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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q225-Q230):

NEW QUESTION # 225
For this question, refer to the Helicopter Racing League (HRL) case study. Recently HRL started a new regional racing league in Cape Town, South Afric a. In an effort to give customers in Cape Town a better user experience, HRL has partnered with the Content Delivery Network provider, Fastly. HRL needs to allow traffic coming from all of the Fastly IP address ranges into their Virtual Private Cloud network (VPC network). You are a member of the HRL security team and you need to configure the update that will allow only the Fastly IP address ranges through the External HTTP(S) load balancer. Which command should you use?

A. gcloud compute firewall rules update
sourceiplist-fastly \
priority 1000 \
allow tcp: 443
B. gcloud compute security policies rules update 1000 \
--security-policy hlr-policy \
--expression "evaluatePreconfiguredExpr('sourceiplist-fastly')" \
--action " allow"
C. gcloud compute priority-policies rules update
1000 \
security policy from fastly
--src- ip-ranges"
D. glouc compute firewall rules update hlr-policy \
--priority 1000 \
target tags-sourceiplist fastly \
--allow tcp:443

Answer: B

Explanation:
-- action " allow"
Reference:
D18912E1457D5D1DDCBD40AB3BF70D5D

NEW QUESTION # 226
You have deployed several instances on Compute Engine. As a security requirement, instances cannot have a public IP address. There is no VPN connection between Google Cloud and your office, and you need to connect via SSH into a specific machine without violating the security requirements. What should you do?

A. Add all instances to an unmanaged instance group. Configure TCP Proxy Load Balancing with the instance group as a backend. Connect to the instance using the TCP Proxy IP.
B. Configure Identity-Aware Proxy (IAP) for the instance and ensure that you have the role of IAP- secured Tunnel User. Use the gcloud command line tool to ssh into the instance.
C. Create a bastion host in the network to SSH into the bastion host from your office location. From the bastion host, SSH into the desired instance.
D. Configure Cloud NAT on the subnet where the instance is hosted. Create an SSH connection to the Cloud NAT IP address to reach the instance.

Answer: B

Explanation:
https://cloud.google.com/iap/docs/using-tcp-forward ing#tunneling_with_ssh Leveraging the BeyondCorp security model. " This January, we enhanced context-aware access capabilities in Cloud Identity-Aware Proxy (IAP) to help you protect SSH and RDP access to your virtual machines (VMs)- without needing to provide your VMs with public IP addresses, and without having to set up bastion hosts. "
https://cloud. google.com/blog/products/identity-security/cloud-iap-enables-context-aware-access-to-vms-via-ssh-and-rdp-without-bastion-hosts Reference: https://cloud.google.com/solutions/connecting-securely

NEW QUESTION # 227
You are working with a data warehousing team that performs data analysis. The team needs to process data from external partners, but the data contains personally identifiable information (PlI). You need to process and store the data without storing any of the Pll data. What should you do?

A. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline use the Cloud Data Loss Prevention (Cloud DLP) API to remove any Pll data Store the result in BigQuery
B. Ask the external partners to upload an data on Cloud Storage Configure Bucket Lock for the bucket Create a Dataflow pipeline to read the data from the bucket As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DIP) API to remove any Pll data Store the result in BigQuery
C. Ask the external partners to import ail data in your BigQuery dataset Create a dataflow pipeline to copy the data into a new table As part of the Dataflow bucket skip all data in columns that have Pll data
D. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline store all non-PII data in BigQuery and store all Pll data in a Cloud Storage bucket that has a retention policy set.

Answer: A

Explanation:
Explanation
Create a Dataflow pipeline to retrieve the data from the external sources, he did not specify the way he is going to create it, it might be a pub/sub or external table or whatever.

NEW QUESTION # 228
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?

A. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
B. Upload missing JAR files and redeploy your application.
C. Digitally sign all of your JAR files and redeploy your application

Answer: C

NEW QUESTION # 229
For this question refer to the TerramEarth case study.
Which of TerramEarth's legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption.

A. Opex/capex allocation, LAN changes, capacity planning
B. Data Center expansion, TCO calculations, utilization measurement
C. Capacity planning, TCO calculations, opex/capex allocation
D. Capacity planning, utilization measurement, data center expansion

Answer: C

Explanation:
Explanation
Capacity planning, TCO calculations, opex/capex allocation From the case study, it can conclude that Management (CXO) all concern rapid provision of resources (infrastructure) for growing as well as cost management, such as Cost optimization in Infrastructure, trade up front capital expenditures (Capex) for ongoing operating expenditures (Opex), and Total cost of ownership (TCO)

NEW QUESTION # 230
......

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