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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Analyzing and optimizing technical and business processes	15%	- Improving reliability and performance 1. SLO, SLA, and error budgeting 2. Latency reduction and throughput optimization - Optimizing cost and resource efficiency 1. Resource right-sizing and usage monitoring 2. Committed use discounts and pricing models - Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment
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. 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
Designing and planning a cloud solution architecture	25%	- Designing cloud solution infrastructure aligned with business requirements 1. Cost optimization strategies 2. Compliance and regulatory requirements consideration 3. Scalability, high availability, and fault tolerance design - Planning cloud migration and hybrid/multi-cloud environments 1. Migration planning and execution 2. Interoperability and integration design 3. Data transfer and synchronization - Evaluating and selecting Google Cloud services 1. Compute, storage, database, and networking service selection 2. Serverless and managed service adoption
Managing implementation	12.5%	- 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. Cloud SDK, Cloud Shell, and Cloud Code 2. Infrastructure as Code (Terraform, Deployment Manager) - Testing and validating solutions 1. Disaster recovery and failover testing 2. Functional, performance, and security testing
Ensuring solution and operations excellence	12.5%	- 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 - Applying Well-Architected Framework principles 1. Operational excellence, reliability, security, cost, and performance pillars
Designing for security and compliance	17.5%	- Enforcing compliance and governance 1. Security controls, auditing, and logging 2. VPC Service Controls and security perimeters - Securing data and communications 1. Key management and secret security 2. Encryption at rest and in transit - Implementing identity and access management 1. Organizational policies and resource hierarchy 2. IAM roles, permissions, and service accounts

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q291-Q296):

NEW QUESTION # 291
Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used.
How should you design your architecture?

A. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor
B. Create separate projects that only process credit card data
C. Create a tokenizer service and store only tokenized data
D. Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data
E. Create separate subnetworks and isolate the components that process credit card data

Answer: C

Explanation:
Explanation
Explanation/Reference:
https://www.sans.org/reading-room/whitepapers/compliance/ways-reduce-pci-dss-audit-scope-tokenizing- cardholder-data-33194

NEW QUESTION # 292
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?

A. Configure Stackdriver Monitoring for all Projects, and export to BigQuery.
B. Grant the security team access to the logs in each Project.
C. Configure Stackdriver Monitoring for all Projects with the default retention policies.
D. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.

Answer: A

Explanation:
Explanation
https://cloud.google.com/monitoring/api/v3/metrics
Stackdriver Logging provides you with the ability to filter, search, and view logs from your cloud and open source application services. Allows you to define metrics based on log contents that are incorporated into dashboards and alerts. Enables you to export logs to BigQuery, Google Cloud Storage, and Pub/Sub.
References: https://cloud.google.com/stackdriver/

NEW QUESTION # 293
You are using a GitHub repository for your application's source code. You want to set up an efficient and secure continuous deployment process to automatically build and deploy the application to Cloud Run whenever a pull request is merged. What should you do?

A. Create a workflow using GitHub Actions to build and deploy the application to Cloud Run once a pull request is merged. The workflow will use a service account key checked in with your source code for deployment permission.
B. Connect your repository using the Cloud Build GitHub app. Create a trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build and deploy the application to Cloud Run.
C. Create a GitHub webhook trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build a container image and save it in Artifact Registry. Use Config Sync to deploy the application to Cloud Run.
D. Create a GitHub Enterprise trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build and deploy the application to Cloud Run. Save the deployment credential to Secret Manager.

Answer: B

Explanation:
Connecting the repository using the Cloud Build GitHub app and using a Cloud Build trigger provides an automated, secure CI/CD path without storing long-lived credentials in the repo.
Cloud Build can build the container and deploy directly to Cloud Run using Google-recommended identity-based authentication and managed integrations when a merge event occurs.

NEW QUESTION # 294
Your company has a Google Cloud project that uses BigOuery for data warehousing. The VPN tunnel between the on-premises environment and Google Cloud is configured with Cloud VPN.
Your security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing. What should you do?

A. Configure VPC Service Controls and configure Private Google Access for on-promises hosts.
B. Configure Private Service Connect.
C. Configure Private Google Access.
D. Create a service account, grant the BigQuery JobUser role and Storage Object Viewer role to the service account, and remove all other Identity and Access Management (IAM) access from the project.

Answer: A

Explanation:
VPC Service Controls help to establish security perimeters around Google Cloud services like BigQuery to prevent data exfiltration. They enforce restrictions on what resources can be accessed and from where.
Private Google Access allows on-premises hosts to access Google APIs and services securely over a VPN or Interconnect, without traversing the public internet.

NEW QUESTION # 295
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?

A. Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
B. Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.
C. Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
D. Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

Answer: D

NEW QUESTION # 296
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