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| Section | Objectives |
|---|---|
| Architecture and Application Design | - 12-factor app methodology and best practices on Heroku - Worker processes, background jobs, and queue processing (Heroku Redis, Apache Kafka) - Continuous integration and continuous delivery (CI/CD) pipelines - Microservices and service decomposition on Heroku - API-first design and Heroku as a back-end for mobile/IoT apps - Performance tuning and scalability (autoscaling, dyno sizing) |
| Security | - Heroku Shield and HIPAA-compliant architectures - Trusted IP ranges and firewall rules - Identity and access management (SSO, Heroku Teams permissions) - Compliance and security best practices (SOC 2, GDPR) - Private Spaces and network isolation - TLS/SSL and certificate management |
| Data | - Apache Kafka on Heroku architecture and use cases - Heroku Postgres administration (backups, forks, followers, data clips) - Database migrations and schema management - Data replication and high availability strategies - Heroku Redis architecture and use cases - Heroku Postgres architecture, plans, and provisioning |
| Heroku Enterprise | - Heroku Enterprise account management and governance - Regional deployment and data residency requirements - Heroku Enterprise architecture and Private Spaces - Heroku Connect and Salesforce-to-Heroku data synchronization - Private Space peering and VPN connections - Heroku External Objects and Connect REST APIs |
| Integrations | - 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) - Integration with Salesforce Platform Events and Change Data Capture |
| Heroku Platform | - App lifecycle management (releases, rollbacks, preboot) - Heroku Teams and enterprise account management - Heroku architecture and components (dynos, dyno formation, process types) - Heroku runtime and slug management - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - Configuration management (environment variables, config vars) - Add-ons ecosystem and marketplace - Heroku CLI and deployment workflows (git push, GitHub integration) |
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NEW QUESTION # 57
A client wants to deconstruct a monolithic app into a collection of smaller apps which should be able to send HTTP requests to each other. The smaller apps should not be publicly accessible on the internet. Which Heroku Enterprise features should an Architect recommend to enable this architecture?
Answer: A
Explanation:
-https://www.heroku.com/tech-sessions/get-started-wtth-apache-kafka
NEW QUESTION # 58
Thebest use of Canvas apps is to:
Answer: B
NEW QUESTION # 59
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?
Answer: B
Explanation:
- https //devcenterheroku.com/articles/private-spaces#lruslecl-ip-ranges
NEW QUESTION # 60
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?
Answer: C
Explanation:
-
https://devcenter.herokuxom/articles/using-sso-services-with-heroku#prerequisites-for-sso-with-heroku
NEW QUESTION # 61
A client wants to perform complex processing on large data sets in Salesforce. The data is confidential, but it does not have advanced compliance requirements.
What Heroku Enterprise features should an Architect recommend in this scenario?
Answer: D
Explanation:
- https://devcenter.heroku.eom/articles/heroku-postgresql#data-residency
NEW QUESTION # 62
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