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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q272-Q277):

NEW QUESTION # 272
You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game programmatic access to a legacy game's Firestore database. Access should be as restricted as possible. What should you do?

Answer: D


NEW QUESTION # 273
Your web application has several VM instances running within a VPC. You want to restrict communications between instances to only the paths and ports you authorize, but you don't want to rely on static IP addresses or subnets because the app can autoscale. How should you restrict communications?

Answer: B

Explanation:
This answer avoids using IP, which are replaced by tags.


NEW QUESTION # 274
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources.
What Google domain and project structure should you recommend?

Answer: D

Explanation:
Note: The principle of least privilege and separation of duties are concepts that, although semantically different, are intrinsically related from the standpoint of security. The intent behind both is to prevent people from having higher privilege levels than they actually need Principle of Least Privilege: Users should only have the least amount of privileges required to perform their job and no more. This reduces authorization exploitation by limiting access to resources such as targets, jobs, or monitoring templates for which they are not authorized.
Separation of Duties: Beyond limiting user privilege level, you also limit user duties, or the specific jobs they can perform. No user should be given responsibility for more than one related function. This limits the ability of a user to perform a malicious action and then cover up that action.
References: https://cloud.google.com/kms/docs/separation-of-duties


NEW QUESTION # 275
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month. What should you do?

Answer: A


NEW QUESTION # 276
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others. Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.
How should you configure the network?

Answer: B

Explanation:
Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
Reference: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/


NEW QUESTION # 277
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