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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Designing for security and compliance	17.5%	- Securing data and communications 1. Key management and secret security 2. Encryption at rest and in transit - Enforcing compliance and governance 1. VPC Service Controls and security perimeters 2. Security controls, auditing, and logging - Implementing identity and access management 1. IAM roles, permissions, and service accounts 2. Organizational policies and resource hierarchy
Topic 2: Managing and provisioning solution infrastructure	15%	- Managing storage and data services 1. Cloud Storage, Filestore, Persistent Disk management 2. Database deployment, replication, and backup - Provisioning and managing compute resources 1. Auto-scaling and resource management 2. VMs, GKE, App Engine, Cloud Run deployment and management - Configuring network topologies and connectivity 1. VPC design, peering, and hybrid connectivity 2. Load balancing and CDN configuration
Topic 3: Managing implementation	12.5%	- Testing and validating solutions 1. Functional, performance, and security testing 2. Disaster recovery and failover testing - Using Google Cloud tools and APIs programmatically 1. Infrastructure as Code (Terraform, Deployment Manager) 2. Cloud SDK, Cloud Shell, and Cloud Code - Guiding development and deployment teams 1. CI/CD pipelines and automation 2. Application and infrastructure deployment strategies
Topic 4: Ensuring solution and operations excellence	12.5%	- Applying Well-Architected Framework principles 1. Operational excellence, reliability, security, cost, and performance pillars - Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis - Planning for continuous improvement 1. Technology updates and architecture evolution 2. Feedback loops and optimization cycles
Topic 5: Analyzing and optimizing technical and business processes	15%	- Improving reliability and performance 1. Latency reduction and throughput optimization 2. SLO, SLA, and error budgeting - Optimizing cost and resource efficiency 1. Resource right-sizing and usage monitoring 2. Committed use discounts and pricing models - Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment
Topic 6: Designing and planning a cloud solution architecture	25%	- Evaluating and selecting Google Cloud services 1. Serverless and managed service adoption 2. Compute, storage, database, and networking service selection - Designing cloud solution infrastructure aligned with business requirements 1. Scalability, high availability, and fault tolerance design 2. Cost optimization strategies 3. Compliance and regulatory requirements consideration - Planning cloud migration and hybrid/multi-cloud environments 1. Interoperability and integration design 2. Migration planning and execution 3. Data transfer and synchronization

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q282-Q287):

NEW QUESTION # 282
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?

A. The effective policy is the intersection of the policy set at the node and policies inherited from its ancestors
B. The effective policy is the policy set at the node and restricted by the policies of its ancestors
C. The effective policy is determined only by the policy set at the node
D. The effective policy is the union of the policy set at the node and policies inherited from its ancestors

Answer: B

Explanation:
Reference: https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy

NEW QUESTION # 283
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?

A. Persistent Volumes
B. Role-based access control
C. Container environment variables
D. StatefulSets

Answer: A

NEW QUESTION # 284
For this question, refer to the Mountkirk Games case study.
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

A. Verify that the database is online.
B. Verify that the load-testing team is not running their tool against production.
C. Verify that the project quota hasn't been exceeded.
D. Verify that the new feature code did not introduce any performance bugs.

Answer: C

Explanation:
Reference:
503 is service unavailable error. If the database was online everyone would get the 503 error.
https://cloud.google.com/docs/quota#capping_usage

NEW QUESTION # 285
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections.
What should you do?

A. Directly transfer the files to a different Google Cloud Regional Storage bucket location in US, EU, and Asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket
B. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket.
Run the ETL process using data in the bucket
C. Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in US, EU, and Asia. Run the ETL process using the data in the bucket
D. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in US, EU, and Asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket

Answer: A

NEW QUESTION # 286
You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

A. Write a lifecycle management rule in JSON and push it to the bucket with gsutil.
B. Write a lifecycle management rule in XML and push it to the bucket with gsutil.
C. Schedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.
D. Schedule a cron script using gsutil ls -1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.

Answer: D

NEW QUESTION # 287
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