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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Managing and provisioning a solution infrastructure	- Configuring network topologies 1. Hybrid and multi-cloud connectivity 2. VPC design and peering 3. Private access and VPN configuration - Configuring individual storage systems 1. Cloud SQL and Spanner 2. Datastore and Bigtable 3. Cloud Storage configuration - Configuring compute systems 1. GKE configuration and management 2. Cloud Run and Cloud Functions 3. Compute Engine configuration
Topic 2: Managing implementation	- Interacting with Google Cloud programmatically 1. Infrastructure as Code (IaC) 2. APIs and client libraries 3. Cloud SDK and gcloud CLI - Advising development/operation team(s) to ensure successful deployment 1. Testing and validation 2. Deployment strategies 3. Application development best practices
Topic 3: Designing and planning a cloud solution architecture	- Enabling future cloud technology 1. Implementing future-proof architectures 2. Designing for scalability and elasticity - Designing network, storage, and compute resources 1. Compute engine selection and configuration 2. Storage options and data lifecycle management 3. Network design including load balancing and firewall rules 4. GKE cluster and workload design - Creating a migration plan 1. Refactoring and rearchitecting applications 2. Planning data migration 3. Identifying workloads for migration - Designing solution infrastructure that meets business requirements 1. Integration with existing systems 2. Data and storage architecture 3. Cost optimization 4. Migration planning 5. Business use cases and product strategy 6. Networking and compute resources
Topic 4: Analyzing and optimizing technical and business processes	- Analyzing and defining technical processes 1. CI/CD pipeline design 2. Software development lifecycle (SDLC) 3. Incident management and troubleshooting - Analyzing and defining business processes 1. Business KPIs and metrics 2. Cost management and optimization 3. Stakeholder communication
Topic 5: Designing for security and compliance	- Designing for security 1. Data security and encryption 2. Identity and Access Management (IAM) 3. Application security 4. Network security - Designing for compliance 1. Regulatory and compliance requirements 2. Data residency and sovereignty 3. Audit logging and monitoring
Topic 6: Ensuring solution and operations reliability	- Deployment and release management 1. Deployment strategies and rollback 2. Release management and versioning - Assisting with support 1. Incident response and troubleshooting 2. Capacity planning and scaling - Evaluating quality control measures - Monitoring/logging/profiling/alerting solution 1. Cloud Monitoring and Cloud Logging 2. Error reporting and alerting 3. Performance profiling and tracing

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Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q301-Q306):

質問 # 301
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

A. 1. Stop the on-premises application.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Start the application on Compute Engine.
B. 1. Set up Cloud SQL proxy and MySQL proxy.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Stop the on-premises application.
6.Start the Compute Engine application.
C. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4.Create the replication configuration in Cloud SQL.
5.Configure the source database server to accept connections from the Cloud SQL replica.
6.Finalize the Cloud SQL replica configuration.
7.When replication has been completed, stop the Compute Engine application.
8.Promote the Cloud SQL replica to a standalone instance.
9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
D. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Create a mysqldump of the on-premises MySQL server.
4.Upload the dump to a Cloud Storage bucket.
5.Import the dump into Cloud SQL.
6.Modify the source code of the application to write queries to both databases and read from its local database.
7.Start the Compute Engine application.
8.Stop the on-premises application.

正解：D

質問 # 302
Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future. What should you do?

A. Increase the load on your test and staging environments.
B. Deploy fewer changes to production.
C. Deploy smaller changes to production.
D. Deploy changes to a small subset of users before rolling out to production.

正解：D

質問 # 303
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 two.)

A. Remove dependencies from requirements.txt
B. Use larger machine types for your Google Container Engine node pools
C. Use a slimmed-down base image like Alpine Linux
D. Copy the source after he package dependencies (Python and pip) are installed
E. Remove Python after running pip

正解：C、D

解説：
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.
Reference: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/

質問 # 304
You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud.
You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

A. Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.
B. Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application.
Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
C. Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.
D. Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

正解：B

解説：
Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
https://cloud.google.com/migrate/compute-engine/docs/4.9/concepts/planning-a-migration/cloud-instance-right

質問 # 305
Your company has a Google Workspace account and Google Cloud Organization. Some developers in the company have created Google Cloud projects outside of the Google Cloud Organization.
You want to create an Organization structure that allows developers to create projects, but prevents them from modifying production projects. You want to manage policies for all projects centrally and be able to set more restrictive policies for production projects.
You want to minimize disruption to users and developers when business needs change in the future. You want to follow Google-recommended practices. Now should you design the Organization structure?

A. 1. Create folders under the Organization resource named "Development" and "Production."
2. Grant all developers the Project Creator IAM role on the "Development" folder.
3. Move the developer projects into the "Development" folder.
4. Set the policies for all projects on the Organization.
5. Additionally, set the production policies on the "Production" folder.
B. 1. Create a second Google Workspace account and Organization.
2. Grant all developers the Project Creator IAM role on the new Organization.
3. Move the developer projects into the new Organization.
4. Set the policies for all projects on both Organizations.
5. Additionally, set the production policies on the original Organization.
C. 1. Designate the Organization for production projects only.
2. Ensure that developers do not have the Project Creator IAM role on the Organization.
3. Create development projects outside of the Organization using the developer Google Workspace accounts.
4. Set the policies for all projects on the Organization.
5. Additionally, set the production policies on the individual production projects.
D. 1. Create a folder under the Organization resource named "Production."
2. Grant all developers the Project Creator IAM role on the new Organization.
3. Move the developer projects into the new Organization.
4. Set the policies for all projects on the Organization.
5. Additionally, set the production policies on the "Production" folder.

正解：C

解説：
Because managing multiple organizations is not a Google best practice.
https://cloud.google.com/resource-manager/docs/creating-managing-organization

質問 # 306
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