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Salesforce Plat-Arch-206 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Heroku Enterprise | - Heroku Connect and Salesforce-to-Heroku data synchronization - Private Space peering and VPN connections - Heroku Enterprise architecture and Private Spaces - Heroku Enterprise account management and governance - Regional deployment and data residency requirements - Heroku External Objects and Connect REST APIs |
| Topic 2: Data | - Heroku Postgres administration (backups, forks, followers, data clips) - Heroku Redis architecture and use cases - Data replication and high availability strategies - Heroku Postgres architecture, plans, and provisioning - Database migrations and schema management - Apache Kafka on Heroku architecture and use cases |
| Topic 3: Heroku Platform | - App lifecycle management (releases, rollbacks, preboot) - Heroku CLI and deployment workflows (git push, GitHub integration) - Heroku runtime and slug management - Add-ons ecosystem and marketplace - Heroku architecture and components (dynos, dyno formation, process types) - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - Configuration management (environment variables, config vars) - Heroku Teams and enterprise account management |
| Topic 4: Security | - Trusted IP ranges and firewall rules - Private Spaces and network isolation - Identity and access management (SSO, Heroku Teams permissions) - Compliance and security best practices (SOC 2, GDPR) - Heroku Shield and HIPAA-compliant architectures - TLS/SSL and certificate management |
| Topic 5: Architecture and Application Design | - Microservices and service decomposition on Heroku - Continuous integration and continuous delivery (CI/CD) pipelines - Worker processes, background jobs, and queue processing (Heroku Redis, Apache Kafka) - API-first design and Heroku as a back-end for mobile/IoT apps - Performance tuning and scalability (autoscaling, dyno sizing) - 12-factor app methodology and best practices on Heroku |
| Topic 6: Integrations | - Integration with Salesforce Platform Events and Change Data Capture - Heroku Button and deploy-to-Heroku workflows - Third-party service integration patterns (SaaS, APIs, webhooks) - Heroku Connect bidirectional sync with Salesforce CRM - Messaging and event-driven architecture (Kafka, Redis Pub/Sub) |
Salesforce Certified Heroku Architect Sample Questions:
Question 1
Universal Containers has a Heroku Private Space with a VPN connection to their on-premise network. They want their remote employees to be able to access their Heroku applications using a VPN connection only.
Which solution should an Architect recommend?
A. Clone the Heroku applications to a second Private Space, and configure its VPN for remote employees.
B. Enable remote employees to VPN into the company's on-premise network.
C. Add all remote employees to an Enterprise Team, and configure it to connect to the Private Space via SSO.
D. Configure a second VPN connection for the Private Space that remote employees can use.
Question 2
Universal Containers acquires a company that runs an application on Google Cloud Platform (GCP). TheGCP application needs to communicate securely with a Heroku application. The Heroku application has Internal Routing enabled and is running in a Private Space. Which two recommendations should an Architect make to satisfy this use case? Choose 2 answers.
A. Ensure that the Private Space and GCP use distinct CIDR ranges
B. Disable Internal Routing on the Heroku app.
C. Establish a secure site-to-site VPN connection between the Private Spaceand GCP.
D. Ensure that the Private Space and GCP use matching CIDR ranges.
Question 3
A customer wants to sync data between their Salesforce org and Heroku Postgres.
Which two limitations should an Architect remember when recommending Heroku Connect? (Choose two.)
A. Heroku Connect cannot sync custom objects.
B. Heroku Connect does not support all Salesforce objects and fields.
C. HerokuConnect can only access fields and objects that its associated Salesforce integration user can access.
D. Heroku Connect does not provide an API.
Question 4
A customer would like to analyze data stored in a single, large, high-traffic Heroku Postgres database using a reporting tool that runslong-running, expensive read queries. What reporting architecture should be recommended?
A client wants to create a Heroku web application that needs to provide a low-latency experience for its users, who are based primarily in Japan. Many common user actions will result in synchronous writes to the application's Heroku Postgres database. The application does not have advanced compliance requirements.
Which should an Architect recommend?
A. Deploy the application to the Common Runtime in the U.S region and use a CDN to accelerate content delivery
B. Deploy the application to the Common Runtime in the Tokyo region
C. Deploy the application to a Shield Private Space In the Tokyo region
D. Deploy the application to a Private Space in the Tokyo region
Question 5
Universal Containers (UC) has an app that allows a costumer to schedule a compute-intensive job. It allows the costumer to schedule the job on an ad-hoc basis. UC has decided to break up the app into the following services: - Website: an Interface for their costumers; -Billing: generates monthly invoices based on usage metrics; - Traffic Cop: manages the job queue, job definitions and job schedule; - Job Runner; runs jobs that Traffic Cop queues up. It Is responsible for self-introspection and self-scaling. UC also wants to createa data lake for analytics. What foundational technology and design should an Architect use to manage communication between these services?
A. Apache Kafka on Heroku as a bus between all services Create topics for billing, jobs, and website clicks Create an additional service, which will subscribe for all topics, and dump every message into a data lake
B. Heroku Connect and Salesforce Sync all relevant data into Salesforce and allow it to flow into each service Create custom objects for each serviceand alow them to post to each others' objects as needed.
Push data from Salesforce into Heroku Postgres for a data lake.
C. Heroku Redis, create a large Redis store. Allow each service to place messages with an agreed-upon format into a single queue, backed by the Redis storeServices listen for messages addressed to them and take action on them. Redis will serve as the data lake.
D. Apache Kafka on Heroku Create a Kafka queue for each service. Create a central routing service that connects to all of the Kafka queues and routes data. The central router is attached to a data lake, and pushes every message into It.
Solutions:
| Question 1 Answer: D | Question 2 Answer: A,C | Question 3 Answer: C,D | Question 4 Answer: D | Question 5 Answer: A |


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