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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Designing and planning a cloud solution architecture	25%	- Designing cloud solution infrastructure aligned with business requirements 1. Compliance and regulatory requirements consideration 2. Scalability, high availability, and fault tolerance design 3. Cost optimization strategies - Planning cloud migration and hybrid/multi-cloud environments 1. Interoperability and integration design 2. Data transfer and synchronization 3. Migration planning and execution - Evaluating and selecting Google Cloud services 1. Compute, storage, database, and networking service selection 2. Serverless and managed service adoption
Analyzing and optimizing technical and business processes	15%	- Optimizing cost and resource efficiency 1. Committed use discounts and pricing models 2. Resource right-sizing and usage monitoring - 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
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 - Securing data and communications 1. Encryption at rest and in transit 2. Key management and secret security - Enforcing compliance and governance 1. VPC Service Controls and security perimeters 2. Security controls, auditing, and logging
Managing and provisioning solution infrastructure	15%	- Configuring network topologies and connectivity 1. VPC design, peering, and hybrid connectivity 2. Load balancing and CDN configuration - Managing storage and data services 1. Cloud Storage, Filestore, Persistent Disk management 2. Database deployment, replication, and backup - Provisioning and managing compute resources 1. Auto-scaling and resource management 2. VMs, GKE, App Engine, Cloud Run deployment and management
Ensuring solution and operations excellence	12.5%	- 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 - Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis
Managing implementation	12.5%	- Testing and validating solutions 1. Functional, performance, and security testing 2. Disaster recovery and failover testing - 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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q238-Q243):

NEW QUESTION # 238
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. Digitally sign all of your JAR files and redeploy your application
B. Upload missing JAR files and redeploy your application.
C. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1

Answer: A

NEW QUESTION # 239
Dress4win has end to end tests covering 100% of their endpoints.
They want to ensure that the move of cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

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

Answer: B

NEW QUESTION # 240
You are managing an application deployed on Cloud Run for Anthos, and you need to define a strategy for deploying new versions of the application. You want to evaluate the new code with a subset of production traffic to decide whether to proceed with the rollout. What should you do?

A. In the Google Cloud Console, configure Traffic Director with a new Service that points to the new version of the application on Cloud Run. Configure Traffic Director to send a small percentage of traffic to the new version of the application.
B. Deploy a new revision to Cloud Run with the new version. Configure traffic percentage between revisions.
C. Deploy a new service to Cloud Run with the new version. Add a Cloud Load Balancing instance in front of both services.
D. In the Google Cloud Console page for Cloud Run, set up continuous deployment using Cloud Build for the development branch. As part of the Cloud Build trigger, configure the substitution variable TRAFFIC_PERCENTAGE with the percentage of traffic you want directed to a new version.

Answer: B

Explanation:
https://cloud.google.com/run/docs/rollouts-rollbacks-traffic-migration

NEW QUESTION # 241
You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem. What should you do?

A. In the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubectl to restart all pods.
B. In the GCP Console, navigate to Stackdriver Logging. Consult logs for Kubernetes Engine and Cloud SQL.
C. Use gcloud sql instances restart.
D. Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.

Answer: D

NEW QUESTION # 242
You team needs to create a Google Kubernetes Engine (GKE) cluster to host a newly built application that requires access to third-party services on the internet. Your company does not allow any Compute Engine instance to have a public IP address on Google Cloud. You need to create a deployment strategy that adheres to these guidelines. What should you do?

A. Configure the GKE cluster as a route-based cluster. Configure Private Google Access on the Virtual Private Cloud (VPC)
B. Configure the GKE cluster as a private cluster, and configure Cloud NAT Gateway for the cluster subnet
C. Configure the GKE cluster as a private cluster. Configure Private Google Access on the Virtual Private Cloud (VPC)
D. Create a Compute Engine instance, and install a NAT Proxy on the instance. Configure all workloads on GKE to pass through this proxy to access third-party services on the Internet

Answer: B

Explanation:
A Cloud NAT gateway can perform NAT for nodes and Pods in a private cluster, which is a type of VPC-native cluster. The Cloud NAT gateway must be configured to apply to at least the following subnet IP address ranges for the subnet that your cluster uses:
Subnet primary IP address range (used by nodes)
Subnet secondary IP address range used for Pods in the cluster
Subnet secondary IP address range used for Services in the cluster
The simplest way to provide NAT for an entire private cluster is to configure a Cloud NAT gateway to apply to all of the cluster's subnet's IP address ranges.
https://cloud.google.com/nat/docs/overview

NEW QUESTION # 243
......

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