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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q56-Q61):

NEW QUESTION # 56
Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours.
Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?

Answer: C

Explanation:
Reference: https://cloud.google.com/blog/products/it-ops/best-practices-for-optimizing-your-cloud-costs


NEW QUESTION # 57
Your development team has created a mobile game app. You want to test the new mobile app on Android and iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective. What should you do?

Answer: B


NEW QUESTION # 58
For this question, refer to the Helicopter Racing League (HRL) case study. Your team is in charge of creating a payment card data vault for card numbers used to bill tens of thousands of viewers, merchandise consumers, and season ticket holders. You need to implement a custom card tokenization service that meets the following requirements:
* It must provide low latency at minimal cost.
* It must be able to identify duplicate credit cards and must not store plaintext card numbers.
* It should support annual key rotation.
Which storage approach should you adopt for your tokenization service?

Answer: D

Explanation:
Topic 10, EHR Health Care
Company overview
EHR Healthcare is a leading provider of electronic health record software to the medical industry. EHR Healthcare provides their software as a service to multi-national medical offices, hospitals, and insurance providers.
Solution concept
Due to rapid changes in the healthcare and insurance industry, EHR Healthcare's business has been growing exponentially year over year. They need to be able to scale their environment, adapt their disaster recovery plan, and roll out new continuous deployment capabilities to update their software at a fast pace. Google Cloud has been chosen to replace their current colocation facilities.
Existing technical environment
EHR's software is currently hosted in multiple colocation facilities. The lease on one of the data centers is about to expire.
Customer-facing applications are web-based, and many have recently been containerized to run on a group of Kubernetes clusters. Data is stored in a mixture of relational and NoSQL databases (MySQL, MS SQL Server, Redis, and MongoDB).
EHR is hosting several legacy file- and API-based integrations with insurance providers on-premises. These systems are scheduled to be replaced over the next several years. There is no plan to upgrade or move these systems at the current time.
Users are managed via Microsoft Active Directory. Monitoring is currently being done via various open source tools. Alerts are sent via email and are often ignored.
Business requirements
* On-board new insurance providers as quickly as possible.
* Provide a minimum 99.9% availability for all customer-facing systems.
* Provide centralized visibility and proactive action on system performance and usage.
* Increase ability to provide insights into healthcare trends.
* Reduce latency to all customers.
* Maintain regulatory compliance.
* Decrease infrastructure administration costs.
* Make predictions and generate reports on industry trends based on provider data.
Technical requirements
* Maintain legacy interfaces to insurance providers with connectivity to both on-premises systems and cloud providers.
* Provide a consistent way to manage customer-facing applications that are container-based.
* Provide a secure and high-performance connection between on-premises systems and Google Cloud.
* Provide consistent logging, log retention, monitoring, and alerting capabilities.
* Maintain and manage multiple container-based environments.
* Dynamically scale and provision new environments.
* Create interfaces to ingest and process data from new providers.
Executive statement
Our on-premises strategy has worked for years but has required a major investment of time and money in training our team on distinctly different systems, managing similar but separate environments, and responding to outages. Many of these outages have been a result of misconfigured systems, inadequate capacity to manage spikes in traffic, and inconsistent monitoring practices. We want to use Google Cloud to leverage a scalable, resilient platform that can span multiple environments seamlessly and provide a consistent and stable user experience that positions us for future growth.


NEW QUESTION # 59
Your architecture calls for the centralized collection of all admin activity and VM system logs within your project.
How should you collect these logs from both VMs and services?

Answer: B

Explanation:
Explanation
Reference https://cloud.google.com/logging/docs/agent/


NEW QUESTION # 60
Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used. How should you design your architecture?

Answer: D


NEW QUESTION # 61
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