← Salesforce Interview Insights
I went straight into listing platforms and comparing them, which in hindsight was the wrong move.
Start by clarifying the application's requirements, especially the types and volumes of external APIs it will consume. Then evaluate platforms based on how well they handle API integration, scalability, and developer experience. Conclude by recommending a platform that best balances trade-offs for the given context.
Pro tip: Emphasize that the choice should be driven by the specific API characteristics (e.g., REST vs. GraphQL, rate limits, authentication) and the team's familiarity, rather than generic platform popularity. Mention that you would prototype critical integrations to validate assumptions early.
Identify the number and types of external APIs, expected traffic, latency requirements, and data sensitivity. Also consider team skills and existing infrastructure.
Assess how easily the platform supports API consumption, including built-in connectors, SDKs, authentication methods, and error handling. Consider support for asynchronous and batch processing.
Examine the platform's ability to handle high throughput, rate limiting, retries, and failover. Look for features like caching, circuit breakers, and monitoring.
Evaluate the availability of libraries, documentation, community support, and tooling for testing and deployment. A strong ecosystem can accelerate development.
Weigh the pros and cons of each option against the requirements, and recommend a platform that aligns best with the project's priorities (e.g., speed vs. control).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.