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| Section | Objectives |
|---|---|
| Topic 1: Data | - Heroku Redis architecture and use cases - Heroku Postgres administration (backups, forks, followers, data clips) - Database migrations and schema management - Heroku Postgres architecture, plans, and provisioning - Apache Kafka on Heroku architecture and use cases - Data replication and high availability strategies |
| Topic 2: Security | - Heroku Shield and HIPAA-compliant architectures - Trusted IP ranges and firewall rules - Compliance and security best practices (SOC 2, GDPR) - Identity and access management (SSO, Heroku Teams permissions) - Private Spaces and network isolation - TLS/SSL and certificate management |
| Topic 3: Integrations | - Messaging and event-driven architecture (Kafka, Redis Pub/Sub) - Integration with Salesforce Platform Events and Change Data Capture - Third-party service integration patterns (SaaS, APIs, webhooks) - Heroku Connect bidirectional sync with Salesforce CRM - Heroku Button and deploy-to-Heroku workflows |
| Topic 4: Heroku Enterprise | - Heroku External Objects and Connect REST APIs - Heroku Enterprise architecture and Private Spaces - Regional deployment and data residency requirements - Private Space peering and VPN connections - Heroku Connect and Salesforce-to-Heroku data synchronization - Heroku Enterprise account management and governance |
| Topic 5: Heroku Platform | - Configuration management (environment variables, config vars) - Heroku architecture and components (dynos, dyno formation, process types) - Heroku Teams and enterprise account management - Heroku runtime and slug management - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - Heroku CLI and deployment workflows (git push, GitHub integration) - App lifecycle management (releases, rollbacks, preboot) - Add-ons ecosystem and marketplace |
| Topic 6: Architecture and Application Design | - Performance tuning and scalability (autoscaling, dyno sizing) - API-first design and Heroku as a back-end for mobile/IoT apps - Microservices and service decomposition on Heroku - Worker processes, background jobs, and queue processing (Heroku Redis, Apache Kafka) - 12-factor app methodology and best practices on Heroku - Continuous integration and continuous delivery (CI/CD) pipelines |
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NEW QUESTION # 65
A company currently uses, and will continue to use, the MulesoftAnypoint Platform integration throughout their architecture. They want to use Heroku Connect to help them integrate Heroku apps with Salesforce apps.
What is a benefit of introducing Heroku Connect in this environment?
Answer: D
NEW QUESTION # 66
To satisfy the requirements of an upcoming compliance audit, a client must provide a record of all interactive commands run against a production application in the last six months. Which Heroku feature should an Architect recommend to help with this use case?
Answer: A
Explanation:
-https://devcenter.heroku.com/articles/event-driven-microservices-with-apache-kafka
NEW QUESTION # 67
A client has a web application that persists data to a local JSON file. They are migrating the application to Heroku. In order for the application to conform to the Twelve-Factor methodology, what changes should an Architect recommend?
Answer: B
NEW QUESTION # 68
A client has 3 Heroku applications: App 1, App 2, App 3. They would like to restrict external web traffic to App 3 only. Which two Heroku features should an Architect recommend to enable this architecture?
Answer: B
NEW QUESTION # 69
What are 3 examples of backing services, as described in the Twelve Factor app methodology?
Answer: B,C,D
Explanation:
- https/Vdevcenter heroku.com/articles/internal-routing
NEW QUESTION # 70
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