[Sep 12, 2026] New Google Professional-Cloud-Architect Dumps with Test Engine and PDF (New Questions)
Pass Your Professional-Cloud-Architect Exam Easily - Real Professional-Cloud-Architect Practice Dump Updated
Passing the Google Professional-Cloud-Architect exam is a significant achievement for IT professionals who want to demonstrate their expertise in cloud architecture and Google Cloud technologies. It opens up a wide range of career opportunities in cloud computing, including roles such as cloud architect, cloud engineer, cloud consultant, and cloud solutions architect. Google Certified Professional - Cloud Architect (GCP) certification is recognized globally as a mark of excellence in cloud architecture and is highly regarded by employers in the IT industry.
The Google Professional Cloud Architect certification validates the individuals’ knowledge and skills required for a successful career in the domain of Cloud architecture. Specifically, this certificate demonstrates that the candidates have the expertise in designing and planning Cloud solution architecture, managing and provisioning Cloud solution infrastructure, designing for security and compliance, and more. To earn this sought-after certification, the applicants need to take a single qualifying test.
NEW QUESTION # 31
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour.
How should you design the data ingestion?
- A. Vehicles stream data directly to Google BigQuery
- B. Vehicles write data directly to Google Cloud Pub/Sub
- C. Vehicles write data directly to GCS
- D. Vehicles continue to write data using the existing system (FTP)
Answer: A
Explanation:
Streamed data is available for real-time analysis within a few seconds of the first streaming insertion into a table.
Instead of using a job to load data into BigQuery, you can choose to stream your data into BigQuery one record at a time by using the tabledata().insertAll() method. This approach enables querying data without the delay of running a load job.
Reference: https://cloud.google.com/bigquery/streaming-data-into-bigquery
NEW QUESTION # 32
Your operations team has asked you to help diagnose a performance issue in a production application that runs on Compute Engine. The application is dropping requests that reach it when under heavy load. The process list for affected instances shows a single application process that is consuming all available CPU, and autoscaling has reached the upper limit of instances. There is no abnormal load on any other related systems, including the database. You want to allow production traffic to be served again as quickly as possible. Which action should you recommend?
- A. Increase the maximum number of instances in the autoscaling group.
- B. Restart the affected instances on a staggered schedule.
- C. SSH to each instance and restart the application process.
- D. Change the autoscaling metric to agent.googleapis.com/memory/percent_used.
Answer: A
Explanation:
Reference: https://cloud.google.com/blog/products/sap-google-cloud/best-practices-for-sap-app-server- autoscaling-on-google-cloud
NEW QUESTION # 33
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. Implement routinely scheduled failovers of your databases.
- B. Choose larger instances for your database.
- C. Use a different database.
- D. Create snapshots of your database more regularly.
Answer: A
Explanation:
Explanation
https://cloud.google.com/solutions/dr-scenarios-planning-guide
NEW QUESTION # 34
Case Study: 10 - EHR Healthcare
Company overview
EHR Healthcare is a leading provider of electronic health record software to the medical industry.
EHR Healthcare provides their software as a service to multi-national medical offices, hospitals, and insurance providers.
Solution concept
Due to rapid changes in the healthcare and insurance industry, EHR Healthcare's business has been growing exponentially year over year. They need to be able to scale their environment, adapt their disaster recovery plan, and roll out new continuous deployment capabilities to update their software at a fast pace. Google Cloud has been chosen to replace their current colocation facilities.
Existing technical environment
EHR's software is currently hosted in multiple colocation facilities. The lease on one of the data centers is about to expire.
Customer-facing applications are web-based, and many have recently been containerized to run on a group of Kubernetes clusters. Data is stored in a mixture of relational and NoSQL databases (MySQL, MS SQL Server, Redis, and MongoDB).
EHR is hosting several legacy file- and API-based integrations with insurance providers on- premises. These systems are scheduled to be replaced over the next several years. There is no plan to upgrade or move these systems at the current time.
Users are managed via Microsoft Active Directory. Monitoring is currently being done via various open source tools. Alerts are sent via email and are often ignored.
Business requirements
* On-board new insurance providers as quickly as possible.
* Provide a minimum 99.9% availability for all customer-facing systems.
* Provide centralized visibility and proactive action on system performance and usage.
* Increase ability to provide insights into healthcare trends.
* Reduce latency to all customers.
* Maintain regulatory compliance.
* Decrease infrastructure administration costs.
* Make predictions and generate reports on industry trends based on provider data.
Technical requirements
* Maintain legacy interfaces to insurance providers with connectivity to both on-premises systems and cloud providers.
* Provide a consistent way to manage customer-facing applications that are container-based.
* Provide a secure and high-performance connection between on-premises systems and Google Cloud.
* Provide consistent logging, log retention, monitoring, and alerting capabilities.
* Maintain and manage multiple container-based environments.
* Dynamically scale and provision new environments.
* Create interfaces to ingest and process data from new providers.
