they can ask about your goals and objectives
hobbies sometimes to know u r learning capabilites
y did u quit the earlier orgnanisation n so on  this is 
what i was asked

If i am not wrong looking at the company code available on
the system will tell us weather its single or multiple
organisation

Functional specifications are needs to prepared and given 
by functional consultant to the technical team or ABAP 
Consultant.. so that they make enhancements..develop as per 
clients requirements.

Asume that you have purchase report: which contains 
characters and key figures.. such as PO DATE, MATEIRAL 
NUMBER, MATERIAL DESCRIPTION, PO VALUE" AND AND SO ON.. BUT 
standard report does'nt support for client's for eg..Total 
consumption at production or Qty used it for manufacturing"

One has to give specifications..such why it is required, 
what is the use of new object, what specifications are 
required to develop by ABAP TEAM..

I hope this will help you..

Mohammed
SAPTEQ GLOBAL CONSULTING SERVICES
SAP Logistics and Financial Consultant
www.sapteq.com

Consensus forecast refers to a business process, not a 
system function. It basically means forecast created with 
the mutual agreement of the various business functions, 
e.g. supply chain, finance, sales, etc.
As such it is not linked to any statistical forecast models 
(I assume you meant that) and you can use any and all 
models, it will not create a consensus forecast for you.
You have to take your numbers and discuss and agree about 
them with your colleagues of the different departments. 
That's what will make your forecast consensus based.

In simple consensus forecast is arriving an average figures 
by taking eg.. production forecast qty, marketing 
forecasting qty and planned qty.. and so on..

Eg. Production forecast:200 nos. Marketing Forecas qty:250, 
you can arrive the consesus forecast qty is 225qty.

I hope this will help you..

MOHAMMED
SAPTEQ GLOBAL CONSULTING SERVICES,
SAPTEQ@GMAIL.COM
WWW.SAPTEQ.COM

I am not aware of anything called "outlier group" in APO. 
Outlier correction is an optional function you can use 
during statistical forecasting to clean your historical 
data of points that are much higher/lower than the rest of 
your numbers. You can influence the "sensitivity" of the 
function by changing the so-called sigma factor (unlike the 
name suggests it is NOT standard deviation) which defines 
the threshold over/under which numbers are 
considered "outliers".