IBM InfoSphere DataStage Interview Questions
Set F
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DataStage Interview Questions
Question 01:
What is a Transformer Stage in IBM InfoSphere DataStage?
Answer:
Transformer Stage is the most important stage used to apply business logic, transformations, filtering, and data manipulation in parallel jobs.
Question 02:
What is the main purpose of Transformer Stage?
Answer:
To transform input data into desired output format using expressions and logic.
Question 03:
What is Derivation logic?
Answer:
Derivation is the expression used to calculate or transform column values.
Question 04:
Where do you define derivation?
Answer:
In the output column section of Transformer Stage.
Question 05:
Give example of derivation.
Answer:
Salary * 1.1 (to increase salary by 10%)
Question 06:
What are constraints in Transformer?
Answer:
Conditions used to filter records going to specific output links.
Question 07:
Where are constraints defined?
Answer:
On output links.
Question 08:
Difference between constraint and derivation?
Answer:
- Constraint: Filters rows
- Derivation: Modifies column values
Question 09:
What is Stage Variable?
Answer:
A temporary variable used inside Transformer for intermediate calculations.
Question 10:
Why use Stage Variables?
Answer:
To improve performance and reuse logic.
Question 11:
Execution order of Stage Variables?
Answer:
Top to bottom.
Question 12:
Example of Stage Variable?
Answer:
Temp = Salary * 2
Question 13:
What is looping logic in Transformer?
Answer:
Using stage variables to perform iterative or repeated calculations.
Question 14:
What is constraint-based routing?
Answer:
Sending data to different outputs based on conditions.
Question 15:
What is multiple output link logic?
Answer:
One input can be routed to multiple outputs based on constraints.
Question 16:
What is default output link?
Answer:
Captures records that do not satisfy any constraints.
Question 17:
What is Null value?
Answer:
Represents missing or unknown data.
Question 18:
How to handle Null values?
Answer:
Using functions like IsNull() or NullToValue().
Question 19:
What is IsNull() function?
Answer:
Checks if a value is null.
Question 20:
What is NullToValue()?
Answer:
Replaces null with a default value.
Question 21:
Example of null handling?
Answer:
NullToValue(Salary, 0)
Question 22:
What are string functions?
Answer:
Functions used to manipulate text data.
Question 23:
Common string functions?
Answer:
-
Trim() -
UpCase() -
DownCase() -
Len()
Question 24:
What is Trim()?
Answer:
Removes leading and trailing spaces.
Question 25:
What is UpCase()?
Answer:
Converts text to uppercase.
Question 26:
What is Len()?
Answer:
Returns length of string.
Question 27:
What are date functions?
Answer:
Functions used to manipulate date values.
Question 28:
Common date functions?
Answer:
-
DateFromString() -
CurrentDate() -
DaysSinceFromDate()
Question 29:
What is CurrentDate()?
Answer:
Returns current system date.
Question 30:
What is DateFromString()?
Answer:
Converts string into date format.
Question 31:
What is data type conversion?
Answer:
Changing one data type to another.
Question 32:
Functions for type conversion?
Answer:
-
StringToInteger() -
IntegerToString() -
DecimalToString()
Question 33:
Example of type conversion?
Answer:
StringToInteger("123")
Question 34:
What is implicit conversion?
Answer:
Automatic type conversion by system.
Question 35:
What is explicit conversion?
Answer:
Manual conversion using functions.
Question 36:
What is lookup in Transformer?
Answer:
Fetching data from reference link.
Question 37:
What is reference link?
Answer:
Link used for lookup data.
Question 38:
What is reject link in Transformer?
Answer:
Captures rejected rows due to constraints or errors.
Question 39:
What is performance tip for Transformer?
Answer:
Use stage variables instead of repeating logic.
Question 40:
What is constraint priority?
Answer:
Order in which constraints are evaluated.
Question 41:
What is short-circuit evaluation?
Answer:
Stops checking conditions once result is determined.
Question 42:
What is hash lookup?
Answer:
Fast lookup using in-memory hashing.
Question 43:
What is sparse lookup?
Answer:
Database lookup for each row.
Question 44:
What is dense lookup?
Answer:
Loads entire reference data into memory.
Question 45:
What is surrogate key generation?
Answer:
Creating unique identifiers using logic.
Question 46:
What is sequence generation?
Answer:
Generating incremental values.
Question 47:
What is best practice for Transformer?
Answer:
- Avoid complex expressions
- Use stage variables
- Handle nulls properly
Question 48:
What is common error in Transformer?
Answer:
- Data type mismatch
- Null handling issues
Question 49:
What is debugging in Transformer?
Answer:
Using logs and test runs to identify issues.
Question 50:
Why Transformer is most important stage?
Answer:
Because it handles all business logic and transformations in ETL process.
