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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q318-Q323):

NEW QUESTION # 318
A small number of API requests to your microservices-based application take a very long time.
You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?

Answer: D

Explanation:
https://cloud.google.com/trace/docs/overview


NEW QUESTION # 319
For this question, refer to the TerramEarth case study.
The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?

Answer: A


NEW QUESTION # 320
You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with HTTP status codes of 5xx and 429.
How should you handle these types of errors?

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/storage/docs/json_api/v1/status-codes


NEW QUESTION # 321
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

Answer: B

Explanation:
Explanation
https://cloud.google.com/solutions/iot-overview


NEW QUESTION # 322
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

Answer: B

Explanation:
Explanation
https://cloud.google.com/solutions/data-analytics-partner-ecosystem
https://zulily-tech.com/2015/08/10/leveraging-google-cloud-dataflow-for-clickstream-processing/ Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs


NEW QUESTION # 323
......

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