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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Ensuring solution and operations excellence	12.5%	- Applying Well-Architected Framework principles 1. Operational excellence, reliability, security, cost, and performance pillars - Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis - Planning for continuous improvement 1. Feedback loops and optimization cycles 2. Technology updates and architecture evolution
Analyzing and optimizing technical and business processes	15%	- Improving reliability and performance 1. SLO, SLA, and error budgeting 2. Latency reduction and throughput optimization - Optimizing cost and resource efficiency 1. Resource right-sizing and usage monitoring 2. Committed use discounts and pricing models - Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment
Managing implementation	12.5%	- Guiding development and deployment teams 1. CI/CD pipelines and automation 2. Application and infrastructure deployment strategies - Testing and validating solutions 1. Functional, performance, and security testing 2. Disaster recovery and failover testing - Using Google Cloud tools and APIs programmatically 1. Infrastructure as Code (Terraform, Deployment Manager) 2. Cloud SDK, Cloud Shell, and Cloud Code
Designing and planning a cloud solution architecture	25%	- Designing cloud solution infrastructure aligned with business requirements 1. Compliance and regulatory requirements consideration 2. Scalability, high availability, and fault tolerance design 3. Cost optimization strategies - Planning cloud migration and hybrid/multi-cloud environments 1. Interoperability and integration design 2. Data transfer and synchronization 3. Migration planning and execution - Evaluating and selecting Google Cloud services 1. Serverless and managed service adoption 2. Compute, storage, database, and networking service selection
Managing and provisioning solution infrastructure	15%	- Provisioning and managing compute resources 1. Auto-scaling and resource management 2. VMs, GKE, App Engine, Cloud Run deployment and management - Configuring network topologies and connectivity 1. VPC design, peering, and hybrid connectivity 2. Load balancing and CDN configuration - Managing storage and data services 1. Cloud Storage, Filestore, Persistent Disk management 2. Database deployment, replication, and backup
Designing for security and compliance	17.5%	- Implementing identity and access management 1. IAM roles, permissions, and service accounts 2. Organizational policies and resource hierarchy - Enforcing compliance and governance 1. Security controls, auditing, and logging 2. VPC Service Controls and security perimeters - Securing data and communications 1. Encryption at rest and in transit 2. Key management and secret security

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Pass Guaranteed Quiz 2026 High Pass-Rate Google Professional-Cloud-Architect: Google Certified Professional - Cloud Architect (GCP) Current Exam Content

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q285-Q290):

NEW QUESTION # 285
Your company has a Google Cloud project that uses BigQuery for data warehousing They have a VPN tunnel between the on-premises environment and Google Cloud that is configured with Cloud VPN. The security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing. What should they do?

A. Configure VPC Service Controls and configure Private Google Access.
B. Configure Private Google Access for on-premises only.
C. Perform the following tasks:
1) Create a service account.
2) Give the BigQuery JobUser role and Storage Reader role to the service account.
3) Remove all other IAM access from the project.
D. Configure Private Google Access.

Answer: A

Explanation:
https://cloud.google.com/vpc-service-controls/docs/overview
VPC Service Controls improves your ability to mitigate the risk of data exfiltration from Google Cloud services such as Cloud Storage and BigQuery.

NEW QUESTION # 286
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. Which of the compute services should be migrated as -is and would still be an optimized architecture for performance in the cloud?

A. Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types
B. RabbitMQ deployed using an unmanaged instance group
C. Web applications deployed using App Engine standard environment
D. Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

Answer: A

NEW QUESTION # 287
You have found an error in your App Engine application caused by missing Cloud Datastore indexes. You have created a YAML file with the required indexes and want to deploy these new indexes to Cloud Datastore.
What should you do?

A. Create an HTTP request to the built-in python module to send the index configuration file to your application
B. Upload the configuration file the App Engine's default Cloud Storage bucket, and have App Engine detect the new indexes
C. In the GCP Console, use Datastore Admin to delete the current indexes and upload the new configuration file
D. Point gcloud datastore create-indexes to your configuration file

Answer: C

NEW QUESTION # 288
A financial services company is decommissioning one of its on-premises data centers. As part of this initiative, the company needs to perform a one-time migration of 500 TB of historical transaction archives to a Cloud Storage bucket for long-term retention. The data center ' s internet egress is 1 Gbps, which is shared with critical business operations. You must complete the secure data transfer within a 60-day window to meet the decommissioning deadline. What should you do?

A. Use Storage Transfer Service to create an agent-based transfer job that moves the data from the on- premises file servers directly to the Cloud Storage bucket.
B. Order a Transfer Appliance, copy the data to the appliance using your high-speed local network, and ship it back to Google to upload the data into your Cloud Storage bucket.
C. Provision a Partner Interconnect connection with a 10 Gbps capacity to accelerate the data transfer, and then use Storage Transfer Service.
D. Write a script that uses the gcloud storage cp --parallel command to upload the data in chunks over the public internet during off-peak hours.

Answer: B

Explanation:
According to Google Cloud ' s data transfer decision tree , physical migration using Transfer Appliance is the recommended solution when network bandwidth is a bottleneck. For 500 TB of data on a 1 Gbps link, the theoretical transfer time at 100% saturation is approximately 58 days ($500 \times 10

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