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Mulesoft Integration interview questions

  1. Brief introduction about your experience.
  2. What was the last account you have worked on?
  3. How many companies have you worked for?
  4. Explain one of the flows you have worked on.
  5. CloudHub and RTF differences explain.
  6. Which version you used?
  7. Diff between SOA and EAI.
  8. When we go for WSDL or when we go for RAML?
  9. Explain Parallel Process and Batch Job.
  10. Explain Batch Job and steps involved.
  11. In real-time, how records will be processed in a batch job?
  12. DataWeave test: Can you define an array of common elements to find from two arrays?
  13. Interviewer name: Harsh
  14. Self introduction.
  15. Do you have Salesforce experience?
  16. What's your current project and day-to-day roles?
  17. What is the biggest challenge you have faced recently in a project?
  18. Explain how you resolved that biggest issue.
  19. How was the API fault tolerance issue resolved?
  20. Have you heard of persistence queues and dead-letter queues?
  21. What is Mule Event Processor?
  22. What is Mule Event and Mule Event Processor?
  23. Explain scopes in MuleSoft.
  24. What is Scatter-Gather?
  25. What do you think about Batch Scope?
  26. What are the steps in a batch job and explain?
  27. Do you know MUnit test and explain?
  28. Have you used MUnit test recently?
  29. How does MuleSoft support CI/CD?
  30. Which deployment have you used?
  31. Is MUnit a CI/CD model?
  32. What is DataWeave?
  33. How do you implement lookup transformation in DataWeave?
  34. What are the steps to write lookup functions?
  35. What are the best DataWeave writing formats?
  36. What is a private and sub-flow?
  37. What are the differences between private and sub-flow?
  38. What are the different types of flow processing processes?
  39. Have you used different patterns in Mule? What are they?
  40. What is the difference between XML, JSON, HTTP, and REST?
  41. What is the difference between SOAP and REST?
  42. What is the full form of HTTP and HTTPS?
  43. What is the full form of REST and SOAP?
  44. What are the filters?
  45. How do you convert JSON to CSV format?
  46. What is the best way to convert nested arrays to a simple array in Mule?
  47. How would you achieve date format?
  48. What is the difference between Map and Reduce in Mule?
  49. Cognizant: DataWeave test - Extract the top 2 candidates with the highest scores from a JSON list.
  50. Are you using API-led connectivity? Explain.
  51. What is your API doing?
  52. If the experience API is getting a timeout, and there are no issues at the AAPI or PAPI, how would you solve it?
  53. Explain onError Continue in MuleSoft.
  54. If an HTTP request got an error, and onError Continue is used, will the HTTP logout connector execute or not?
  55. How do you correlate all three environments (Development, Testing, and Production) in MuleSoft?
Capgemiy
  1. How do you introduce yourself?
  2. What are your current roles and responsibilities in your project?
  3. What are the best practices you follow in MuleSoft?
  4. How do you determine whether to use horizontal or vertical scaling in MuleSoft?
  5. Have you worked with Object Store? What is the maximum TTL (Time to Live) for Object Store entries?
  6. Have you worked with any message queues?
  7. What are the differences between Anypoint MQ and Google Pub/Sub?
  8. What is a Circuit Breaker in MuleSoft, and how have you implemented it?
  9. What are the different deployment options in MuleSoft?
  10. Explain the differences between the deployment models.
  11. How much experience do you have with DataWeave?
  12. How do you approach testing DataWeave scripts?
Wesco

  1. Event-Driven Architecture (EDA): Key components (events, producers, consumers, brokers). Advantages and common use cases. Technologies for implementation (Kafka, RabbitMQ, AWS SNS, etc.).

  2. Real-Time Error Reporting Dashboard: Steps to design the dashboard: error logging, data ingestion, real-time processing, storage, visualization. Tools: Fluentd, Logstash, Apache Kafka, Elasticsearch, Grafana. Challenges and best practices for real-time reporting.

  3. Salesforce Integration: Methods of integration: REST API, SOAP API, Bulk API, Streaming API, Apex-based integration. 

  4. Secure Credential Storage: Secure storage options: Cloud secret managers (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault). Encryption standards and best practices. Secure local storage for client-side apps (Keychain, Keystore). Avoiding hardcoded credentials in source code and CI/CD pipelines.

  5. Key Questions for Credential Security: Storage, encryption, access control, tokenization, and rotation strategies. Securing client-side and third-party integration credentials. Audit, monitoring, and recovery strategies for exposed credentials


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