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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Designing for security and compliance | 17.5% | - Enforcing compliance and governance
- 1. VPC Service Controls and security perimeters
- 2. Security controls, auditing, and logging
- Securing data and communications
- 1. Key management and secret security
- 2. Encryption at rest and in transit
- Implementing identity and access management
- 1. Organizational policies and resource hierarchy
- 2. IAM roles, permissions, and service accounts
|
| Topic 2: Designing and planning a cloud solution architecture | 25% | - Planning cloud migration and hybrid/multi-cloud environments
- 1. Interoperability and integration design
- 2. Migration planning and execution
- 3. Data transfer and synchronization
- Designing cloud solution infrastructure aligned with business requirements
- 1. Cost optimization strategies
- 2. Compliance and regulatory requirements consideration
- 3. Scalability, high availability, and fault tolerance design
- Evaluating and selecting Google Cloud services
- 1. Compute, storage, database, and networking service selection
- 2. Serverless and managed service adoption
|
| Topic 3: Managing implementation | 12.5% | - Using Google Cloud tools and APIs programmatically
- 1. Infrastructure as Code (Terraform, Deployment Manager)
- 2. Cloud SDK, Cloud Shell, and Cloud Code
- Guiding development and deployment teams
- 1. Application and infrastructure deployment strategies
- 2. CI/CD pipelines and automation
- Testing and validating solutions
- 1. Functional, performance, and security testing
- 2. Disaster recovery and failover testing
|
| Topic 4: Ensuring solution and operations excellence | 12.5% | - 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
- Applying Well-Architected Framework principles
- 1. Operational excellence, reliability, security, cost, and performance pillars
|
| Topic 5: Analyzing and optimizing technical and business processes | 15% | - Optimizing cost and resource efficiency
- 1. Resource right-sizing and usage monitoring
- 2. Committed use discounts and pricing models
- Improving reliability and performance
- 1. Latency reduction and throughput optimization
- 2. SLO, SLA, and error budgeting
- Streamlining operational workflows
- 1. Change management and incident response
- 2. Stakeholder communication and alignment
|
| Topic 6: Managing and provisioning solution infrastructure | 15% | - 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. VPC design, peering, and hybrid connectivity
- 2. Load balancing and CDN configuration
- Managing storage and data services
- 1. Database deployment, replication, and backup
- 2. Cloud Storage, Filestore, Persistent Disk management
|
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최신 Google Cloud Certified Professional-Cloud-Architect 무료샘플문제 (Q148-Q153):
질문 # 148
Your company has sensitive data in Cloud Storage buckets. Data analysts have Identity Access Management (IAM) permissions to read the buckets. You want to prevent data analysts from retrieving the data in the buckets from outside the office network. What should you do?
- A. 1. Create a Cloud VPN to the office network.
2. Configure Private Google Access for on-premises hosts. - B. 1. Create a Cloud Function to remove IAM permissions from the buckets, and another Cloud Function to add IAM permissions to the buckets.
2. Schedule the Cloud Functions with Cloud Scheduler to add permissions at the start of business and remove permissions at the end of business. - C. 1. Create a firewall rule for all instances in the Virtual Private Cloud (VPC) network for source range.
2. Use the Classless Inter-domain Routing (CIDR) of the office network. - D. 1. Create a VPC Service Controls perimeter that includes the projects with the buckets.
2. Create an access level with the CIDR of the office network.
정답:B
질문 # 149
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?
- A. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
- B. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
- C. Create an instance template from the existing disk. Create a custom image from the instance template.
Create an autoscaled managed instance group from the custom image. - D. Create a custom image from the existing disk. Create an instance template from the custom image. Create an autoscaled managed instance group from the instance template.
정답:D
질문 # 150
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.

What should you do?
- A. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
- B. Upload missing JAR files and redeploy your application.
- C. Digitally sign all of your JAR files and redeploy your application
정답:C
질문 # 151
You are developing your microservices application on Google Kubernetes Engine. During testing, you want to validate the behavior of your application in case a specific microservice should suddenly crash. What should you do?
- A. Configure Istio's traffic management features to steer the traffic away from a crashing microservice.
- B. Use Istio's fault injection on the particular microservice whose faulty behavior you want to simulate.
- C. Destroy one of the nodes of the Kubernetes cluster to observe the behavior.
- D. Add a taint to one of the nodes of the Kubernetes cluster. For the specific microservice, configure a pod anti-affinity label that has the name of the tainted node as a value.
정답:B
설명:
https://istio.io/latest/docs/tasks/traffic-management/fault-injection/
질문 # 152
Case Study: 1 - Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study. Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?
- A. Verify that the load-testing team is not running their tool against production.
- B. Verify that the database is online.
- C. Verify that the new feature code did not introduce any performance bugs.
- D. Verify that the project quota hasn't been exceeded.
정답:D
질문 # 153
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