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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q346-Q351):

NEW QUESTION # 346
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

Answer: A


NEW QUESTION # 347
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled. Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References:
https://cloud.google.com/sdk/gcloud/reference/container/clusters/create


NEW QUESTION # 348
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

Answer: B

Explanation:
Filestore is fully managed network attached storage and it scales to 100s of TBs for high- performance workloads. Gcsfuse is a user-space file system for interacting with Google Cloud Storage. As with the other access methods, Cloud Storage does not support concurrency and locking. For example, if multiple Cloud Storage FUSE clients are writing to the same file, the last flush wins.
https://cloud.google.com/storage/docs/gcs-fuse


NEW QUESTION # 349
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: C

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.
References:
https://cloud.google.com/compute/docs/disks/add-persistent-disk


NEW QUESTION # 350
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

Answer: C

Explanation:
Explanation/Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/


NEW QUESTION # 351
......

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