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| Section | Objectives |
|---|---|
| Heroku Enterprise | - 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 - Heroku Enterprise account management and governance - Heroku Connect and Salesforce-to-Heroku data synchronization |
| Architecture and Application Design | - 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 - Microservices and service decomposition on Heroku - Performance tuning and scalability (autoscaling, dyno sizing) - API-first design and Heroku as a back-end for mobile/IoT apps |
| Data | - Database migrations and schema management - Heroku Postgres administration (backups, forks, followers, data clips) - Heroku Postgres architecture, plans, and provisioning - Heroku Redis architecture and use cases - Apache Kafka on Heroku architecture and use cases - Data replication and high availability strategies |
| Security | - Private Spaces and network isolation - 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 - Identity and access management (SSO, Heroku Teams permissions) |
| Integrations | - Integration with Salesforce Platform Events and Change Data Capture - Third-party service integration patterns (SaaS, APIs, webhooks) - Heroku Button and deploy-to-Heroku workflows - Messaging and event-driven architecture (Kafka, Redis Pub/Sub) - Heroku Connect bidirectional sync with Salesforce CRM |
| Heroku Platform | - Configuration management (environment variables, config vars) - Add-ons ecosystem and marketplace - Heroku Teams and enterprise account management - Heroku CLI and deployment workflows (git push, GitHub integration) - Heroku runtime and slug management - Heroku architecture and components (dynos, dyno formation, process types) - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - App lifecycle management (releases, rollbacks, preboot) |
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NEW QUESTION # 44
You can use Heroku Connect for:
Answer: A
NEW QUESTION # 45
A client wants to migrate their on-premise application to Heroku. The application maintains a local, in- memory cache for its datastore to improve performance.
What should an Architect advise the client about running the application on Heroku?
Answer: A
NEW QUESTION # 46
A client has a Heroku Postgres database add-on attached to a production application. The client now wants to access the database from another application that they use to perform administrative tasks. What should an Architect recommend in this scenario?
Answer: A
Explanation:
-https://devcenter.heroku.eom/articles/using-sso-services-with-heroku#prerequisiles-for-sso-with-tieroku
NEW QUESTION # 47
Which two conventions of the Heroku platform reflect the Twelve-Factor methodology's recommendation to
"execute the app as one or more stateless processes?" (Choose two.)
Answer: A,D
NEW QUESTION # 48
At Universal Containers (UC), a developer named Yuichiro wrote a PHP application that, in production, uses a MySQL database. Yuichiro is onboarding Mary, a new UC developer, who is setting up her development environment. Yuichiro asks Mary to:
1) install the related PHP libraries manually so the application will run;
2) use MongoDB, instead of MySQL, in the development environment.
According to the Twelve-Factor methodology, which changes should an Architect recommend?
Answer: B
NEW QUESTION # 49
......
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