[Sep 15, 2025] Dumps Collection Professional-Cloud-Architect Test Engine Dumps Training With 282 Questions
Google Professional-Cloud-Architect Dumps - 100% Cover Real Exam Questions
Google Professional-Cloud-Architect certification exam is designed for professionals who want to validate their skills and knowledge in designing and managing solutions on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is ideal for architects, engineers, and developers who want to demonstrate their expertise in designing and deploying scalable, reliable, and secure cloud solutions. Google Certified Professional - Cloud Architect (GCP) certification exam covers a broad range of topics, including cloud architecture, infrastructure, data management, security, and compliance.
To prepare for the Google Professional-Cloud-Architect certification exam, candidates can choose from various training options such as instructor-led training, online courses, and self-paced study materials. Google Cloud Platform also provides free resources such as documentation, tutorials, and hands-on labs to help candidates gain the necessary skills and knowledge required for the exam. Passing the Google Professional-Cloud-Architect certification exam demonstrates an individual's expertise in cloud architecture and validates their ability to design and manage secure, scalable, and reliable cloud solutions using Google Cloud Platform.
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 # 55
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?
- A. Set up software based firewalls on individual VMs.
- B. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
- C. Add each tier to a different subnetwork.
- D. Add tags to each tier and set up routes to allow the desired traffic flow.
Answer: B
Explanation:
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/ Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References:
https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/
NEW QUESTION # 56
You want to automate the creation of a managed instance group and a startup script to install the OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?
- A. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.
- B. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
- C. Use Puppet to create the managed instance group and install the OS package dependencies.
- D. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
Answer: A
NEW QUESTION # 57
You need to develop procedures to test a disaster plan for a mission-critical application. You want to use Google-recommended practices and native capabilities within GCP.
What should you do?
- A. Use gcloud scripts to automate service provisioning. Use Stackdriver to monitor and debug your tests.
- B. Use gcloud scripts to automate service provisioning. Use Activity Logs monitor and debug your tests.
- C. Use Deployment Manager to automate service provisioning. Use Activity Logs to monitor and debug your tests.
- D. Use Deployment Manager to automate provisioning. Use Stackdriver to monitor and debug your tests.
Answer: C
NEW QUESTION # 58
Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data.
What should you do?
- A. Build SAML 2.0 SSO compatibility into your authentication system
- B. Create secondary credentials for each dealer that can be given to the trusted third party
- C. Restrict data access based on the source IP address of the partner systems
- D. Build or leverage an OAuth-compatible access control system
Answer: D
Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
Reference: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
NEW QUESTION # 59
For this question, refer to the TerramEarth case study.
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 write data directly to GCS.
- B. Vehicles write data directly to Google Cloud Pub/Sub.
- C. Vehicles stream data directly to Google BigQuery.
- D. Vehicles continue to write data using the existing system (FTP).
Answer: C
Explanation:
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.
References: https://cloud.google.com/bigquery/streaming-data-into-bigquery
NEW QUESTION # 60
Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords. What authentication strategy should they use?
- A. Provision users in Google using the Google Cloud Directory Sync tool.
- B. Use G Suite Password Sync to replicate passwords into Google.
- C. Ask users to set their Google password to match their corporate password.
- D. Federate authentication via SAML 2.0 to the existing Identity Provider.
Answer: B
NEW QUESTION # 61
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet.
What should you do?
- A. Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on-premises database.
- B. Deploy your application on App Engine standard environment and use Cloud VPN to limit access to the on-premises database.
- C. Deploy your application on App Engine standard environment and use App Engine firewall rules to limit access to the open on-premises database.
- D. Deploy your application on App Engine flexible environment and use App Engine firewall rules to limit access to the on-premises database.
Answer: A
NEW QUESTION # 62
You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted.
What should you do?
- A. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
- B. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
- C. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.
- D. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
Answer: C
Explanation:
Running Shutdown Scripts: Create and run shutdown scripts that execute commands right before an instance is terminated or restarted, on a best-effort basis. This is useful if you rely on automated scripts to start up and shut down instances, allowing instances time to clean up or perform tasks, such as exporting logs, or syncing with other systems.
https://cloud.google.com/compute/docs/shutdownscript
To setup Shutdown Scripts, go to GCP console and follow the steps:
Compute Engine -> VM instance -> Create Instance -> (Expand) Management, disks, networking, SSH keys Enter the key "shutdown-script" and proper value
NEW QUESTION # 63
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 Storage
- B. Google Cloud Bigtable
- C. Google Cloud SQL
- D. Google cloud Datastore
Answer: B
Explanation:
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
Incorrect Answers:
C: Google Cloud Storage is a scalable, fully-managed, highly reliable, and cost-efficient object / blob store.
