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| Section | Weight | Objectives |
|---|
| Designing and planning a cloud solution architecture | 25% | - Planning cloud migration and hybrid/multi-cloud environments
- 1. Interoperability and integration design
- 2. Migration planning and execution
- 3. Data transfer and synchronization
- Designing cloud solution infrastructure aligned with business requirements
- 1. Compliance and regulatory requirements consideration
- 2. Cost optimization strategies
- 3. Scalability, high availability, and fault tolerance design
- Evaluating and selecting Google Cloud services
- 1. Compute, storage, database, and networking service selection
- 2. Serverless and managed service adoption
|
| Analyzing and optimizing technical and business processes | 15% | - Improving reliability and performance
- 1. Latency reduction and throughput optimization
- 2. SLO, SLA, and error budgeting
- Streamlining operational workflows
- 1. Change management and incident response
- 2. Stakeholder communication and alignment
- Optimizing cost and resource efficiency
- 1. Committed use discounts and pricing models
- 2. Resource right-sizing and usage monitoring
|
| Ensuring solution and operations excellence | 12.5% | - Planning for continuous improvement
- 1. Feedback loops and optimization cycles
- 2. Technology updates and architecture evolution
- 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
|
| Managing implementation | 12.5% | - Guiding development and deployment teams
- 1. CI/CD pipelines and automation
- 2. Application and infrastructure deployment strategies
- 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
|
| Designing for security and compliance | 17.5% | - Enforcing compliance and governance
- 1. Security controls, auditing, and logging
- 2. VPC Service Controls and security perimeters
- Implementing identity and access management
- 1. Organizational policies and resource hierarchy
- 2. IAM roles, permissions, and service accounts
- Securing data and communications
- 1. Encryption at rest and in transit
- 2. Key management and secret security
|
| Managing and provisioning solution infrastructure | 15% | - Configuring network topologies and connectivity
- 1. VPC design, peering, and hybrid connectivity
- 2. Load balancing and CDN configuration
- Managing storage and data services
- 1. Database deployment, replication, and backup
- 2. Cloud Storage, Filestore, Persistent Disk management
- Provisioning and managing compute resources
- 1. Auto-scaling and resource management
- 2. VMs, GKE, App Engine, Cloud Run deployment and management
|
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q289-Q294):
NEW QUESTION # 289
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?
- A. Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.
- B. Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
- C. Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.
- D. Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
Answer: A
Explanation:
Explanation
https://cloud.google.com/bigtable/docs/schema-design-time-series
NEW QUESTION # 290
You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload. What should you do?
- A. Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the GCP Console.
- B. Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed instance group for the cluster using the gcloud command.
- C. Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.
- D. Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the cluster managed instance group from the GCP Console.
Answer: B
NEW QUESTION # 291
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?
- A. Have the old API forward traffic to the new API based on the path.
- B. Reconfigure old clients to use a new endpoint for the new API.
- C. Configure a new load balancer for the new version of the API.
- D. Use separate backend pools for each API path behind the load balancer.
Answer: B
NEW QUESTION # 292
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?
- A. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
- B. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
- C. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
- D. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
Answer: B
NEW QUESTION # 293
Case Study: 5 - Dress4win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster.
Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
* - MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
* - Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
* - Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
* - Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
* - 8 core CPUs
- 32GB of RAM
Miscellaneous servers:
* - Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* - 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
* - 100 TB total storage; 35 TB available
Business Requirements
Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access
* Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Technical Requirements
Easily create non-production environment in the cloud.
* Implement an automation framework for provisioning resources in cloud.
* Implement a continuous deployment process for deploying applications to the on-premises
* datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
* Encrypt data on the wire and at rest.
* Support multiple private connections between the production data center and cloud
* environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the requirements.
Considering Dress4Win's business and technical requirements, what should you do?
- A. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Encrypt data with a customer-supplied encryption key when storing files in Cloud Storage. - B. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.
- C. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Utilize Google's default encryption at rest when storing files in Cloud Storage.
- D. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Enable default storage encryption before storing files in Cloud Storage.
Answer: A
NEW QUESTION # 294
......
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