Google Professional-Cloud-Architect Exam Questions (Updated 2026) 100% Real Question Answers
Pass Google Professional-Cloud-Architect Exam Quickly With Lead1Pass
Career Benefits
The Google Professional Cloud Architect certification demonstrates the ability of the specialists to design, develop, and manage robust, scalable, secure, highly available, and dynamic solutions to meet the business objectives. Earning this certificate allows the successful candidates to apply for Cloud architect jobs in a variety of companies all over the world. Some of the titles that these individuals can consider include a Cloud Infrastructure Engineer, a Cloud Operations Engineer, a Google Cloud Platform Data Architect, a Google Cloud Platform Solutions Architect, a Google Cloud Senior Analyst, and a Google Cloud Platform Data Warehouse Architect, among others. Another advantage associated with this certification is that it significantly boosts your earning potential. In 2020, this Google qualification was named the highest paying IT certificate. The average salary that you can count on holding it is $139,529 per annum.
The Google Professional-Cloud-Architect exam consists of multiple-choice and multiple-select questions that cover a wide range of topics, including cloud computing architecture, infrastructure design, data storage and management, security, compliance, and pricing. To pass the exam, candidates must demonstrate a deep understanding of these topics and be able to apply their knowledge to real-world scenarios. Successful completion of the exam not only demonstrates the candidate's proficiency in designing and implementing cloud solutions on Google Cloud, but also enhances their credibility as a cloud architect and opens up new career opportunities.
NEW QUESTION # 100
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?
- A. In the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
- B. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
- C. In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk.
- D. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
- E. In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux.
Answer: B
NEW QUESTION # 101
A large healthcare provider's primary electronic health record (EHR) application runs on Compute Engine instances with a Cloud SQL for PostgreSQL database, all located in the us-west1 region.
A new regulatory mandate requires you to implement and document a business continuity plan (BCP). This plan must ensure that the EHR application can be fully recovered and operational in a different geographical region with a recovery time objective (RTO) of two hours and a recovery point objective (RPO) of 15 minutes. You need to design a disaster recovery strategy that meets these strict BCP requirements. What should you do?
- A. Deploy active managed instance groups (MIGs) in both us-west1 and us-east1, fronted by a global external HTTP(S) Load Balancer. For the database, use a cross-region read replica in us- east1, and rely on load balancer health checks to automatically fail over all traffic during an outage.
- B. Use Terraform to define the application's compute infrastructure. During a disaster, configure the Cloud SQL database in us-west1 to use a cross-region read replica in us-east1, build the environment in us-east1, and promote the replica.
- C. Deploy a regional MIG in us-west1 for high availability, and rely on the Google Cloud SLA to ensure the region remains online.
- D. Take daily snapshots of the Compute Engine disks and Cloud SQL database. Copy these snapshots to a Cloud Storage bucket in us-east1. During a disaster, manually restore the virtual machines (VMs) and database from the latest snapshots
Answer: A
Explanation:
Running active managed instance groups in two regions behind a global load balancer ensures the application layer can fail over immediately to a healthy region. Using a cross-region Cloud SQL read replica that is continuously replicated meets the 15-minute RPO requirement, and promoting the replica during an outage enables recovery well within the 2-hour RTO. This design provides a documented, production-ready disaster recovery architecture that satisfies strict business continuity requirements.
NEW QUESTION # 102
Case Study: 8 - Mountkirk Games, C
Company overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.
Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.
Solution concept
Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game's backend on Google Kubernetes Engine so they can scale rapidly and use Google's global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.
Existing technical environment
The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project.
There are also separate environments for development and testing.
Business requirements
- Support multiple gaming platforms.
- Support multiple regions.
- Support rapid iteration of game features.
- Minimize latency.
- Optimize for dynamic scaling.
- Use managed services and pooled resources.
- Minimize costs.
Technical requirements
- Dynamically scale based on game activity.
- Publish scoring data on a near real-time global leaderboard.
- Store game activity logs in structured files for future analysis.
- Use GPU processing to render graphics server-side for multi-platform support.
- Support eventual migration of legacy games to this new platform.
Executive statement
Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before.
This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles. Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality.
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.
Answer: C
Explanation:
We have to take the users perspective (according to the given question and also to understand what the user expects from us).
Considering that our requirement is to minimize the latency, we have to choose c) - that means we are striving for no downtime of the service.
NEW QUESTION # 103
For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?
- A. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.
- B. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.
