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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Objectives |
|---|
| Topic 1: Analyzing and optimizing technical and business processes | - Analyzing and defining business processes
- 1. Business KPIs and metrics
- 2. Cost management and optimization
- 3. Stakeholder communication
- Analyzing and defining technical processes
- 1. CI/CD pipeline design
- 2. Incident management and troubleshooting
- 3. Software development lifecycle (SDLC)
|
| Topic 2: Managing and provisioning a solution infrastructure | - Configuring compute systems
- 1. Compute Engine configuration
- 2. GKE configuration and management
- 3. Cloud Run and Cloud Functions
- Configuring network topologies
- 1. Hybrid and multi-cloud connectivity
- 2. Private access and VPN configuration
- 3. VPC design and peering
- Configuring individual storage systems
- 1. Datastore and Bigtable
- 2. Cloud SQL and Spanner
- 3. Cloud Storage configuration
|
| Topic 3: Designing for security and compliance | - Designing for compliance
- 1. Regulatory and compliance requirements
- 2. Audit logging and monitoring
- 3. Data residency and sovereignty
- Designing for security
- 1. Identity and Access Management (IAM)
- 2. Data security and encryption
- 3. Network security
- 4. Application security
|
| Topic 4: Ensuring solution and operations reliability | - Assisting with support
- 1. Incident response and troubleshooting
- 2. Capacity planning and scaling
- Deployment and release management
- 1. Deployment strategies and rollback
- 2. Release management and versioning
- Evaluating quality control measures - Monitoring/logging/profiling/alerting solution
- 1. Error reporting and alerting
- 2. Cloud Monitoring and Cloud Logging
- 3. Performance profiling and tracing
|
| Topic 5: Designing and planning a cloud solution architecture | - Enabling future cloud technology
- 1. Designing for scalability and elasticity
- 2. Implementing future-proof architectures
- Designing solution infrastructure that meets business requirements
- 1. Integration with existing systems
- 2. Migration planning
- 3. Business use cases and product strategy
- 4. Cost optimization
- 5. Networking and compute resources
- 6. Data and storage architecture
- Creating a migration plan
- 1. Identifying workloads for migration
- 2. Refactoring and rearchitecting applications
- 3. Planning data migration
- Designing network, storage, and compute resources
- 1. GKE cluster and workload design
- 2. Compute engine selection and configuration
- 3. Network design including load balancing and firewall rules
- 4. Storage options and data lifecycle management
|
| Topic 6: Managing implementation | - Advising development/operation team(s) to ensure successful deployment
- 1. Application development best practices
- 2. Deployment strategies
- 3. Testing and validation
- Interacting with Google Cloud programmatically
- 1. APIs and client libraries
- 2. Cloud SDK and gcloud CLI
- 3. Infrastructure as Code (IaC)
|
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最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q183-Q188):
問題 #183
You are responsible for the Google Cloud environment in your company Multiple departments need access to their own projects and the members within each department will have the same project responsibilities You want to structure your Google Cloud environment for minimal maintenance and maximum overview of 1AM permissions as each department's projects start and end You want to follow Google-recommended practices What should you do?
- A. Grant all department members the required 1AM permissions for their respective projects
- B. Create a Google Group per department and add all department members to their respective groups Create a folder per department and grant the respective group the required 1AM permissions at the folder level Add the projects under the respective folders
- C. Create a folder per department and grant the respective members of the department the required 1AM permissions at the folder level. Structure all projects for each department under the respective folders
- D. Create a Google Group per department and add all department members to their respective groups Grant each group the required I AM permissions for their respective projects
答案:B
解題說明:
Explanation
This option follows the Google-recommended practices for structuring a Google Cloud environment for minimal maintenance and maximum overview of IAM permissions. By creating a Google Group per department and adding all department members to their respective groups, you can simplify user management and avoid granting IAM permissions to individual users. By creating a folder per department and granting the respective group the required IAM permissions at the folder level, you can enforce consistent policies across all projects within each department and avoid granting IAM permissions at the project level. By adding the projects under the respective folders, you can organize your resources hierarchically and leverage inheritance of IAM policies from folders to projects. The other options are not optimal for this scenario, because they either require granting IAM permissions to individual users (B, C), or do not use Google Groups to manage users (D). References:
https://cloud.google.com/architecture/framework/system-design
https://cloud.google.com/architecture/identity/best-practices-for-planning
https://cloud.google.com/resource-manager/docs/creating-managing-folders
問題 #184
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.
- A. Use a slimmed-down base image like Alpine Linux
- B. Remove Python after running pip
- C. Copy the source after he package dependencies (Python and pip) are installed
- D. Use larger machine types for your Google Container Engine node pools
- E. Remove dependencies from requirements.txt
答案:A,C
解題說明:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/
問題 #185
You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly. What should you do?
- A. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
- B. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
- C. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
- D. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
答案:B
問題 #186
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed.
What is the most likely cause of this problem?

- A. The URL of the API needs to be modified to prevent caching.
- B. The session variable is being overwritten in Cloud Datastore.
- C. The HTTP Expires header needs to be set to -1 to stop caching.
- D. The session variable is local to just a single instance.
答案:D
解題說明:
AppEngine spins up new containers automatically according to the load. During peak traffic, HTTP requests originated by the same user could be served by different containers. Given that the variable `sessions` is recreated for each container, it might store different data.
The problem here is that this Flask app is stateful. The `sessions` variable is the state of this app.
And stateful variables in AppEngine / Cloud Run / Cloud Functions are problematic.
A solution would be to store the session in some database (e.g. Firestore, Memorystore) and retrieve it from there. This way the app would fetch the session from a single place and would be stateless.
問題 #187
For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?
- A. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
- B. BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
- C. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
- D. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
答案:D
問題 #188
......
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