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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 - Planning for continuous improvement 1. Technology updates and architecture evolution 2. Feedback loops and optimization cycles - Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis
Managing and provisioning solution infrastructure	15%	- Configuring network topologies and connectivity 1. Load balancing and CDN configuration 2. VPC design, peering, and hybrid connectivity - Managing storage and data services 1. Cloud Storage, Filestore, Persistent Disk management 2. Database deployment, replication, and backup - Provisioning and managing compute resources 1. VMs, GKE, App Engine, Cloud Run deployment and management 2. Auto-scaling and resource management
Designing for security and compliance	17.5%	- Securing data and communications 1. Encryption at rest and in transit 2. Key management and secret security - Enforcing compliance and governance 1. Security controls, auditing, and logging 2. VPC Service Controls and security perimeters - Implementing identity and access management 1. Organizational policies and resource hierarchy 2. IAM roles, permissions, and service accounts
Analyzing and optimizing technical and business processes	15%	- Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment - Improving reliability and performance 1. SLO, SLA, and error budgeting 2. Latency reduction and throughput optimization - Optimizing cost and resource efficiency 1. Committed use discounts and pricing models 2. Resource right-sizing and usage monitoring
Designing and planning a cloud solution architecture	25%	- Planning cloud migration and hybrid/multi-cloud environments 1. Data transfer and synchronization 2. Interoperability and integration design 3. Migration planning and execution - Evaluating and selecting Google Cloud services 1. Serverless and managed service adoption 2. Compute, storage, database, and networking service selection - 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
Managing implementation	12.5%	- Testing and validating solutions 1. Disaster recovery and failover testing 2. Functional, performance, and security 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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q349-Q354):

NEW QUESTION # 349
You are working at an institution that processes medical data. You are migrating several workloads onto Google Cloud. Company policies require all workloads to run on physically separated hardware, and workloads from different clients must also be separated You created a sole-tenant node group and added a node for each client. You need to deploy the workloads on these dedicated hosts. What should you do?

A. Use node affinity labels based on the node name when creating Compute Engine instances in order to host each workload on the correct node.
B. Add the node group name as a network tag when creating Compute Engine instances in order to host each workload on the correct node group.
C. Use node affinity labels based on the node group name when creating Compute Engine instances in order to host each workload on the correct node group
D. Add the node name as a network tag when creating Compute Engine instances in order to host each workload on the correct node.

Answer: A

Explanation:
https://cloud.google.com/compute/docs/nodes/provisioning-sole-tenant-vms#provision_a_sole-tenant_vm
https://cloud.google.com/compute/docs/nodes/provisioning-sole-tenant-vms#gcloud_2 When you create a VM, you request sole-tenancy by specifying node affinity or anti-affinity, referencing one or more node affinity labels. You specify custom node affinity labels when you create a node template, and Compute Engine automatically includes some default affinity labels on each node. By specifying affinity when you create a VM, you can schedule VMs together on a specific node or nodes in a node group. By specifying anti-affinity when you create a VM, you can ensure that certain VMs are not scheduled together on the same node or nodes in a node group.

NEW QUESTION # 350
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. Use Istio's fault injection on the particular microservice whose faulty behavior you want to simulate.
B. Configure Istio's traffic management features to steer the traffic away from a crashing microservice.
C. 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.
D. Destroy one of the nodes of the Kubernetes cluster to observe the behavior.

Answer: A

Explanation:
Microservice runs on all nodes. The Micro service runs on Pod, Pod runs on Nodes. Nodes is nothing but Virtual machines. Once deployed the application microservices will get deployed across all Nodes.
Destroying one node may not mimic the behaviour of microservice crashing as it may be running in other nodes.
link: https://istio.io/latest/docs/tasks/traffic-management/fault-injection/

NEW QUESTION # 351
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public internet. What should you do?

A. Deploy your application on App Engine standard environment and use Cloud VPN to limit access to the on- premises database.
B. Deploy your application on App Engine flexible environment and use App Engine firewall rules to limit access to the on-premises database.
C. Deploy your application on App Engine standard environment and use App Engine firewall rules to limit access to the open on-premises database.
D. Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on- premises database.

Answer: D

NEW QUESTION # 352
Your organization uses separate Google Cloud projects for shared services, development, testing, and production.
- The shared services project hosts your private CI/CD runners and a
central Artifact Registry
- The development, testing, and production projects host the GKE
clusters where applications are deployed.
You need to design an architecture that allows the CI/CD runners to connect to the GKE clusters and the clusters to pull images from Artifact Registry, all using private IP addresses. However, direct network traffic between the development, testing, and production environments must be strictly prohibited. What should you do?

A. Configure the shared services project as a Shared VPC host. Create a single VPC in this host project and attach the environment projects as service projects.
B. Expose the resources in the shared services project using an external load balancer. Implement a firewall rule to limit access.
C. Create a separate VPC in each of the four projects. Connect each environment's VPC to the shared services VPC through VPC Network Peering.
D. Create a separate VPC in each project. Use VPC Network Peering to create a full mesh, connecting every VPC directly to every other VPC.

Answer: C

Explanation:
Creating separate VPCs for shared services, development, testing, and production, and then peering only each environment VPC with the shared services VPC forms a hub-and-spoke design. This allows:
- CI/CD runners (in shared services VPC) to reach each GKE cluster over private IP.
- GKE clusters (in env VPCs) to pull images privately from Artifact Registry (via Private Service Connect / VPC-SC aware patterns).
- No direct connectivity between dev, test, and prod, because VPC Network Peering is non- transitive and you do not peer the environment VPCs with each other, thus enforcing strong isolation by design.

NEW QUESTION # 353
You need to ensure reliability for your application and operations by supporting reliable task a scheduling for compute on GCP. Leveraging Google best practices, what should you do?

A. Using the Cron service provided by Google Kubernetes Engine (GKE), publish messages directly to a message-processing utility service running on Compute Engine instances.
B. Using the Cron service provided by GKE, publish messages to a Cloud Pub/Sub topic. Subscribe to that topic using a message-processing utility service running on Compute Engine instances.
C. Using the Cron service provided by App Engine, publish messages to a Cloud Pub/Sub topic.
Subscribe to that topic using a message-processing utility service running on Compute Engine instances.
D. Using the Cron service provided by App Engine, publishing messages directly to a message-processing utility service running on Compute Engine instances.

Answer: C

Explanation:
https://cloud.google.com/solutions/reliable-task-scheduling-compute-engine

NEW QUESTION # 354
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