Q1. What is ITK initialization?
Answer: A custom ITK program normally initializes the Teamcenter runtime, authenticates or establishes a session, performs operations, then terminates cleanly.
Q2. Why handle ITK errors?
Answer: Teamcenter APIs return errors that must be checked and propagated or logged to prevent silent failures.
Q3. What is an ITK tag?
Answer: A tag is Teamcenter’s runtime identifier for a persistent object.
Q4. Why avoid hard-coded tags?
Answer: Tags are environment-specific runtime identifiers and should never be treated as stable business keys.
Q5. What is a Teamcenter session?
Answer: A session represents authenticated interaction with Teamcenter services and establishes security context.
Q6. What is a saved query?
Answer: A saved query defines reusable search criteria that can be executed by users or programs.
Q7. How do you search by item ID?
Answer: Use supported query or object-search APIs with the Item ID attribute rather than querying the database directly.
Q8. How do you create an Item programmatically?
Answer: Use supported ITK/SOA operations for Item creation, then populate required properties and manage the returned objects.
Q9. How do you create an Item Revision?
Answer: Use the supported Item/Revision creation service or ITK API and supply the required type and revision information.
Q10. How do you create a Dataset?
Answer: Use supported dataset creation APIs, then create/attach the required named references and managed files.
Q11. How do you attach a Dataset?
Answer: Create the appropriate relation between the target object and Dataset using supported APIs.
Q12. What is a named reference?
Answer: A named reference is a file/content slot on a Dataset with a defined reference name and storage semantics.
Q13. What is LOV?
Answer: List of Values constrains or supplies allowed values for properties.
Q14. How do you retrieve a property?
Answer: Use supported property APIs to load and read the property’s value for the target object.
Q15. Why use property loading?
Answer: Loading required properties explicitly can reduce unnecessary server/database calls and improve performance.
Q16. What is lazy loading?
Answer: Lazy loading retrieves data only when needed, reducing initial payload and resource usage.
Q17. What is a service contract?
Answer: A service contract defines request/response structures, operations, errors and compatibility expectations for an API.
Q18. What is SOA strong typing?
Answer: Strongly typed SOA APIs use generated or defined data structures representing Teamcenter service inputs and outputs.
Q19. What is a SOA client?
Answer: A SOA client invokes Teamcenter services to perform supported business operations.
Q20. What is REST authentication?
Answer: REST clients authenticate using the supported Teamcenter authentication mechanism and then send authorized requests with the session/security context.
Q21. What is JSON?
Answer: JSON is a lightweight structured format commonly used for web service request and response payloads.
Q22. What is HTTP 401?
Answer: 401 indicates authentication is missing or invalid.
Q23. What is HTTP 403?
Answer: 403 indicates the request is authenticated but not authorized for the requested resource or operation.
Q24. What is HTTP 404?
Answer: 404 means the requested resource or endpoint was not found.
Q25. What is HTTP 500?
Answer: 500 indicates an internal server error; server logs are required to identify the underlying cause.
Q26. What is idempotency?
Answer: An operation is idempotent when repeating it produces the same intended result without unintended duplication.
Q27. Why use pagination?
Answer: Pagination limits response size and server load when retrieving large result sets.
Q28. Why use filtering?
Answer: Filtering reduces unnecessary data transfer and processing by retrieving only relevant objects.
Q29. How do you design a scalable integration?
Answer: Use supported APIs, batching, pagination, retry/backoff, connection reuse, asynchronous processing and strong logging.
Q30. What is retry with backoff?
Answer: It retries transient failures after increasing delays to avoid overwhelming a recovering service.
Q31. Why avoid retrying every error?
Answer: Authorization, validation and data errors are usually non-transient and repeated retries waste resources.
Q32. What is transaction management?
Answer: It defines how related operations commit or roll back consistently.
Q33. What is partial failure?
Answer: Partial failure occurs when some operations succeed while others fail; integration logic must define compensation or recovery.
Q34. What is batch processing?
Answer: Batch processing groups operations to reduce overhead and improve throughput.
Q35. What is asynchronous processing?
Answer: It moves long-running work to background processing so the caller does not block.
Q36. How do you log an integration?.
Q37. How do you protect credentials?
Q38. What is certificate validation?
Q39. What is TLS mutual authentication?
Q40. What is API versioning?
Q41. How do you handle schema changes?
Q42. What is a custom SOA service?
Q43. What is a custom ITK utility?
Q44. What is a server exit?
Q45. What is a user exit?
Q46. What is an action handler?
Q47. What is a rule handler?
Q48. How do you debug ITK?
Q49. How do you debug SOA?
Q50. How do you debug REST?
Q51. What is thread safety?
Q52. Why avoid global mutable state?
Q53. What is connection leakage?
Q54. What is resource cleanup?
Q55. What is memory leak?
Q56. What is a race condition?
Q57. What is deadlock?
Q58. What is defensive programming?
Q59. How do you optimize a Teamcenter customization?
Q60. Why avoid N+1 API calls?
Q61. How do you process 100,000 objects?
Q62. What is checkpointing?
Q63. What is dry-run mode?
Q64. What is migration validation?
Q65. What is data integrity validation?
Q66. What is unit testing?
Q67. What is integration testing?
Q68. What is regression testing?
Q69. What is negative testing?
Q70. What is mock testing?
Q71. What is CI/CD?
Q72. Why version custom code?
Q73. What belongs in source control?
Q74. What is semantic versioning?
Q75. What is code review?
Q76. What is static analysis?
Q77. What is an API wrapper?
Q78. What is a DTO?
Q79. What is serialization?
Q80. What is deserialization?
Q81. How do you secure custom endpoints?
Q82. What is least privilege?
Q83. How do you prevent injection?
Q84. How do you handle secrets in CI/CD?
Q85. What is an API gateway?
Q86. What is rate limiting?
Q87. What is circuit breaker?
Q88. What is contract testing?
Q89. How do you troubleshoot integration timeouts?
Q90. How do you troubleshoot intermittent API failures?
Q91. How do you design a Teamcenter automation tool?
Q92. When should you choose SOA over ITK?
Q93. When should you use REST?
Q94. What is API backward compatibility?
Q95. What is observability in integrations?
Q96. Follow-up: What is a key interview consideration for ‘What is ITK initialization’?
Q97. Follow-up: What is a key interview consideration for ‘Why handle ITK errors’?
Q98. Follow-up: What is a key interview consideration for ‘What is an ITK tag’?
Q99. Follow-up: What is a key interview consideration for ‘Why avoid hard-coded tags’?
Q100. Follow-up: What is a key interview consideration for ‘What is a Teamcenter session’?
About the Author:-
Chandan Kumar
Teamcenter Infrastructure & PLM Professional
15+ years of practical experience working with Teamcenter administration, infrastructure, installation, configuration, Active Workspace, cloud infrastructure, databases, Linux, Ansible,Kubernetes, integrations,Teamcenter AI, performance troubleshooting and production support.
Linkedin:-https://www.linkedin.com/in/chandan-kumar-90111796/
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