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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q284-Q289):

NEW QUESTION # 284
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting.
There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

Answer: B

Explanation:
Explanation
Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:
Developers are working with applications that create massive volumes of new, rapidly changing data types - structured, semi-structured, unstructured and polymorphic data.


NEW QUESTION # 285
Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process. What should you do?

Answer: D

Explanation:
Export the logs to Google Cloud Storage bucket - Archive Storage, as it will not be used for 1 year, price for which is $0.004 per GB per Month. The price for long term storage in BigQuery is $0.01 per GB per Month (250% more). Also for analysis purpose, whenever Auditors are there(once per year), you can use BigQuery and use GCS bucket as external data source. BigQuery supports querying Cloud Storage data from these storage classes:
Standard Nearline Coldline Archive


NEW QUESTION # 286
As part of implementing their disaster recovery plan, your company is trying to replicate their production MySQL database from their private data center to their GCP project using a Google Cloud VPN connection.
They are experiencing latency issues and a small amount of packet loss that is disrupting the replication. What should they do?

Answer: E


NEW QUESTION # 287
Your employer is a financial services company that recently acquired a popular fintech startup.
The startup's core application is a monolithic Python application running on a managed instance group of Compute Engine virtual machines with a single, large PostgreSQL database. Your development team struggles with slow deployment cycles, and the monolithic design of the startup's core application makes it difficult to integrate new. ML-powered fraud detection models.
You need a long-term strategy that improves developer agility and positions the company to leverage Google Cloud's advanced data and AI capabilities for future innovations. What should you do?

Answer: D

Explanation:
A phased, event-driven migration to microservices decouples the monolithic application, enabling faster, independent deployments and significantly improving developer agility. Using Pub/Sub allows scalable, asynchronous communication between services, while deploying fraud detection models on Vertex AI integrates Google Cloud's advanced AI capabilities in a flexible, future-ready architecture without requiring a disruptive full rewrite upfront.


NEW QUESTION # 288
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?

Answer: B

Explanation:
https://cloud.google.com/solutions/dr-scenarios-planning-guide


NEW QUESTION # 289
......

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