.

C.

Encrypt the card data with a deterministic algorithm and shard it across multiple Memorystore instances.

D.

Use column-level encryption to store the data in Cloud SQL.

Question # 26

You need to optimize batch file transfers into Cloud Storage for Mountkirk Games’ new Google Cloud solution.

The batch files contain game statistics that need to be staged in Cloud Storage and be processed by an extract

transform load (ETL) tool. What should you do?

A.

Use gsutil to batch move files in sequence.

B.

Use gsutil to batch copy the files in parallel.

C.

Use gsutil to extract the files as the first part of ETL.

D.

Use gsutil to load the files as the last part of ETL.

Question # 27

Your development team has created a mobile game app. You want to test the new mobile app on Android and

iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective. What

should you do?

A.

Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.

B.

Create Android and iOS VMs on Google Cloud, install the mobile app on the VMs, and test the mobile app.

C.

Create Android and iOS containers on Google Kubernetes Engine (GKE), install the mobile app on the

containers, and test the mobile app.

D.

Upload your mobile app with different configurations to Firebase Hosting and test each configuration.

Question # 28

Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily.

You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user’s

perspective. What should you do?

A.

Create CPU Utilization and Request Latency as service level indicators.

B.

Create GKE CPU Utilization and Memory Utilization as service level indicators.

C.

Create Request Latency and Error Rate as service level indicators.

D.

Create Server Uptime and Error Rate as service level indicators.

Question # 29

You need to implement a network ingress for a new game that meets the defined business and technical

requirements. Mountkirk Games wants each regional game instance to be located in multiple Google Cloud

regions. What should you do?

A.

Configure a global load balancer connected to a managed instance group running Compute Engine

instances.

B.

Configure kubemci with a global load balancer and Google Kubernetes Engine.

C.

Configure a global load balancer with Google Kubernetes Engine.

D.

Configure Ingress for Anthos with a global load balancer and Google Kubernetes Engine.

Question # 30

You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game

programmatic access to a legacy game ' s Firestore database. Access should be as restricted as possible. What

should you do?

A.

Create a service account (SA) in the legacy game ' s Google Cloud project, add this SA in the new game ' s IAM page, and then give it the Firebase Admin role in both projects

B.

Create a service account (SA) in the legacy game ' s Google Cloud project, add a second SA in the new game ' s IAM page, and then give the Organization Admin role to both SAs

C.

Create a service account (SA) in the legacy game ' s Google Cloud project, give it the Firebase Admin role, and then migrate the new game to the legacy game ' s project.

D.

Create a service account (SA) in the lgacy game ' s Google Cloud project, give the SA the Organization Admin rule and then give it the Firebase Admin role in both projects

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