DATASTAGE Interview Questions and Answers

1. What is the flow of loading data into fact & dimensional tables?
A) Fact table — Table with Collection of Foreign Keys corresponding to the Primary
Keys in Dimensional table. Consists of fields with numeric values.
Dimension table — Table with Unique Primary Key.
Load — Data should be first loaded into dimensional table. Based on the primary key
values in dimensional table, the data should be loaded into Fact table.

2. What is the default cache size? How do you change the cache size if needed?
A. Default cache size is 256 MB. We can increase it by going into Datastage
Administrator and selecting the Tuneable Tab and specify the cache size over there. Data stage online course helps you to learn more skills and techniques from industrial experts.

3. What are types of Hashed File?
A) Hashed File is classified broadly into 2 types.
a) Static — Sub divided into 17 types based on Primary Key Pattern.
b) Dynamic — sub divided into 2 types
i) Generic ii) Specific.
Dynamic files do not perform as well as a well, designed static file, but do perform better
than a badly designed one. When creating a dynamic file you can specify the following
Although all of these have default values)
By Default Hashed file is “Dynamic — Type Random 30 D”

4. What does a Config File in parallel extender consist of?
A) Config file consists of the following.
a) Number of Processes or Nodes.
b) Actual Disk Storage Location.

5. What is Modulus and Splitting in Dynamic Hashed File?
A. In a Hashed File, the size of the file keeps changing randomly.
If the size of the file increases it is called as “Modulus”.
If the size of the file decreases it is called as “Splitting”.

6. What are Stage Variables, Derivations and Constants?
A. Stage Variable — An intermediate processing variable that retains value during read
and doesn’t pass the value into target column.
Derivation — Expression that specifies value to be passed on to the target column.
Constant — Conditions that are either true or false that specifies flow of data with a link.

7. Types of views in Datastage Director?
There are 3 types of views in Datastage Director
a) Job View — Dates of Jobs Compiled.
b) Log View — Status of Job last run
c) Status View — Warning Messages, Event Messages, Program Generated Messages.

8. Types of Parallel Processing?
A) Parallel Processing is broadly classified into 2 types.
a) SMP — Symmetrical Multi Processing.
b) MPP — Massive Parallel Processing.

9. Orchestrate Vs Datastage Parallel Extender?
A) Orchestrate itself is an ETL tool with extensive parallel processing capabilities and
running on UNIX platform. Datastage used Orchestrate with Datastage XE (Beta version
of 6.0) to incorporate the parallel processing capabilities. Now Datastage has purchased
Orchestrate and integrated it with Datastage XE and released a new version Datastage 6.0
i.e Parallel Extender.

10. Importance of Surrogate Key in Data warehousing?
A) Surrogate Key is a Primary Key for a Dimension table. Most importance of using it is
it is independent of underlying database. i.e. Surrogate Key is not affected by the changes
going on with a database.

11. How to run a Shell Script within the scope of a Data stage job?
A) By using “ExcecSH” command at Before/After job properties.

12. How to handle Date conversions in Datastage? Convert a mm/dd/yyyy format to
yyyy-dd-mm?
A) We use a) “Iconv” function — Internal Conversion.
b) “Oconv” function — External Conversion.
Function to convert mm/dd/yyyy format to yyyy-dd-mm is
Oconv(Iconv(Filedname,”D/MDY[2,2,4]”),”D-MDY[2,2,4]”)

13 How do you execute datastage job from command line prompt?
A) Using “dsjob” command as follows.
dsjob -run -jobstatus projectname jobname

14. Functionality of Link Partitioner and Link Collector?
Link Partitioner: It actually splits data into various partitions or data flows using
various partition methods.
Link Collector: It collects the data coming from partitions, merges it into a single data
flow and loads to target.

15. Types of Dimensional Modeling?
A) Dimensional modeling is again sub divided into 2 types.
a) Star Schema — Simple & Much Faster. Denormalized form.
b) Snowflake Schema — Complex with more Granularity. More normalized form.

16. Differentiate Primary Key and Partition Key?
Primary Key is a combination of unique and not null. It can be a collection of key values
called as composite primary key. Partition Key is a just a part of Primary Key. There are
several methods of partition like Hash, DB2, and Random etc. While using Hash partition
we specify the Partition Key. Datastage administrator training for more effective learning.

17. Differentiate Database data and Data warehouse data?
A) Data in a Database is
a) Detailed or Transactional
b) Both Readable and Writable.
c) Current.

18. Containers Usage and Types?
Container is a collection of stages used for the purpose of Reusability.
There are 2 types of Containers.
a) Local Container: Job Specific
b) Shared Container: Used in any job within a project.

19.Compare and Contrast ODBC and Plug-In stages?
ODBC: a) Poor Performance.
b) Can be used for Variety of Databases.
c) Can handle Stored Procedures.
Plug-In: a) Good Performance.
b) Database specific. (Only one database)
c) Cannot handle Stored Procedures.

20. Dimension Modelling types along with their significance
Data Modelling is Broadly classified into 2 types.
a) E-R Diagrams (Entity — Relatioships).
b) Dimensional Modelling.

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