Executive statement
Our on-premises strategy has worked for years but has required a major investment of time and money in training our team on distinctly different systems, managing similar but separate environments, and responding to outages. Many of these outages have been a result of misconfigured systems, inadequate capacity to manage spikes in traffic, and inconsistent monitoring practices. We want to use Google Cloud to leverage a scalable, resilient platform that can span multiple environments seamlessly and provide a consistent and stable user experience that positions us for future growth.
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for securely deploying workloads to Google Cloud. You also need to ensure that only verified containers are deployed using Google Cloud services. What should you do? (Choose two.)
- A. Configure Jenkins to utilize Kritis to cryptographically sign a container as part of a CI/CD pipeline.
- B. Configure Container Registry to use vulnerability scanning to confirm that there are no vulnerabilities before deploying the workload.
- C. Enable Binary Authorization on GKE, and sign containers as part of a CI/CD pipeline.
- D. Configure Container Registry to only allow trusted service accounts to create and deploy containers from the registry.
Answer: B,C
Explanation:
Binary Authorization to ensure only verified containers are deployedTo ensure deployment are secure and and consistent, automatically scan images for vulnerabilities with container analysis.
https://cloud.google.com/docs/ci-cd/overview?hl=en&skip_cache=true
NEW QUESTION # 35
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?
- A. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
- B. Google Cloud Storage, Google App Engine, Google Network Load Balancer
- C. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
- D. Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
Answer: D
NEW QUESTION # 36
Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Google-recommended practices. What should you do?
- A. Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud Storage.
- B. Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.
- C. Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.
- D. Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.
Answer: D
Explanation:
https://cloud.google.com/solutions/transferring-big-data-sets-to-gcp
NEW QUESTION # 37
Your operations team has asked you to help diagnose a performance issue in a production application that runs on Compute Engine. The application is dropping requests that reach it when under heavy load. The process list for affected instances shows a single application process that is consuming all available CPU, and autoscaling has reached the upper limit of instances. There is no abnormal load on any other related systems, including the database. You want to allow production traffic to be served again as quickly as possible. Which action should you recommend?
- A. Restart the affected instances on a staggered schedule.
- B. SSH to each instance and restart the application process.
- C. Increase the maximum number of instances in the autoscaling group.
- D. Change the autoscaling metric to agent.googleapis.com/memory/percent_used.
Answer: D
Explanation:
Reference: https://cloud.google.com/blog/products/sap-google-cloud/best-practices-for-sap-app-server- autoscaling-on-google-cloud
NEW QUESTION # 38
You have deployed several instances on Compute Engine. As a security requirement, instances cannot have a public IP address. There is no VPN connection between Google Cloud and your office, and you need to connect via SSH into a specific machine without violating the security requirements. What should you do?
- A. Create a bastion host in the network to SSH into the bastion host from your office location. From the bastion host, SSH into the desired instance.
- B. Configure Cloud NAT on the subnet where the instance is hosted. Create an SSH connection to the Cloud NAT IP address to reach the instance.
- C. Configure Identity-Aware Proxy (IAP) for the instance and ensure that you have the role of IAP- secured Tunnel User. Use the gcloud command line tool to ssh into the instance.
- D. Add all instances to an unmanaged instance group. Configure TCP Proxy Load Balancing with the instance group as a backend. Connect to the instance using the TCP Proxy IP.
Answer: C
Explanation:
https://cloud.google.com/iap/docs/using-tcp-forward ing#tunneling_with_ssh Leveraging the BeyondCorp security model. " This January, we enhanced context-aware access capabilities in Cloud Identity-Aware Proxy (IAP) to help you protect SSH and RDP access to your virtual machines (VMs)- without needing to provide your VMs with public IP addresses, and without having to set up bastion hosts. "
https://cloud. google.com/blog/products/identity-security/cloud-iap-enables-context-aware-access-to-vms-via-ssh-and-rdp-without-bastion-hosts Reference: https://cloud.google.com/solutions/connecting-securely
NEW QUESTION # 39
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?
- A. Logging, Alerts, Insights, Debug
- B. Monitoring, Logging, Debug, Error Report
- C. Monitoring, Trace, Debug, Logging
- D. Monitoring, Logging, Alerts, Error Reporting
Answer: B
NEW QUESTION # 40
For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the requirements.
Considering Dress4Win's business and technical requirements, what should you do?
- A. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Enable default storage encryption before storing files in Cloud Storage. - B. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.
Utilize Google's default encryption at rest when storing files in Cloud Storage. - C. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Encrypt data with a customer-supplied encryption key when storing files in Cloud Storage. - D. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.
Answer: D
Explanation:
Reference:
https://cloud.google.com/iam/docs/understanding-service-accounts
NEW QUESTION # 41
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?
- A. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
- B. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
- C. Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
- D. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
Answer: C
Explanation:
Explanation
Coldline Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:
Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.
Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 42
Case Study: 4 - Dress4Win case study
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.
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?
- A. Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.
- B. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
- C. Grant the operations engineers access to use Google Cloud Shell.
- D. Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.
