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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Analyzing and optimizing technical and business processes- Analyzing and defining business processes
  • 1. Stakeholder communication
  • 2. Business KPIs and metrics
  • 3. Cost management and optimization
- Analyzing and defining technical processes
  • 1. CI/CD pipeline design
  • 2. Incident management and troubleshooting
  • 3. Software development lifecycle (SDLC)
Designing for security and compliance- Designing for compliance
  • 1. Data residency and sovereignty
  • 2. Regulatory and compliance requirements
  • 3. Audit logging and monitoring
- Designing for security
  • 1. Data security and encryption
  • 2. Application security
  • 3. Network security
  • 4. Identity and Access Management (IAM)
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
Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. Private access and VPN configuration
  • 2. Hybrid and multi-cloud connectivity
  • 3. VPC design and peering
- Configuring individual storage systems
  • 1. Cloud Storage configuration
  • 2. Datastore and Bigtable
  • 3. Cloud SQL and Spanner
- Configuring compute systems
  • 1. Cloud Run and Cloud Functions
  • 2. GKE configuration and management
  • 3. Compute Engine configuration
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. Release management and versioning
  • 2. Deployment strategies and rollback
- Monitoring/logging/profiling/alerting solution
  • 1. Error reporting and alerting
  • 2. Performance profiling and tracing
  • 3. Cloud Monitoring and Cloud Logging
Designing and planning a cloud solution architecture- Enabling future cloud technology
  • 1. Implementing future-proof architectures
  • 2. Designing for scalability and elasticity
- Designing network, storage, and compute resources
  • 1. Network design including load balancing and firewall rules
  • 2. Compute engine selection and configuration
  • 3. Storage options and data lifecycle management
  • 4. GKE cluster and workload design
- Designing solution infrastructure that meets business requirements
  • 1. Migration planning
  • 2. Integration with existing systems
  • 3. Cost optimization
  • 4. Business use cases and product strategy
  • 5. Networking and compute resources
  • 6. Data and storage architecture
- Creating a migration plan
  • 1. Refactoring and rearchitecting applications
  • 2. Identifying workloads for migration
  • 3. Planning data migration

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q152-Q157):

NEW QUESTION # 152
For this question, refer to the EHR Healthcare case study. You are responsible for ensuring that EHR's use of Google Cloud will pass an upcoming privacy compliance audit. What should you do? (Choose two.)

Answer: A,D

Explanation:
Explanation
https://cloud.google.com/security/compliance/hipaa


NEW QUESTION # 153
Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?

Answer: A

Explanation:
https://cloud.google.com/compute/docs/instances/sql-server/best-practices


NEW QUESTION # 154
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: A

Explanation:
Adding additional tunnels only help if you have the bandwidth to support it. The latency is likely a result of an unreliable connection, which additional tunnels will not help with.
From the description, the primary fault lies in the fact that their connection is too slow and unreliable. A Dedicated Interconnect will give them the speed and reliability they need to complete the transfer.


NEW QUESTION # 155
You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload.
What should you do?

Answer: B


NEW QUESTION # 156
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space.
How can you remediate the problem with the least amount of downtime?

Answer: A

Explanation:
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
Reference: https://cloud.google.com/compute/docs/disks/add-persistent-disk


NEW QUESTION # 157
......

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