- C. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
- D. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
Answer: D
Explanation:
Reference:
https://cloud.google.com/solutions/gaming/cloud-game-infrastructure#dedicated_game_server
NEW QUESTION # 104
For this question, refer to the JencoMart case study
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you take to diagnose the problem? Choose 3 answers
- A. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate.
- B. Delete the virtual machine (VM) and disks and create a new one.
- C. Connect the machine to another network with very simple firewall rules and investigate.
- D. Take a snapshot of the disk and connect to a new machine to investigate.
- E. Delete the instance, attach the disk to a new VM, and investigate.
- F. Check inbound firewall rules for the network the machine is connected to.
Answer: A,D,F
Explanation:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh D: Handling "Unable to connect on port 22" error message Possible causes include:
There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
References:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser
NEW QUESTION # 105
What is the best practice for separating responsibilities and access for production and development environments?
- A. Both environments use the same project, just note which resources are in use by which group.
- B. Separate project for each environment, each team only has access to their project.
- C. Both environments use the same project, but different VPC's.
- D. Separate project for each environment, both teams have access to both projects.
Answer: B
NEW QUESTION # 106
Your company wants to migrate their 10-TB on-premises database export into Cloud Storage You want to minimize the time it takes to complete this activity, the overall cost and database load. The bandwidth between the on-premises environment and Google Cloud is 1 Gbps. You want to follow Google-recommended practices What should you do?
- A. Use the Data Transfer appliance to perform an offline migration
- B. Use a commercial partner ETL solution to extract the data from the on-premises database and upload it into Cloud Storage
- C. Develop a Dataflow job to read data directly from the database and write it into Cloud Storage
- D. Compress the data and upload it with gsutii -m to enable multi-threaded copy
Answer: A
Explanation:
The Data Transfer appliance is a Google-provided hardware device that can be used to transfer large amounts of data from on-premises environments to Cloud Storage. It is suitable for scenarios where the bandwidth between the on-premises environment and Google Cloud is low or insufficient, and the data size is large. The Data Transfer appliance can minimize the time it takes to complete the migration, the overall cost and database load, by avoiding network bottlenecks and reducing bandwidth consumption. The Data Transfer appliance also encrypts the data at rest and in transit, ensuring data security and privacy. The other options are not optimal for this scenario, because they either require a high-bandwidth network connection (B, C, D), or incur additional costs and complexity (B, C). References:
https://cloud.google.com/data-transfer-appliance/docs/overview
https://cloud.google.com/blog/products/storage-data-transfer/introducing-storage-transfer-service-for-on-
NEW QUESTION # 107
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
- A. Google Cloud SQL
- B. Google Cloud Bigtable
- C. Google Cloud Storage
- D. Google BigQuery
Answer: B
Explanation:
Explanation
It is time-series data, So Big Table.
https://cloud.google.com/bigtable/docs/schema-design-time-series
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs
References: https://cloud.google.com/storage-options/
NEW QUESTION # 108
Case Study: 5 - Dress4win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster.
Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04.
Databases:
- MySQL. 1 server for user data, inventory, static data:
- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
- Redis 3 server cluster for metadata, social graph, caching. Each server is:
- Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
- 40 Web Application servers providing micro-services based APIs and static content.
- Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
- 20 Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
- 3 RabbitMQ servers for messaging, social notifications, and events:
- 8 core CPUs
- 32GB of RAM
- Miscellaneous servers:
- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
- iSCSI for VM hosts
- Fiber channel SAN - MySQL databases
- 1 PB total storage; 400 TB available
- NAS - image storage, logs, backups
- 100 TB total storage; 35 TB available
Business Requirements
- Build a reliable and reproducible environment with scaled parity of production.
- Improve security by defining and adhering to a set of security and Identity and Access
Management (IAM) best practices for cloud.
- Improve business agility and speed of innovation through rapid provisioning of new resources.
- Analyze and optimize architecture for performance in the cloud.
Technical Requirements
- Easily create non-production environment in the cloud.
- Implement an automation framework for provisioning resources in cloud.
- Implement a continuous deployment process for deploying applications to the on-premises
datacenter or cloud.
- Support failover of the production environment to cloud during an emergency.
- Encrypt data on the wire and at rest.
- Support multiple private connections between the production data center and cloud
environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?
- A. Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.
- B. Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.
- C. Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.
- D. Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.
Answer: A
Explanation:
1. Use Cloud Marketplace to provision Tomcat and Nginx on Google Compute Engine.
2. Replace MySQL with Cloud SQL for MySQL.
3. Use the Deployment Manager to provision Jenkins on Google Compute Engine. is the right answer.
As explained above, you would use Cloud SQL to replace MySQL. For the other requirements, i.e. Nginx/Tomcat and Jenkins, you can deploy these through Cloud Deployment Manager by using custom images.
