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Salesforce Plat-Arch-206 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Heroku Enterprise | - Heroku Connect and Salesforce-to-Heroku data synchronization - Regional deployment and data residency requirements - Private Space peering and VPN connections - Heroku External Objects and Connect REST APIs - Heroku Enterprise architecture and Private Spaces - Heroku Enterprise account management and governance |
| Heroku Platform | - Add-ons ecosystem and marketplace - Heroku runtime and slug management - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - Heroku architecture and components (dynos, dyno formation, process types) - Configuration management (environment variables, config vars) - App lifecycle management (releases, rollbacks, preboot) - Heroku CLI and deployment workflows (git push, GitHub integration) - Heroku Teams and enterprise account management |
| Integrations | - Third-party service integration patterns (SaaS, APIs, webhooks) - Messaging and event-driven architecture (Kafka, Redis Pub/Sub) - Heroku Button and deploy-to-Heroku workflows - Integration with Salesforce Platform Events and Change Data Capture - Heroku Connect bidirectional sync with Salesforce CRM |
| Security | - Private Spaces and network isolation - Identity and access management (SSO, Heroku Teams permissions) - Compliance and security best practices (SOC 2, GDPR) - TLS/SSL and certificate management - Heroku Shield and HIPAA-compliant architectures - Trusted IP ranges and firewall rules |
| Architecture and Application Design | - 12-factor app methodology and best practices on Heroku - Microservices and service decomposition on Heroku - Performance tuning and scalability (autoscaling, dyno sizing) - Worker processes, background jobs, and queue processing (Heroku Redis, Apache Kafka) - API-first design and Heroku as a back-end for mobile/IoT apps - Continuous integration and continuous delivery (CI/CD) pipelines |
| Data | - Data replication and high availability strategies - Heroku Redis architecture and use cases - Heroku Postgres architecture, plans, and provisioning - Database migrations and schema management - Apache Kafka on Heroku architecture and use cases - Heroku Postgres administration (backups, forks, followers, data clips) |
Salesforce Certified Heroku Architect Sample Questions:
Question 1
Universal Containers (UC) has a front-end web application and a back-end service application running on Heroku. The applications are running in the Common Runtime. Now, UC wants to prevent any public access to the back-end application. Which two Heroku features should an Architect propose?
A. Apache Kafka on Heroku
B. Private Space VPN Connections
C. Heroku Internal Routing
D. Private Spaces DNS Service Discovery
Question 2
A client has data in a Heroku Postgres table. They want to generate analytics based on the table and make the results available in their Salesforce org. Their Salesforce administratorwants to minimize the amount of data that is written to Salesforce to accomplish this. Which strategy should an Architect recommend on this scenario?
A. Use the Heroku application to generate analytics, and write the results to a separate Heroku Postgres table-Expose that table to the Salesforce org with Heroku External Objects.
B. Use the Heroku application to generate analytics, and write the results to the Salesforce org with the Salesforce Bulk API.
C. Use the Heroku application to generate analytics and write them to a separate Heroku Postgres table.Sync that table to the Salesforce org with Heroku Connect.
D. Use Heroku Connect to sync the Heroku Postgres table to the Salesforce org, and generate analytics fromthe Salesforce org.
Question 3
Universal Containers (UC) has a Heroku application that runs in Virginia, in the U.S., that uses Apache Kafka on Heroku. They have deployed a copy of the app in Asia. Now, both apps need a messaging backbone that will support multi-region distribution.
What is the least complex architecture that an Architect should recommend?
A. Deploy a multi-region version of Apache Kafka on Heroku.
B. Use Heroku's multi-tenant Kafka Basic plan.
C. Provision a second Kafka add-on in Asia. Each instance of the app should sync with each other.
D. The app in Asia should write to the Kafka instance in Virginia.
Question 4
Universal Containers is preparing to deploy a high-volume production web application to the Heroku Common Runtime. Which two best practices should an Architectrecommend for large-scale load testing of the application? Choose 2 answers.
A. Disable autoscaling to prevent applicationstartup overhead from skewing results
B. Open a ticket with Heroku support for approval.
C. Move the apps into a Private Space to provide an isolated test environment
D. Ensure that the application runs on Performance-tier dynos
Question 5
A customer's Heroku Redis instance regularly reaches its storage limit. Besides upgrading to a bigger plan, what solution should an Architect recommend for this scenario?
A. Create a fork of the primary Heroku Redis instance.
B. Failover to ephemeral filesystem for the running dyno
C. Explore a different key eviction scheme.
D. Migrate the data to a Heroku Postgres database
Solutions:
| Question 1 Answer: B,D | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: B,D | Question 5 Answer: C |