Is good for:
Images, pictures, and videos
Objects and blobs
Unstructured data
D: Google Cloud Datastore is a scalable, fully-managed NoSQL document database for your web and mobile applications.
Is good for:
Semi-structured application data
Hierarchical data
Durable key-value data
Common workloads:
User profiles
Product catalogs
Game state
References: https://cloud.google.com/storage-options/
NEW QUESTION # 64
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?
- A. Use the Linux dd and netcat command to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
- B. Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file for the root disk.
- C. Create an image file from the root disk with Linux dd command, create a new disk from the image file, and use it to create a new virtual machine instance in the US-East region
- D. Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
Answer: B
Explanation:
https://stackoverflow.com/questions/36441423/migrate-google-compute-engine-instance-to-a-different-region
NEW QUESTION # 65
You deploy your custom java application to google app engine.
It fails to deploy and gives you the following stack trace:
- A. Digitally sign all of your JAR files and redeploy your application.
- B. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
- C. Upload missing JAR files and redeploy your application
Answer: A
NEW QUESTION # 66
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)
- A. Begin packaging their game backend artifacts in container images and running them on Google Kubernetes Engine to improve the availability to scale up or down based on game activity.
- B. Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
- C. Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.
- D. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.
- E. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
Answer: D,E
NEW QUESTION # 67
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 multi-zone managed instance group. Use an L4 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 single-zone managed instance group. Use an L7 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: A
Explanation:
Explanation/Reference:
TerramEarth, A
Testlet 1
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: about 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in
100 countries. Their mission is to build products that make their customers more productive.
Company background
TerramEarth was formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years, trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, Terram Earth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
* Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
* Support the dealer network with more data on how their customers use their equipment to better position new products and services
* Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast- growing agricultural business - to create compelling joint offerings for their customers.
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly, and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment.
With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
NEW QUESTION # 68
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. 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.
- B. 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.
- C. 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.
- 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: A
Explanation:
https://cloud.google.com/iap/docs/using-tcp-forwarding#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-ss Reference: https://cloud.google.com/solutions/connecting-securely
NEW QUESTION # 69
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?
- A. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing. - B. Perform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases. - C. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
Restart the pods to automatically deploy new production releases. - D. Perform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.
Answer: C
Explanation:
https://cloud.google.com/compute/docs/instance-templates
NEW QUESTION # 70
Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation,
50% of web application deployed in the same
nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers
- A. Identify whether a live migration event of the failed server occurred, using in the activity log.
- B. Use Stackdriver Logging to search for the module log entries.
- C. Use gcloud or Cloud Console to connect to the serial console and observe the logs.
- D. Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.
- E. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.
- F. Read the debug GCE Activity log using the API or Cloud Console.
Answer: B,C,E
Explanation:
https://www.flexera.com/blog/cloud/2013/12/google-compute-engine-live-migration-passes-the-test/
"With live migration, the virtual machines are moved without any downtime or noticeable service degradation"
NEW QUESTION # 71
You need to migrate Hadoop jobs for your company's Data Science team without modifying the underlying infrastructure. You want to minimize costs and infrastructure management effort. What should you do?
- A. Create a Dataproc cluster using standard worker instances.
- B. Manually deploy a Hadoop cluster on Compute Engine using preemptible instances.
- C. Manually deploy a Hadoop cluster on Compute Engine using standard instances.
- D. Create a Dataproc cluster using preemptible worker instances.
Answer: D
Explanation:
Reference: https://cloud.google.com/architecture/hadoop/hadoop-gcp-migration-jobs
NEW QUESTION # 72
You want to make a copy of a production Linux virtual machine in the US-Central region.
You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?
- A. Use the Linux dd and netcat command to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
- B. Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file for the root disk.
- C. Create an image file from the root disk with Linux dd command, create a new disk from the image file, and use it to create a new virtual machine instance in the US-East region
- D. Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
Answer: B
NEW QUESTION # 73
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