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| Section | Weight | Objectives |
|---|
| Topic 1: Ensuring solution and operations excellence | 12.5% | - Planning for continuous improvement
- 1. Feedback loops and optimization cycles
- 2. Technology updates and architecture evolution
- 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: 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. VPC Service Controls and security perimeters
- 2. Security controls, auditing, and logging
|
| Topic 3: Managing implementation | 12.5% | - Guiding development and deployment teams
- 1. Application and infrastructure deployment strategies
- 2. CI/CD pipelines and automation
- Testing and validating solutions
- 1. Disaster recovery and failover testing
- 2. Functional, performance, and security testing
- Using Google Cloud tools and APIs programmatically
- 1. Cloud SDK, Cloud Shell, and Cloud Code
- 2. Infrastructure as Code (Terraform, Deployment Manager)
|
| Topic 4: Managing and provisioning solution infrastructure | 15% | - Provisioning and managing compute resources
- 1. Auto-scaling and resource management
- 2. VMs, GKE, App Engine, Cloud Run deployment and management
- Managing storage and data services
- 1. Database deployment, replication, and backup
- 2. Cloud Storage, Filestore, Persistent Disk management
- Configuring network topologies and connectivity
- 1. Load balancing and CDN configuration
- 2. VPC design, peering, and hybrid connectivity
|
| Topic 5: Designing and planning a cloud solution architecture | 25% | - Designing cloud solution infrastructure aligned with business requirements
- 1. Cost optimization strategies
- 2. Scalability, high availability, and fault tolerance design
- 3. Compliance and regulatory requirements consideration
- Evaluating and selecting Google Cloud services
- 1. Serverless and managed service adoption
- 2. Compute, storage, database, and networking service selection
- Planning cloud migration and hybrid/multi-cloud environments
- 1. Migration planning and execution
- 2. Interoperability and integration design
- 3. Data transfer and synchronization
|
| Topic 6: 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
|
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q304-Q309):
NEW QUESTION # 304
Your team will start developing a new application using microservices architecture on Kubernetes Engine. As part of the development lifecycle, any code change that has been pushed to the remote develop branch on your GitHub repository should be built and tested automatically. When the build and test are successful, the relevant microservice will be deployed automatically in the development environment. You want to ensure that all code deployed in the development environment follows this process. What should you do?
- A. Create a Cloud Build trigger based on the development branch to build a new container image and store it in Container Registry. Rely on Vulnerability Scanning to ensure the code tests succeed. As the final step of the Cloud Build process, deploy the new container image on the development cluster. Ensure only Cloud Build has access to deploy new versions.
- B. Install a post-commit hook on the remote git repository that tests the code and builds the container when code is pushed to the development branch. After a successful commit, have the developer deploy the newly built container image on the development cluster.
- C. Have each developer install a pre-commit hook on their workstation that tests the code and builds the container when committing on the development branch. After a successful commit, have the developer deploy the newly built container image on the development cluster.
- D. Create a Cloud Build trigger based on the development branch that tests the code, builds the container, and stores it in Container Registry. Create a deployment pipeline that watches for new images and deploys the new image on the development cluster. Ensure only the deployment tool has access to deploy new versions.
Answer: C
NEW QUESTION # 305
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?
- A. Implement routinely scheduled failovers of your databases.
- B. Create snapshots of your database more regularly.
- C. Choose larger instances for your database.
- D. Use a different database.
Answer: A
Explanation:
https://cloud.google.com/solutions/disaster-recovery-cookbook
NEW QUESTION # 306
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSS- compliant. Which of the following is most accurate?
- A. All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.
- B. Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.
- C. App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.
- D. Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
Answer: D
NEW QUESTION # 307
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?
- A. Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
- B. From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.
- C. Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.
- D. Use the gcloud recommender command to list the idle virtual machine instances.
Answer: D
Explanation:
Reference: https://cloud.google.com/compute/docs/instances/viewing-and-applying-idle-vm-recommendations
NEW QUESTION # 308
For this question, refer to the Dress4Win case study.
Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?
- A. 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.
- B. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
- C. 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.
- D. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
Answer: A
Explanation:
Topic 5, Dress4Win Case 2
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.
NEW QUESTION # 309
......
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