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IBM Assessment: InfoSphere DataStage v8.5 Sample Questions:

1. There is a requirement to load mainframe data with array columns having redefined fields into a flat file. How can the Complex Flat File

A) Within CFF, use the Complex File Load Option window with "Flatten selective arrays" option selected. Select the array with redefine column(s) and click redefine check box option.
B) Within CFF, use the Complex File Load Option window with "Flatten all arrays" option selected. CFF will handle flattening automatically.
C) CFF does not support flattening for redefined fields.
D) Select the Records ID tab on the Stage page. Select a record from the Records list. Select the column(s) with the redefine from the Column list. Within CFF, use the Complex File Load Option window with "Flatten selective arrays" option selected.

2. Which condition is required to use the LastRowInGroup() function to determine a key break on a field?

A) The input data has to be sorted by the key field and DataStage must be able to detect that the data is sorted, for example, by the presence of a Sort stage.
B) The LastRowInGroup() function does not require the data to be either sorted or grouped by the key field. If necessary the LastRowInGroup() function will perform a sort.
C) The input data has to be sorted by the key field, but it is not required that DataStage be able to detect this. For example, the input data might be sorted before it is input to the job. (However, the job will abort at runtime if the data isn't sorted.)
D) The LastRowInGroup() function requires the data to be grouped by the key field, but the data does not have to be sorted.

3. In a Transformer, which two of the following mappings can be handled by default type conversions. (Select two)

A) Date input column mapped to a string output column.
B) Integer input column mapped to string output column.
C) Integer input column mapped to raw output column.
D) String input column mapped to integer output column.
E) String input column mapped to a data output column.

4. Rows of data going into a Transformer stage are sorted and hash partitioned by the Input.Product column. Using stage variables, how can you determine when a new row is the first of a new group of Product rows?

A) Create a stage variable named sv_IsNewProduct and follow it by a second stage variable
named sv_Product. Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product <> sv_Product THEN "YES"
ELSE "NO".
B) Create a stage variable named sv_Product and follow it by a second stage variable named
sv_IsNewProduct . Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product = sv_Product THEN "YES"
ELSE "NO".
C) Create a stage variable named sv_Product and follow it by a second stage variable named
sv_IsNewProduct . Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product <> sv_Product THEN "YES"
ELSE "NO".
D) Create a stage variable named sv_IsNewProduct and follow it by a second stage variable
named sv_Product. Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product = sv_Product THEN "YES"
ELSE "NO".

5. Which two partitioning methods require keys? (Choose two.)

A) Round Robin
B) Hash
C) Modulus
D) Entire

Solutions: