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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Manage and provision the solution infrastructure	- Provision compute, storage, and network resources - Automate infrastructure deployment
Analyze and optimize technical and business processes	- Monitor, log, and optimize system performance - Optimize cost and resource usage
Manage implementations of cloud architecture	- Manage deployment and production systems - Ensure solution reliability and operational excellence
Design and plan a cloud solution architecture	- Design for reliability, scalability, and availability - Plan security and compliance requirements - Design Google Cloud solutions based on business requirements
Design for security and compliance	- Configure data protection and encryption - Implement identity and access management (IAM)

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Quiz 2026 Google High-quality Professional-Cloud-Architect: Latest Google Certified Professional - Cloud Architect (GCP) Test Testking

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q224-Q229):

NEW QUESTION # 224
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. Lease a Transfer Appliance, upload archived files to 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.
B. Lease a Transfer Appliance, upload archived files to 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 compress and upload files daily using the gsutil-m option.
C. Compress and upload both archived files and files uploaded daily using the gsutil -moption.
D. 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.

Answer: A

NEW QUESTION # 225
Case Study: 11 - TerramEarth
Company overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. They currently have over 500 dealers and service centers in 100 countries.
Their mission is to build products that make their customers more productive.
Solution concept
There are 2 million TerramEarth vehicles in operation currently, and we see 20% yearly growth.
Vehicles collect telemetry data from many sensors during operation. A small subset of critical data is transmitted from the vehicles in real time to facilitate fleet management. The rest of the sensor data is collected, compressed, and uploaded daily when the vehicles return to home base.
Each vehicle usually generates 200 to 500 megabytes of data per day.
Existing technical environment
TerramEarth's vehicle data aggregation and analysis infrastructure resides in Google Cloud and serves clients from all around the world. A growing amount of sensor data is captured from their two main manufacturing plants and sent to private data centers that contain their legacy inventory and logistics management systems. The private data centers have multiple network interconnects configured to Google Cloud. The web frontend for dealers and customers is running in Google Cloud and allows access to stock management and analytics.
Business requirements
- Predict and detect vehicle malfunction and rapidly ship parts to dealerships for just-in-time repair where possible.
- Decrease cloud operational costs and adapt to seasonality.
- Increase speed and reliability of development workflow.
- Allow remote developers to be productive without compromising code or data security.
- Create a flexible and scalable platform for developers to create custom API services for dealers and partners.
Technical requirements
- Create a new abstraction layer for HTTP API access to their legacy systems to enable a gradual move into the cloud without disrupting operations.
- Modernize all CI/CD pipelines to allow developers to deploy container-based workloads in highly scalable environments.
- Allow developers to run experiments without compromising security and governance requirements.
- Create a self-service portal for internal and partner developers to create new projects, request resources for data analytics jobs, and centrally manage access to the API endpoints.
- Use cloud-native solutions for keys and secrets management and optimize for identity-based access.
- Improve and standardize tools necessary for application and network monitoring and troubleshooting.
Executive statement
Our competitive advantage has always been our focus on the customer, with our ability to provide excellent customer service and minimize vehicle downtimes.
After moving multiple systems into Google Cloud, we are seeking new ways to provide best-in- class online fleet management services to our customers and improve operations of our dealerships. Our 5-year strategic plan is to create a partner ecosystem of new products by enabling access to our data, increasing autonomous operation capabilities of our vehicles, and creating a path to move the remaining legacy systems to the cloud.
You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google's recommended best practices. What should you do?

A. Make func_query 'Require authentication' and only accept internal traffic. Create those two functions in the same VPC. Create an ingress firewall rule for func_query to only allow traffic from func_display.
B. Create a token and pass it in as an environment variable to func_display. When invoking func_query, include the token in the request. Pass the same token to func_query and reject the invocation if the tokens are different.
C. Make func_query 'Require authentication.' Create a unique service account and associate it to func_display. Grant the service account invoker role for func_query. Create an id token in func_display and include the token to the request when invoking func_query.
D. Create those two functions in the same project and VPC. Make func_query only accept internal traffic. Create an ingress firewall for func_query to only allow traffic from func_display. Also, make sure both functions use the same service account.

Answer: C

Explanation:
Authentication function to function calls. Add calling function service account as a member on the receiving function and grant that member the cloud functions invoker
https://cloud.google.com/functions/docs/securing/authenticating

NEW QUESTION # 226
Your web application uses Google Kubernetes Engine to manage several workloads. One workload
requires a consistent set of hostnames even after pod scaling and relaunches.
Which feature of Kubernetes should you use to accomplish this?

A. Role-based access control
B. StatefulSets
C. Persistent Volumes
D. Container environment variables

Answer: C

NEW QUESTION # 227
Refer to the Altostrat Media case study for the following solution.
Altostrat is concerned about sophisticated, multi-vector Distributed Denial of Service (DDoS) attacks targeting various layers of their infrastructure. DDoS attacks could potentially disrupt video streaming and cause financial losses. You need to mitigate this risk. What should you do?

A. Set up VPC Service Controls to restrict access to sensitive resources and prevent data exfiltration.
B. Activate Security Command Center to monitor security posture and detect potential threats.
C. Deploy Google Cloud Armor with pre-configured and custom rules for L3/L4 and L7 protection.
D. Configure Cloud Next Generation Firewall (NGFW) with custom rules to filter malicious traffic at the network level.

Answer: C

Explanation:
According to the Google Cloud Architecture Framework and Google Cloud Armor documentation , Google Cloud Armor is the enterprise-grade solution for protecting applications and services against Distributed Denial of Service (DDoS) attacks and web-based exploits. Altostrat requires a solution that addresses " multi-vector " attacks at " various layers, " specifically the Network/Transport layers ( L3/L4 ) and the Application layer ( L7 ).
Google Cloud Armor provides built-in, always-on protection against L3 and L4 volumetric attacks at the edge of Google's network, preventing malicious traffic from reaching the backend GKE clusters or Cloud Run functions. For L7 (Application Layer) protection, Cloud Armor offers Web Application Firewall (WAF) capabilities, including pre-configured rule sets (based on OWASP Top 10 ), rate limiting, and Adaptive Protection . The latter uses machine learning to detect anomalies in traffic patterns specific to Altostrat's applications, automatically suggesting rules to block sophisticated botnets or application-layer floods.
While Cloud NGFW (Option B) provides essential network filtering, it lacks the native L7 inspection and global DDoS scrubbing capabilities inherent to Cloud Armor. VPC Service Controls (Option A) focus on data exfiltration and API security perimeters, and Security Command Center (Option D) is a posture management and threat detection tool rather than an active traffic mitigation service. Deploying Cloud Armor at the global load balancing tier ensures Altostrat maintains the high availability and reliability required for its global media streaming audience.

NEW QUESTION # 228
Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

A. Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the onpremises AD domain controller using Google Cloud Directory Sync.
B. Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.
C. Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.
D. Use the Admin Directory API to authenticate against the Active Directory domain controller.

Answer: B

Explanation:
Reference:
https://cloud.google.com/blog/products/identity-security/using-your-existing-identity-managementsystem- with-google-cloud-platform

NEW QUESTION # 229
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