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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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. Application and infrastructure deployment strategies 2. CI/CD pipelines and automation - Using Google Cloud tools and APIs programmatically 1. Infrastructure as Code (Terraform, Deployment Manager) 2. Cloud SDK, Cloud Shell, and Cloud Code
Topic 2: Designing and planning a cloud solution architecture	25%	- Planning cloud migration and hybrid/multi-cloud environments 1. Migration planning and execution 2. Data transfer and synchronization 3. Interoperability and integration design - Designing cloud solution infrastructure aligned with business requirements 1. Scalability, high availability, and fault tolerance design 2. Cost optimization strategies 3. Compliance and regulatory requirements consideration - Evaluating and selecting Google Cloud services 1. Compute, storage, database, and networking service selection 2. Serverless and managed service adoption
Topic 3: 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. Technology updates and architecture evolution 2. Feedback loops and optimization cycles
Topic 4: Analyzing and optimizing technical and business processes	15%	- Improving reliability and performance 1. SLO, SLA, and error budgeting 2. Latency reduction and throughput optimization - Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment - Optimizing cost and resource efficiency 1. Resource right-sizing and usage monitoring 2. Committed use discounts and pricing models
Topic 5: Designing for security and compliance	17.5%	- Implementing identity and access management 1. Organizational policies and resource hierarchy 2. IAM roles, permissions, and service accounts - 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
Topic 6: 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. 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

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Professional-Cloud-Architect試験復習 & Professional-Cloud-Architect資格認定

今の多士済々な社会の中で、IT専門人士はとても人気がありますが、競争も大きいです。だからいろいろな方は試験を借って、自分の社会の地位を固めたいです。Professional-Cloud-Architect認定試験はGoogleの中に重要な認証試験の一つですが、CertShikenにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってGoogle Professional-Cloud-Architect「Google Certified Professional - Cloud Architect (GCP)」認証試験に参加する方に対して問題集を研究続けています。

Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q65-Q70):

質問 # 65
Case Study: 4 - Dress4Win case study
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.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated 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 considering moving their development and test environments. They are also considering 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.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* 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. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
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 puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study.
Dress4Win has end-to-end tests covering 100% of their endpoints. They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

A. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.
B. They should add canary tests so developers can measure how much of an impact the new release causes to latency.
C. They should add additional unit tests and production scale load tests on their cloud staging environment.
D. They should enable Google Stackdriver Debugger on the application code to show errors in the code.

正解：C

解説：
B is correct answer because the question asks about additional methods to prevent an outage.
If they have already 100% coverage than they are smart enough to run those test on new platform as C describes.

質問 # 66
You have an application deployed on Google Kubernetes Engine using a Deployment named echo-deployment.
The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

A. Update the deployment yaml file with the new container image. Use kubectl delete deployment/ echo-deployment and kubectl create -f <yaml-file>
B. Update the service yaml file which the new container image. Use kubectl delete service/echo- service and kubectl create -f <yaml-file>
C. Use kubectl set image deployment/echo-deployment <new-image>
D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

正解：D

解説：
Explanation/Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps

質問 # 67
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

A. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.
B. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
C. Create an App Engine web application where users can upload images for the next 24 hours.
Authenticate users via Cloud Identity.
D. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.

正解：D

解説：
When should you use a signed URL? In some scenarios, you might not want to require your users to have a Google account in order to access Cloud Storage" "Signed URLs contain authentication information in their query string, allowing users without credentials to perform specific actions on a resource".
https://cloud.google.com/storage/docs/access-control/signed-urls

質問 # 68
You are responsible for the architecture of a critical ecommerce application. The application ' s web frontends run on Compute Engine instances deployed across multiple zones within a single region. The architecture must be highly available and self-healing. If a zone becomes unavailable, the system must automatically recreate the lost capacity in the available zones. To maximize efficiency, you need to ensure that all provisioned compute resources actively serve traffic during normal operations, and user traffic is au tomatically and seamlessly directed away from any failed instance or zone. What should you do?

A. Create three separate zonal managed instance groups (MIGs), and use Cloud DNS with weighted routing to distribute traffic across the public IP address of an instance in each MIG.
B. Create a single regional unmanaged instance group spanning all three zones. Place a regional external Application Load Balancer in front of the group, and configure its backend service with a health check.
C. Create a single regional managed instance group (MIG) configured to span all three zones. Place a regional external Application Load Balancer in front of the MIG. And configure its backend service with a health check.
D. Configure a regional external Application Load Balancer with a primary regional managed instance group (MIG) as its backend service, and configure a second regional MIG as a failover backend.

正解：C

解説：
The Google Cloud Architecture Framework: Reliability section states that Regional Managed Instance Groups (MIGs) are the optimal choice for high availability within a region.
A Regional MIG automatically distributes instances across multiple zones. If a zone fails, the MIG's auto- healing feature detects the loss and automatically recreates the instances in the remaining healthy zones, satisfying the self-healing requirement. By placing a Regional External Application Load Balancer in front of the MIG and using health checks , the system ensures that traffic is only sent to healthy instances. This is an Active-Active configuration, meaning all instances are serving traffic during normal operations, maximizing efficiency. Option B is an Active-Passive (failover) setup which is less efficient, and Option A (unmanaged groups) lacks the auto-scaling and auto-healing capabilities required for modern ecommerce applications.

質問 # 69
A development team at your company has created a dockerized HTTPS web application. You need to deploy the application on Google Kubernetes Engine (GKE) and make sure that the application scales automatically.
How should you deploy to GKE?

A. Enable autoscaling on the Compute Engine instance group. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.
B. Use the Horizontal Pod Autoscaler and enable cluster autoscaling. Use an Ingress resource to load-balance the HTTPS traffic.
C. Enable autoscaling on the Compute Engine instance group. Use an Ingress resource to load balance the HTTPS traffic.
D. Use the Horizontal Pod Autoscaler and enable cluster autoscaling on the Kubernetes cluster. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.

正解：D

解説：
Explanation/Reference:
Reference https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-autoscaler

質問 # 70
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