Ref: https://cloud.google.com/compute/docs/images
Using the same custom images every time ensures that your environments are "reliable and reproducible" and you achieve "rapid provisioning".
NEW QUESTION # 109
The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk. What should they change to get better performance from this system?
- A. Migrate their performance metrics warehouse to BigQuery.
- B. Dynamically resize the SSD persistent disk to 500 GB.
- C. Modify all of their batch jobs to use bulk inserts into the database.
- D. Create a new virtual machine running PostgreSQL.
- E. Increase the virtual machine's memory to 64 GB.
Answer: D
NEW QUESTION # 110
For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? (Choose 3 answers.)
- A. A single VPN tunnel, which limits throughput
- B. A copy command that is not suited to operate over long distances
- C. Complicated internet connectivity between the on-premises infrastructure and GCP
- D. A tier of Google Cloud Storage that is not suited for this task
- E. Fewer virtual machines (VMs) in GCP than on-premises machines
- F. A separate storage layer outside the VMs, which is not suited for this task
Answer: B,E,F
NEW QUESTION # 111
Your company is building a new architecture to support its data-centric business focus. You are responsible for setting up the network. Your company's mobile and web-facing applications will be deployed on-premises, and all data analysis will be conducted in GCP. The plan is to process and load 7 years of archived .csv files totaling 900 TB of data and then continue loading 10 TB of data daily. You currently have an existing 100-MB internet connection.
What actions will meet your company's needs?
- A. Compress and upload both achieved files and files uploaded daily using the qsutil -m option.
- B. Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish a connection with Google using a Dedicated Interconnect or Direct Peering connection and use it to upload files daily.
- C. Lease a Transfer Appliance, upload archived files to it, and send it to Google to transfer archived data to Cloud Storage. Establish a Cloud VPN Tunnel to VPC networks over the public internet, and compress and upload files daily.
- D. Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish one Cloud VPN Tunnel to VPC networks over the public internet, and compares and upload files daily using the gsutil -m option.
Answer: A
NEW QUESTION # 112
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?
- A. Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.
- B. Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
- C. From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.
- D. Use the gcloud recommender command to list the idle virtual machine instances.
Answer: D
Explanation:
Reference: https://cloud.google.com/compute/docs/instances/viewing-and-applying-idle-vm-recommendations
NEW QUESTION # 113
Case Study: 4 - Dress4Win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* Business Requirements
* Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
Dress4Win has end-to-end tests covering 100% of their endpoints.
They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?
- A. They should add additional unit tests and production scale load tests on their cloud staging environment.
- B. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.
- C. They should enable Google Stackdriver Debugger on the application code to show errors in the code.
- D. They should add canary tests so developers can measure how much of an impact the new release causes to latency.
Answer: A
NEW QUESTION # 114
Case Study: 4 - Dress4Win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
Redis - metadata, social graph, caching
Application servers:
Tomcat - Java micro-services
Nginx - static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
NAS - image storage, logs, backups
Apache Hadoop/Spark servers:
Data analysis
Real-time trending calculations
MQ servers:
Messaging
Social notifications
Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
Dress4Win has end-to-end tests covering 100% of their endpoints.
They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?
- A. They should add additional unit tests and production scale load tests on their cloud staging environment.
- B. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.
- C. They should enable Google Stackdriver Debugger on the application code to show errors in the code.
- D. They should add canary tests so developers can measure how much of an impact the new release causes to latency.
Answer: A
NEW QUESTION # 115
You are using Cloud CDN to deliver static HTTP(S) website content hosted on a Compute Engine instance group. You want to improve the cache hit ratio.
What should you do?
- A. Replicate the static content in a Cloud Storage bucket. Point CloudCDN toward a load balancer on that bucket.
- B. Customize the cache keys to omit the protocol from the key.
- C. Make sure the HTTP(S) header "Cache-Region" points to the closest region of your users.
- D. Shorten the expiration time of the cached objects.
Answer: B
Explanation:
Reference:
https://cloud.google.com/cdn/docs/bestpractices#
using_custom_cache_keys_to_improve_cache_hit_ratio
NEW QUESTION # 116
A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:
Be based on open-source technology for cloud portability
Dynamically scale compute capacity based on demand
Support continuous software delivery
Run multiple segregated copies of the same application stack
Deploy application bundles using dynamic templates
Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?
