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Salesforce Plat-Arch-206 Exam Syllabus Topics:

Section	Objectives
Heroku Platform	- Add-ons ecosystem and marketplace - Heroku architecture and components (dynos, dyno formation, process types) - App lifecycle management (releases, rollbacks, preboot) - Heroku CLI and deployment workflows (git push, GitHub integration) - Heroku Teams and enterprise account management - Heroku runtime and slug management - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - Configuration management (environment variables, config vars)
Heroku Enterprise	- Heroku Connect and Salesforce-to-Heroku data synchronization - Heroku Enterprise account management and governance - Regional deployment and data residency requirements - Private Space peering and VPN connections - Heroku Enterprise architecture and Private Spaces - Heroku External Objects and Connect REST APIs
Integrations	- Integration with Salesforce Platform Events and Change Data Capture - Heroku Button and deploy-to-Heroku workflows - Messaging and event-driven architecture (Kafka, Redis Pub/Sub) - Third-party service integration patterns (SaaS, APIs, webhooks) - Heroku Connect bidirectional sync with Salesforce CRM
Security	- TLS/SSL and certificate management - Identity and access management (SSO, Heroku Teams permissions) - Trusted IP ranges and firewall rules - Private Spaces and network isolation - Heroku Shield and HIPAA-compliant architectures - Compliance and security best practices (SOC 2, GDPR)
Data	- Data replication and high availability strategies - Heroku Postgres architecture, plans, and provisioning - Heroku Redis architecture and use cases - Database migrations and schema management - Heroku Postgres administration (backups, forks, followers, data clips) - Apache Kafka on Heroku architecture and use cases
Architecture and Application Design	- Worker processes, background jobs, and queue processing (Heroku Redis, Apache Kafka) - Continuous integration and continuous delivery (CI/CD) pipelines - API-first design and Heroku as a back-end for mobile/IoT apps - Microservices and service decomposition on Heroku - Performance tuning and scalability (autoscaling, dyno sizing) - 12-factor app methodology and best practices on Heroku

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Salesforce Certified Heroku Architect Sample Questions (Q103-Q108):

NEW QUESTION # 103
Heroku Connect data replication happens:

A. Instantly in both directions
B. Near real time for writes to Salesforce. and on a 30-second polling window for writes to Heroku Postgres
C. Near real time in both directions
D. Near real time for writes to Salesforce. and either on a polling window or near real time for writes to Heroku Postgres (depending on the user configuration)

Answer: D

NEW QUESTION # 104
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. The app in Asia should write to the Kafka instance in Virginia.
C. Provision a second Kafka add-on in Asia. Each instance of the app should sync with each other.
D. Use Heroku's multi-tenant Kafka Basic plan.

Answer: D

Explanation:
-https://www.heroku.com/tech-sessions/get-started-with-apache-kafka

NEW QUESTION # 105
A client's Heroku application is publishing messages to an instance of Apache Kafka on Heroku.
Whatdoes a second Heroku application need to do to consume those messages?

A. Subscribe to the Kafkatopic(s) that the messages are being published to.
B. Convert the publishing application into a stream processor.
C. Subscribe to the Kafka partition(s) that the messages are being published to.
D. Join a consumer group that also includes the publishing application.

Answer: C

Explanation:
- https://wwwxloudkarafka.com/blog/2016-11-30-part1-kafka-for-beginners-what-is- apache-kafka.html

NEW QUESTION # 106
Which two logs and logging recommendations are prescribed by the Twelve-Factor app methodology?
Choose 2 answers.

A. Apps should only keep a limited, rolling buffer of logs available
B. Logs should be written to a shared file system for scalability.
C. Apps should not concernthemselves with routing or storing logs
D. Logs from all processes and backing services should be aggregated together.

Answer: C,D

Explanation:
- https://devcenter heroku com/articles/internal-routing

NEW QUESTION # 107
The primary benefit of a workflow outbound message over an Apex trigger is:

A. The message can handle every database event.
B. The message can deliver the payload only as SOAP
C. The message supports different authentication mechanisms
D. Messages are completely declarative.

Answer: D

NEW QUESTION # 108
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