SAP BI Interview Questions by Kuldeep

7/21/2019 SAP BI Interview Questions by Kuldeep

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1. What types of extractor are available?

2. How to create Generic datasource?Go to T. Code RSO2

3. What options or types available to create generic data source?3options available. (i) Extraction from DB view or table (ii) Infoset query (SAP Query)

(iii) Extraction from Function Module

4. What is generic delta?To convert generic data source delta capable we use generic delta options.

5. What options available to create generic data source as delta capable?6. What are delta specific fields in generic datasource?


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To convert generic data source as delta capable can use generic delta options

We are having 3 types of delta specific fields

(i) Timestamp(ii) Calendar day(iii) Numeric pointer

7. What is safety intervals in generic delta and what types available?Safety intervals are used to reduce chances to miss delta from generic data sources.

There are two types of Safety intervals available.

Upper Safety Interval Lower Safety Interval

Let understand upper safety interval with use of timestamp field. When we choose upper safety interval option

then current highest value of delta will reduced with given safety interval. Assume we have given upper safety

interval as 300 seconds and data load to SAP BI occurs every one hour and started at 12:00, then data load will

be like that

Means in upper safety intervals it will leave last 300 seconds / 5 minutes so chances of missing current 5 minutes

records which may be is getting edited will be reduced. And next delta load will start from 11:55 onwards to current

time minus 5 minutes

In Lower safety Interval this 5 minutes data will load twice to SAP BI but in this case we cannot create Load this data

directly in Infocube otherwise we will have data duplication error.

8. What is New status for changed records and additive delta in generic delta?

9. How you will decide to create Infocube?First I have to understand what type of requirement is this. Means Analytical or operational reporting

12:00 13:00 14:00 15:00

11:55 12:55 13:55 14:55


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Then I will see which level of details they are looking for reports, if aggregated then probably Infocube is best option

Then I will Identity the relationship and cardinality between characteristics

1:N cardinality related characteristics I will keep in same dimensions

N:M cardinality related characteristics I will keep in different dimensions

10.How much dimensions we can create in Infocube and why only ?We can create max 16 dimensions in which 3 are reserved by SAP. 16 dimensions limit came from database

limitations, as in a table we canthave more than 16 keys as primary key.

11.What is Line Item Dimension?When Dimension size is more than 20% compare to Fact table size then we need to optimize the Infocube

modelling.

Line Item Dimension (LID) is a dimension in which only one characteristic can be kept. When mark any dimension as

LID then Dimension table will dropped and directly SID will get inserted in Fact table.

Pros: 1.) Faster read access as one table got removed so no need to look into dimension table

2.) Faster data load as no need to generate Dimension ID

Cons: Only one characteristic can be keep in this dimension.

Eg.: Sales order no, Document No, Billing no type of characteristics should me make as LID, as mostly will

have 1:1 relationship with Fact table.

12.What is High Cardinality in Infocube?When Dimension size is more than 20% compare to Fact table size then we need to optimize the Infocube

modelling.

When we are having more than one characteristics in dimension which increases dimension table size more than

20% compare to fact table. Then this type of dimensions should mark as High Cardinality Dimension.

Internally in database instead of BITMAP index BINARY Tree index will generate for this dimension, It will help to

faster load the data to Infocube. So by marking HC only data load performance will get improve. Thats why we have

to make sure this dimensions characteristics should not use frequently in reporting.

13.How many fact tables are available in Infocube?We are having 2 fact tables in Infocube. F-Fact table and E-Fact table

F-fact table is partitioned with respect to Request ID.

E-fact table is compressed fact table, here no request id will available. Data will movefrom F-fact to E-fact table

while compression

14.What are aggregates?Aggregates are the baby infocubes or we can say aggregates are the materialized subset of Infocube. As per

reporting need we can create N-No of aggregate on a Infocube. Aggr. Can be created based on characteristics, nav.


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Attr., Time depended Nav. Attr., Hierarchy and Hierarchy node. While roll-up new request data of infocube will add

to aggregate.

15.How many types of DSOs are available?There are 3 types of DSOs are available.

(i) Standard DSO(ii) Write Optimized DSO (WDSO)(iii) Direct update DSO16.What is the star schema, classical star schema, snow flake star schema and extended star schema ?Refer Wikipedia and internet

17.What is normalization? Also describe 1stform, 2ndform, 3rdform, 4thform and 5thform of normalization?Refer Internet

18.What are the steps involved in LO data extraction?a. RSA5Select the Datasource and activateb. LBWEMaintain Datasource add fields from communication structure if you need any then Activate

Extract Structures

c. Select appropriate update moded. LBWG Delete Setup Tablese. Fill setup table (0LI*BW) or from menu path (SBIW)f. RSA3 Check extraction and the data in Setup tablesg. Replicate data source in BIh. LBWQ to check the extraction queuei. RSA7 BW Delta Queue Monitor

19.Most generally used T. Codes used in LO data extraction?LBWE LO cockpit

LBWG delete setup table

LBWQ Extraction Queue

RSA7 Delta Queue

SM13 Update tables

RSA5 Business content Data source repository

OLI*BWfill setup table

SBIW Menu path Navigation


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20.Difference between ODS and InfocubeODS Infocube

Provides Granular/detailed data Provides Aggregated data

Works on overwrite property Works on additive property

Follow 2 dimension modeling follow multi dimension modeling

We cannot create aggregate on

DSO

We can create aggregate on DSO

for Query optimization

21.How many types of routines are available in transformation?We are having four types of routine available in transformation.

(i) Start Routine: It executes before the transformation. It is having structure or internal table as sourcestructure. We mostly use this for data selection or data filtration. It executes ones per data package.

(ii) End Routine: It executes at last before storing data to target. It is having structure or internal table astarget structure. If we want to do some calculation before storing data to data target then we will use this. It

executes ones per data package.

(iii) Field or Characteristics routine: This routine is specific to particular field/char. If we want to docalculation for particular field we will use this routine. This routine will get execute for every record.

(iv) Expert routine: When we are not have any field to map with transformation and every field of datatarget is getting calculated via code then we probably choose this routine. Here everything we need to write

with code. Expert routine having source structure, target structure both. When we write expert routine

there is no transformation at all and we cannot use any other routine with expert routine.

Source Target

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D

Fiel

d

Fiel

d

Fiel

d


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22.What types of data available in SAP server? (Classes of data)There are three types of data available in SAP server.

(i) Master data(ii) Transaction data(iii) Configuration data : Its system sitting data to manage server. Mostly Basis team deal with this data.

(i) Master Data is further classified into 3 types:

a) Attribute Data: It describes thingsb) Text Data:c) Hierarchical Data:

(ii) Transaction Data is further divided into 2 types:

a) Document Datai. Header Dataii. Item Data

iii. Schedule line Datab) Summary Level Data

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SAP BI Interview Questions by Kuldeep

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