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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. Alerting, dashboarding, and root cause analysis 2. Cloud Monitoring, Logging, and Error Reporting - Planning for continuous improvement 1. Feedback loops and optimization cycles 2. Technology updates and architecture evolution
Managing and provisioning solution infrastructure	15%	- Managing storage and data services 1. Database deployment, replication, and backup 2. Cloud Storage, Filestore, Persistent Disk management - Provisioning and managing compute resources 1. VMs, GKE, App Engine, Cloud Run deployment and management 2. Auto-scaling and resource management - Configuring network topologies and connectivity 1. Load balancing and CDN configuration 2. VPC design, peering, and hybrid connectivity
Managing implementation	12.5%	- Testing and validating solutions 1. Functional, performance, and security testing 2. Disaster recovery and failover testing - Guiding development and deployment teams 1. CI/CD pipelines and automation 2. Application and infrastructure deployment strategies - 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. Scalability, high availability, and fault tolerance design 2. Compliance and regulatory requirements consideration 3. Cost optimization strategies - Planning cloud migration and hybrid/multi-cloud environments 1. Migration planning and execution 2. Data transfer and synchronization 3. Interoperability and integration design - Evaluating and selecting Google Cloud services 1. Serverless and managed service adoption 2. Compute, storage, database, and networking service selection
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. VPC Service Controls and security perimeters 2. Security controls, auditing, and logging - Securing data and communications 1. Encryption at rest and in transit 2. Key management and secret security
Analyzing and optimizing technical and business processes	15%	- Streamlining operational workflows 1. Stakeholder communication and alignment 2. Change management and incident response - Improving reliability and performance 1. Latency reduction and throughput optimization 2. SLO, SLA, and error budgeting - Optimizing cost and resource efficiency 1. Resource right-sizing and usage monitoring 2. Committed use discounts and pricing models

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최신 Google Cloud Certified Professional-Cloud-Architect 무료샘플문제 (Q300-Q305):

질문 # 300
A large, multinational corporation is migrating to Google Cloud. The company has several distinct business units: Finance, Marketing, and Research and Development (R&D). The central security team has mandated governance requirements for each business unit:.
- Finance: Must be restricted to deploying resources only in specific,
compliant regions (us-central1 and europe-west2). Access to their
projects must be tightly controlled by a dedicated finance-admins
group.
- Marketing: Needs separate environments for production and
development, with different teams managing each environment.
- R&D: Requires maximum flexibility to experiment with new services but must be completely isolated to prevent any impact on production systems.
- Global Auditing: A central compliance team requires read-only access
to view all resources across the entire company for auditing purposes.
You need to design a resource hierarchy that enforces these security policies at scale according to the Google Cloud Well-Architected Framework while providing the correct level of autonomy for each business unit. What should you do?

A. Create a single project for each department. Apply the resource location policy directly to the Finance project. Grant the compliance team the roles/browser role on each project individually.
B. Place all projects directly under the Organization node. Use network tags and service accounts to enforce security boundaries between the different department workloads. Apply the resource location Organization Policy on the Finance project.
C. Create a folder for each department under the root Organization node. Apply the resource location Organization Policy on the Finance folder. Within the Marketing folder, create separate projects for mktg-prod and mktg-dev. Grant the compliance team the roles/viewer role at the Organization level.
D. Create separate Google Cloud Organizations for each department (Finance, Marketing, and R&D). Grant the compliance team the roles/viewer role for each organization.

정답：C

설명：
Using folders per business unit enables scalable policy enforcement and delegated administration. Applying the resource location restriction at the Finance folder level enforces compliant regions for all Finance projects, while IAM on that folder allows tight control via the finance-admins group. Separate Marketing projects for production and development provide clear environment separation and independent administration. Keeping R&D within its own folder supports strong isolation from production through folder-level policies and IAM while still allowing flexibility. Granting the auditing team read-only access at the Organization level provides consistent visibility across all resources without per-project management overhead.

질문 # 301
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.
TerramEarth has a legacy web application that you cannot migrate to cloud. However, you still want to build a cloud-native way to monitor the application. If the application goes down, you want the URL to point to a "Site is unavailable" page as soon as possible. You also want your Ops team to receive a notification for the issue. You need to build a reliable solution for minimum cost.
What should you do?

A. Create a Cloud Monitoring uptime check to validate the application URL. If it fails, put a message in a Pub/Sub queue that triggers a Cloud Function to switch the URL to the "Site is unavailable" page, and notify the Ops team.
B. Create a cron job on a Compute Engine VM that runs every minute. The cron job invokes a Python program to check the application URL. If the application is down, switch the URL to the
"Site is unavailable" page, and notify the Ops team.
C. Use Cloud Error Reporting to check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.
D. Create a scheduled job in Cloud Run to invoke a container every minute. The container will check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.

정답：A

설명：
Cloud monitoring for Uptime check to validate the application URL and leverage pub/sub to trigger Cloud Function to switch URL.
https://cloud.google.com/monitoring/uptime-checks?hl=en

질문 # 302
For this question, refer to the TerramEarth case study.
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US.
Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?

A. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a regional bucket and use a Cloud Dataproc cluster .....
B. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
C. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
D. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.

정답：A

질문 # 303
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources.
What Google domain and project structure should you recommend?

A. Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.
B. Create two G Suite accounts to manage users: one for development/test/staging and one for production.
Each account should contain one project for every application.
C. Create a single G Suite account to manage users with each stage of each application in its own project.
D. Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.

정답：D

설명：
Explanation
Note: The principle of least privilege and separation of duties are concepts that, although semantically different, are intrinsically related from the standpoint of security. The intent behind both is to prevent people from having higher privilege levels than they actually need
* Principle of Least Privilege: Users should only have the least amount of privileges required to perform their job and no more. This reduces authorization exploitation by limiting access to resources such as targets, jobs, or monitoring templates for which they are not authorized.
* Separation of Duties: Beyond limiting user privilege level, you also limit user duties, or the specific jobs they can perform. No user should be given responsibility for more than one related function. This limits the ability of a user to perform a malicious action and then cover up that action.
References: https://cloud.google.com/kms/docs/separation-of-duties

질문 # 304
You want to store critical business information in Cloud Storage buckets. The information is regularly changed, but previous versions need to be referenced on a regular basis. You want to ensure that there is a record of all changes to any information in these buckets. You want to ensure that accidental edits or deletions can be easily rolled back. Which feature should you enable?

A. Object Versioning
B. Object Lifecycle Management
C. Object change notification
D. Bucket Lock

정답：A

설명：
Object versioning, super important to be able to rollback in case of any deletion.
https://cloud.google.com/storage/docs/object-versioning

질문 # 305
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