- A. Google Compute Engine and Cloud Deployment Manager
- B. Google Container Engine and Cloud Load Balancing
- C. Google Compute Engine, Jenkins, and Cloud Load Balancing
- D. Google Container Engine, Jenkins, and Helm
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Jenkins is an open-source automation server that lets you flexibly orchestrate your build, test, and deployment pipelines. Kubernetes Engine is a hosted version of Kubernetes, a powerful cluster manager and orchestration system for containers.
When you need to set up a continuous delivery (CD) pipeline, deploying Jenkins on Kubernetes Engine provides important benefits over a standard VM-based deployment Incorrect Answers:
A: Helm is a tool for managing Kubernetes charts. Charts are packages of pre-configured Kubernetes resources.
Use Helm to:
Find and use popular software packaged as Kubernetes charts
Share your own applications as Kubernetes charts
Create reproducible builds of your Kubernetes applications
Intelligently manage your Kubernetes manifest files
Manage releases of Helm packages
References: https://cloud.google.com/solutions/jenkins-on-kubernetes-engine
NEW QUESTION # 117
Your company recently acquired a company that has infrastructure in Google Cloud. Each company has its own Google Cloud organization Each company is using a Shared Virtual Private Cloud (VPC) to provide network connectivity tor its applications Some of the subnets used by both companies overlap In order for both businesses to integrate, the applications need to have private network connectivity. These applications are not on overlapping subnets. You want to provide connectivity with minimal re-engineering. What should you do?
- A. Set up a Cloud VPN gateway in each Shared VPC and peer Cloud VPNs
- B. Set up VPC peering and peer each Shared VPC together
- C. Migrate the protects from the acquired company into your company's Google Cloud organization Re launch the instances in your companies Shared VPC
- D. Configure SSH port forwarding on each application to provide connectivity between applications i the different Shared VPCs
Answer: D
NEW QUESTION # 118
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?
- A. Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.
- B. Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.
- C. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
- D. Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
Answer: D
NEW QUESTION # 119
Your company acquired a healthcare startup and must retain its customers' medical information for up to 4 more years, depending on when it was created. Your corporate policy is to securely retain this data, and then delete it as soon as regulations allow.
Which approach should you take?
- A. Anonymize the data using the Cloud Data Loss Prevention API and store it indefinitely.
- B. Store the data in Google Drive and manually delete records as they expire.
- C. Store the data in Cloud Storage and run a nightly batch script that deletes all expired data.
- D. Store the data in Cloud Storage and use lifecycle management to delete files when they expire.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION # 120
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?
- A. Use a different database.
- B. Choose larger instances for your database.
- C. Implement routinely scheduled failovers of your databases.
- D. Create snapshots of your database more regularly.
Answer: C
Explanation:
Reference:
https://cloud.google.com/solutions/dr-scenarios-planning-guide
NEW QUESTION # 121
You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company's web hosting platform. Improvement to the QA/Test processes accomplished an 80% reduction. Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers
- A. Replace the QA environment with canary releases.
- B. Fragment the monolithic platform into microservices.
- C. Introduce a green-blue deployment model.
- D. Replace the platform's relational database systems with a NoSQL database.
- E. Reduce the platform's dependency on relational database systems.
Answer: B,C
NEW QUESTION # 122
Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying
some applications quickly, as is. They have asked for your recommendation.
What should you advise?
- A. Identify self-contained applications with external dependencies as a first move to the cloud.
- B. Identify enterprise applications with internal dependencies and recommend these as a first move to the
cloud. - C. Suggest moving their in-house databases to the cloud and continue serving requests to on-premise
applications. - D. Recommend moving their message queuing servers to the cloud and continue handling requests to on-
premise applications.
Answer: C
NEW QUESTION # 123
Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used. How should you design your architecture?
- A. Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data.
- B. Create separate projects that only process credit card data.
- C. Create a tokenizer service and store only tokenized data.
- D. Create separate subnetworks and isolate the components that process credit card data.
- E. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.
Answer: C
Explanation:
Reference:
https://cloud.google.com/solutions/pci-dss-compliance-in-gcp
NEW QUESTION # 124
......
To prepare for the GCP exam, candidates can take advantage of a range of resources available online. Google offers a range of training programs, including online courses, tutorials, and hands-on labs, to help candidates build their knowledge and skills in GCP. Additionally, third-party training providers offer courses and study materials that can help candidates prepare for the exam.
Real Google Professional-Cloud-Architect Exam Questions [Updated 2026]: https://crucialexams.lead1pass.com/Google/Professional-Cloud-Architect-practice-exam-dumps.html