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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
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. Infrastructure as Code (IaC)
  • 2. APIs and client libraries
  • 3. Cloud SDK and gcloud CLI
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. Cost management and optimization
  • 2. Business KPIs and metrics
  • 3. Stakeholder communication
Designing and planning a cloud solution architecture- 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. Refactoring and rearchitecting applications
  • 3. Planning data migration
- Designing solution infrastructure that meets business requirements
  • 1. Business use cases and product strategy
  • 2. Migration planning
  • 3. Data and storage architecture
  • 4. Cost optimization
  • 5. Integration with existing systems
  • 6. Networking and compute resources
- Designing network, storage, and compute resources
  • 1. Network design including load balancing and firewall rules
  • 2. Storage options and data lifecycle management
  • 3. GKE cluster and workload design
  • 4. Compute engine selection and configuration
Ensuring solution and operations reliability- Monitoring/logging/profiling/alerting solution
  • 1. Cloud Monitoring and Cloud Logging
  • 2. Error reporting and alerting
  • 3. Performance profiling and tracing
- Deployment and release management
  • 1. Deployment strategies and rollback
  • 2. Release management and versioning
- Assisting with support
  • 1. Capacity planning and scaling
  • 2. Incident response and troubleshooting
- Evaluating quality control measures
Designing for security and compliance- Designing for security
  • 1. Application security
  • 2. Data security and encryption
  • 3. Network security
  • 4. Identity and Access Management (IAM)
- Designing for compliance
  • 1. Data residency and sovereignty
  • 2. Audit logging and monitoring
  • 3. Regulatory and compliance requirements
Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. Hybrid and multi-cloud connectivity
  • 2. Private access and VPN configuration
  • 3. VPC design and peering
- Configuring individual storage systems
  • 1. Datastore and Bigtable
  • 2. Cloud SQL and Spanner
  • 3. Cloud Storage configuration
- Configuring compute systems
  • 1. GKE configuration and management
  • 2. Cloud Run and Cloud Functions
  • 3. Compute Engine configuration

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q74-Q79):

NEW QUESTION # 74
Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

Answer: A

Explanation:
Reference:
https://cloud.google.com/solutions/federating-gcp-with-active-directory-introduction#implementing_federation


NEW QUESTION # 75
Your web application uses Google Kubernetes Engine to manage several workloads. One workload requires a consistent set of hostnames even after pod scaling and relaunches.
Which feature of Kubernetes should you use to accomplish this?

Answer: D

Explanation:
Explanation
https://kubernetes.io/docs/tutorials/stateful-application/basic-stateful-set/


NEW QUESTION # 76
Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours.
Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?

Answer: A

Explanation:
Reference: https://cloud.google.com/blog/products/it-ops/best-practices-for-optimizing-your-cloud-costs


NEW QUESTION # 77
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed.
What is the most likely cause of this problem?

Answer: D

Explanation:
AppEngine spins up new containers automatically according to the load. During peak traffic, HTTP requests originated by the same user could be served by different containers. Given that the variable `sessions` is recreated for each container, it might store different data.
The problem here is that this Flask app is stateful. The `sessions` variable is the state of this app.
And stateful variables in AppEngine / Cloud Run / Cloud Functions are problematic.
A solution would be to store the session in some database (e.g. Firestore, Memorystore) and retrieve it from there. This way the app would fetch the session from a single place and would be stateless.


NEW QUESTION # 78
You are implementing a single Cloud SQL MySQL second-generation database that contains business-critical transaction data. You want to ensure that the minimum amount of data is lost in case of catastrophic failure.
Which two features should you implement? (Choose two.)

Answer: D,E

Explanation:
Backups help you restore lost data to your Cloud SQL instance. Additionally, if an instance is having a problem, you can restore it to a previous state by using the backup to overwrite it. Enable automated backups for any instance that contains necessary data. Backups protect your data from loss or damage.
Enabling automated backups, along with binary logging, is also required for some operations, such as clone and replica creation.
Reference: https://cloud.google.com/sql/docs/mysql/backup-recovery/backups


NEW QUESTION # 79
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