1) You need to perform a complex transformation that requires joining multiple datasets, applying business rules, and then aggregating the results before loading them into the target. Which approach would you choose to optimize performance in IICS?

2) Your ETL process involves handling a high volume of real-time streaming data. Which feature in IICS would you utilize to ensure low latency and high throughput for processing this data?

3) In a complex integration scenario, you need to orchestrate multiple dependent tasks with error handling and notification capabilities. Which IICS feature should you implement for this purpose?

4) You are required to maintain a historical record of changes in your target database. Which strategy would you implement to achieve this in IICS?

5) You are tasked with integrating data from various sources, including a SQL database, REST API, and flat files, into a single target database. How would you handle schema drift (changes in source schemas) in IICS?

6) A business requirement states that your ETL process must not only load data but also enrich it with data from an external web service. Which IICS feature is best suited for this scenario?

7) Your organization mandates that data should be masked for sensitive fields during the ETL process. Which approach would you take in IICS to ensure compliance with data privacy regulations?

8) In your IICS implementation, you are tasked with ensuring data integrity and performance during concurrent data loads from multiple sources. What strategy would you apply to achieve this?

9) You are required to validate incoming data against a set of predefined business rules and handle exceptions accordingly. Which combination of IICS features would you utilize?

10) In an integration scenario, you have to manage large datasets with multiple transformation rules based on dynamic conditions. How would you optimize your IICS mapping for better performance?

11) You need to set up a process where data is ingested from a cloud storage service into an on-premises database while ensuring data is validated and cleansed before loading. What would be your best approach?

12) Your project requires you to implement incremental loads while avoiding duplicate records in the target database. What mechanism in IICS can help you achieve this?

13) In a scenario where you need to orchestrate complex workflows that involve different types of tasks (like ETL, file processing, and web service calls), which IICS feature provides the best solution?

14) For a project requiring monitoring and logging of all ETL processes for audit purposes, which IICS feature should you implement?

15) You have been asked to implement a solution that will allow end-users to query data from various sources without needing to understand the underlying ETL processes. Which IICS feature would be most suitable for this requirement?

16) You need to establish a process that will automatically retry failed tasks in a Taskflow with a configurable delay and a limit on the number of retries. How do you configure this in IICS?

17) Your organization has strict requirements for logging changes made to sensitive data fields. Which feature in IICS can help you capture and audit these changes effectively?

18) In your ETL workflow, you need to dynamically control the flow based on the result of a previous task. Which IICS feature allows you to achieve this?

19) You need to implement a process that aggregates data from a source and loads it into a target, ensuring that the aggregation process is efficient and does not consume excessive resources. Which IICS approach would you choose?

20) You are tasked with migrating an existing ETL process to IICS but need to ensure that all historical data is preserved during the transition. What is the best approach to achieve this?