SAP BO Interview Questions and Answers pdf

List of top 60 Business Objects Interview Questions and Answers for freshers beginners and experienced PDF.
1.  What is the use of BusinessObjects Data Services?
2.  Define Data Services components.
3.  What are the steps included in Data integration process?
4.  Define the terms Job, Workflow, and Dataflow
5.  Arrange these objects in order by their hierarchy: Dataflow, Job, Project, and Workflow.
6.  What are reusable objects in DataServices?
7.  What is a transform?
8.  What is a Script?
9.  What is a real time Job?
10. What is an Embedded Dataflow?
11. What is the difference between a data store and a database?
12. How many types of datastores are present in Data services?
13. What is the use of Compace repository?
14. What are Memory Datastores?
15. What are file formats?
16. Which is NOT a datastore type?
17. What is repository? List the types of repositories.
18. What is the difference between a Repository and a Datastore?
19. What is the difference between a Parameter and a Variable?
20. When would you use a global variable instead of a local variable?
21. What is Substitution Parameter?
22. List some reasons why a job might fail to execute?
23. List factors you consider when determining whether to run work flows or data flows serially or in parallel?
24. What does a lookup function do? How do the different variations of the lookup function differ?
25. List the three types of input formats accepted by the Address Cleanse transform.
26. Name the transform that you would use to combine incoming data sets to produce a single output data set with the same schema as the input data sets.
27. What are Adapters?
28. List the data integrator transforms
29. List the Data Quality Transforms
30. What are Cleansing Packages?
31. What is Data Cleanse?
32. What is the difference between Dictionary and Directory?
33. Give some examples of how data can be enhanced through the data cleanse transform, and describe the benefit of those enhancements.
34. A project requires the parsing of names into given and family, validating address information, and finding duplicates across several systems. Name the transforms needed and the task they will perform.
35. Describe when to use the USA Regulatory and Global Address Cleanse transforms.
36. Give two examples of how the Data Cleanse transform can enhance (append) data.
37. What are name match standards and how are they used?
38. What are the different strategies you can use to avoid duplicate rows of data when re-loading a job.
39. What is the use of Auto Correct Load?
40. What is the use of Array fetch size?
41. What are the difference between Row-by-row select and Cached comparison table and sorted input in Table Comparison Tranform?
42. What is the use of using Number of loaders in Target Table?
43. What is the use of Rows per commit?
44. What is the difference between lookup (), lookup_ext () and lookup_seq ()?
45. What is the use of History preserving transform?
46. What is the use of Map-Operation Transfrom?
47. What is Heirarchy Flatenning?
48. What is the use of Case Transform?
49. What must you define in order to audit a data flow?
50. List some factors for PERFORMANCE TUNING in data services?

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