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| Section | Objectives |
|---|---|
| Topic 1: Data | - Database migrations and schema management - Data replication and high availability strategies - Heroku Postgres administration (backups, forks, followers, data clips) - Heroku Redis architecture and use cases - Heroku Postgres architecture, plans, and provisioning - Apache Kafka on Heroku architecture and use cases |
| Topic 2: Integrations | - Third-party service integration patterns (SaaS, APIs, webhooks) - Heroku Button and deploy-to-Heroku workflows - Integration with Salesforce Platform Events and Change Data Capture - Messaging and event-driven architecture (Kafka, Redis Pub/Sub) - Heroku Connect bidirectional sync with Salesforce CRM |
| Topic 3: Heroku Platform | - Heroku runtime and slug management - Logging, monitoring, and alerting (Logplex, Heroku metrics, third-party add-ons) - App lifecycle management (releases, rollbacks, preboot) - Configuration management (environment variables, config vars) - Heroku Teams and enterprise account management - Heroku CLI and deployment workflows (git push, GitHub integration) - Heroku architecture and components (dynos, dyno formation, process types) - Add-ons ecosystem and marketplace |
| Topic 4: Heroku Enterprise | - Private Space peering and VPN connections - Heroku Enterprise account management and governance - Heroku Enterprise architecture and Private Spaces - Heroku Connect and Salesforce-to-Heroku data synchronization - Regional deployment and data residency requirements - Heroku External Objects and Connect REST APIs |
| Topic 5: Security | - Identity and access management (SSO, Heroku Teams permissions) - Heroku Shield and HIPAA-compliant architectures - Trusted IP ranges and firewall rules - TLS/SSL and certificate management - Private Spaces and network isolation - Compliance and security best practices (SOC 2, GDPR) |
| Topic 6: Architecture and Application Design | - Microservices and service decomposition on Heroku - 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 - Performance tuning and scalability (autoscaling, dyno sizing) - API-first design and Heroku as a back-end for mobile/IoT apps |
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NEW QUESTION # 171
Which two statements describe characteristics of Private Space Logging? (Choose two.)
Answer: A,C
NEW QUESTION # 172
A client wants to deconstruct a monolithic application into a set of microservices The microservicesrequire securer direct peer-to-peer communications.
Which Heroku Enterprise features should an Architect recommend? Choose one answer
Answer: A
NEW QUESTION # 173
Universal Containers has a microservices architecture on Heroku. One microservice. named the Metrics Microservice. periodically fetches metrics from a fleet of loT sensors. Then, the Metrics Microservice is required to send relevant metrics to each of the other microservices using REST. When a new microservice is added to the architecture, the Metrics Microservice must send metrics to that new microservice too. As a result, adding microservices to the architecture causes performance issues. How should an Architect recommend changing this architecture to improve its scalability?
Answer: C
Explanation:
- https://devcenter.heroku.com/arlicles/heroku<onnect-faq#can-i-use-sharing-rules-to-restrict-recorcd-visibility
NEW QUESTION # 174
The Heroku CLI give you the ability to:
Answer: A
NEW QUESTION # 175
Universal Containers intends to build an app which will accept card payments. The app also needs to store, process, and transmit cardholder data.
Which Heroku architecture should an Architect recommend?
Answer: D
NEW QUESTION # 176
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