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Sap Interview Questions and Answers
What should be the approach for writing a BDC
program?
Convert the legacy system data to a flat file and
convert flat file into internal table. Transfer the flat
file into sap system called “sap data transfer”. Call
transaction(Write the program explicitly) or create
sessions (sessions are created and processed ,if success
data will transfer).
Explain open SQL vs native SQL?
ABAP Native SQL allows you to include database-specific
SQL statements in an ABAP program. Most ABAP programs
containing database-specific SQL statements do not run
with different databases. If different databases are
involved, use Open SQL. To execute ABAP Native SQL in an
ABAP program, use the statement EXEC. Open SQL (Subset
of standard SQL statements), allows you to access all
database tables available in the R/3 System, regardless
of the manufacturer. To avoid conflicts between database
tables and to keep ABAP programs independent from the
database system used, SAP has generated its own set of
SQL statements known as Open SQL.
What are datasets?
The sequential files (processed on application server)
are called datasets. They are used for file handling in
SAP.
What are internal tables check table, value table, and
transparent table?
Internal table: It is a standard data type object, which
exists only during the runtime of the program. Check
table: Check table will be at field level checking.
Value table: Value table will be at domain level
checking ex: scarr table is check table for carrid.
Transparent table: - Exists with the same structure both
in dictionary as well as in database exactly with the
same data and fields.
What are the major benefits of reporting with BW over
R/3? Would it be sufficient just to Web-enable R/3
Reports?
Performance — Heavy reporting along with regular OLTP
transactions can produce a lot of load both on the R/3
and the database (cpu, memory, disks, etc). Just take a
look at the load put on your system during a month end,
quarter end, or year-end — now imagine that occurring
even more frequently. Data analysis — BW uses a Data
Warehouse and OLAP concepts for storing and analyzing
data, where R/3 was designed for transaction processing.
With a lot of work you can get the same analysis out of
R/3 but most likely would be easier from a BW.
How can an ERP such as SAP help a business owner learn
more about how business operates?
In order to use an ERP system, a business person must
understand the business processes and how they work
together from one functional area to the other. This
knowledge gives the student a much deeper understanding
of how a business operates. Using SAP as a tool to learn
about ERP systems will require that the people
understand the business processes and how they
integrate.
What is the difference between OLAP and Data Mining?
OLAP - On line Analytical processing is a reporting tool
configured to understand your database schema
,composition facts and dimensions . By simple
point-n-clicking, a user can run any number of canned or
user-designed reports without having to know anything of
SQL or the schema. Because of that prior configuration,
the OLAP engine “builds” and executes the appropriate
SQL. Mining is to build the application to specifically
look at detailed analyses, often algorithmic; even more
often misappropriate called “reporting.
What is “Extended Star Schema” and how did it emerge?
The Star Schema consists of the Dimension Tables and the
Fact Table. The Master Data related tables are kept in
separate tables, which has reference to the
characteristics in the dimension table(s). These
separate tables for master data is termed as the
Extended Star Schema.
Define Meta data, Master data and Transaction data ?
Meta Data: Data that describes the structure of data or
MetaObjects is called Metadata. In other words data
about data is known as Meta Data. Master Data: Master
data is data that remains unchanged over a long period
of time. It contains information that is always needed
in the same way. Characteristics can bear master data in
BW. With master data you are dealing with attributes,
texts or hierarchies. Transaction data: Data relating to
the day-to-day transactions is the Transaction data.
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