Answer: B
NEW QUESTION # 43
Case Study: 9 - Helicopter Racing League
Company overview
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Solution concept
HRL wants to migrate their existing service to a new platform to expand their use of managed AI and ML services to facilitate race predictions. Additionally, as new fans engage with the sport, particularly in emerging regions, they want to move the serving of their content, both real-time and recorded, closer to their users.
Existing technical environment
HRL is a public cloud-first company; the core of their mission-critical applications runs on their current public cloud provider. Video recording and editing is performed at the race tracks, and the content is encoded and transcoded, where needed, in the cloud. Enterprise-grade connectivity and local compute is provided by truck-mounted mobile data centers. Their race prediction services are hosted exclusively on their existing public cloud provider. Their existing technical environment is as follows:
- Existing content is stored in an object storage service on their existing public cloud provider.
- Video encoding and transcoding is performed on VMs created for each job.
- Race predictions are performed using TensorFlow running on VMs in the current public cloud
provider.
Business requirements
HRL's owners want to expand their predictive capabilities and reduce latency for their viewers in emerging markets. Their requirements are:
- Support ability to expose the predictive models to partners.
- Increase predictive capabilities during and before races:
*Race results
*Mechanical failures
*Crowd sentiment
- Increase telemetry and create additional insights.
- Measure fan engagement with new predictions.
- Enhance global availability and quality of the broadcasts.
- Increase the number of concurrent viewers.
- Minimize operational complexity.
- Ensure compliance with regulations.
- Create a merchandising revenue stream.
Technical requirements
- Maintain or increase prediction throughput and accuracy.
- Reduce viewer latency.
- Increase transcoding performance.
- Create real-time analytics of viewer consumption patterns and engagement.
- Create a data mart to enable processing of large volumes of race data.
Executive statement
Our CEO, S. Hawke, wants to bring high-adrenaline racing to fans all around the world. We listen to our fans, and they want enhanced video streams that include predictions of events within the race (e.g., overtaking). Our current platform allows us to predict race outcomes but lacks the facility to support real-time predictions during races and the capacity to process season-long results.
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 BigQuery for its scalability and ability to add columns to a schema. Partition race data based on season.
- B. Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL.
Use separate database instances for each season. - C. Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data by season and event.
- D. Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data using season as a primary key.
Answer: A
Explanation:
https://cloud.google.com/architecture/mobile-gaming-analysis-telemetry
NEW QUESTION # 44
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?
- A. Put flat files into Google Cloud Storage.
- B. Insert data into Google Cloud SQL.
- C. Stream data into Google Cloud Datastore.
- D. Load data into Google BigQuery.
Answer: D
Explanation:
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface .
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References:
https://cloud.google.com/bigquery/
NEW QUESTION # 45
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?
- A. Google Cloud Bigtable
- B. Google cloud Datastore
- C. Google Cloud Storage
- D. Google Cloud SQL
Answer: C
Explanation:
Explanation
https://cloud.google.com/bigquery/docs/loading-data-cloud-storage
NEW QUESTION # 46
Your organization is going to migrate applications to Kubernetes and use managed cloud services to deploy applications. Your team is new to Kubernetes and wants to quickly onboard engineers. You want to reduce operational overhead, so the engineering team can focus on developing consumer requirements instead of maintaining the infrastructure. What should you do?
- A. Package your application into a Docker image, and deploy it to Kubernetes on Compute Engine.
- B. Leverage Cloud Build to create a container image, and deploy it automatically to Kubernetes on Compute Engine.
- C. Assess application and dependencies for containerization. Develop a migration strategy for deployment to GKE in Autopilot mode.
- D. Assess application and dependencies for containerization Develop a migration strategy for deployment to GKE in Standard mode.
Answer: C
Explanation:
GKE Autopilot minimizes operational overhead by fully managing node provisioning, scaling, and many cluster operational tasks, which helps a team new to Kubernetes onboard faster and stay focused on application development. Developing a containerization assessment and migration strategy for Autopilot aligns with using managed services and Google-recommended practices for reducing infrastructure management burden.
NEW QUESTION # 47
Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.
What should you do?
- A. Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other
- B. Configure the quotas for resources in the regions not being used to 0.
- C. Configure an organizational policy which constrains where resources can be deployed.
- D. Configure IAM conditions to limit what resources can be configured.
Answer: B
Explanation:
regions.
NEW QUESTION # 48
......
Google Professional-Cloud-Architect exam is a certification exam offered by Google that validates an individual's ability to design, develop, and manage robust, secure, and scalable cloud architecture solutions using Google Cloud Platform (GCP). Professional-Cloud-Architect exam is intended for professionals who have experience in cloud architecture and are seeking a certification that demonstrates their expertise in GCP.
Exams4Collection just published the Google Professional-Cloud-Architect exam dumps!: https://www.exams4collection.com/Professional-Cloud-Architect-latest-braindumps.html
For your comfort, Exams4Collection provides you the convenience of free Google Cloud Certified braindumps demo: https://drive.google.com/open?id=1Ezmr97TJgFfa-62M4Igo_3AbKTWNLsm3
