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Validations and derivations in MDG
Validations can be written using BRF+ rules or ABAP code
Derivations can be written using ABAP code
Validations can be triggered on save or change of data
Derivations can be triggered on creation or change of data
Examples of validations include checking for mandatory fields or data consistency
Examples of derivations include calculating a field based on other fields or defaulting a va...
Different methods to do UI modifications
Using CSS to modify styles
Using JavaScript to modify DOM elements
Using frameworks like React or Angular to create reusable UI components
Using design tools like Sketch or Figma to create mockups and prototypes
Replication models can be set up using various tools and techniques.
Identify the source and target databases
Choose a replication method such as snapshot, transactional or merge replication
Configure the replication agents and schedules
Monitor the replication process for errors and performance issues
Test the replication to ensure data consistency and accuracy
Process models in MDC are frameworks that define the steps involved in a particular process.
Process models help in standardizing processes and improving efficiency.
They provide a visual representation of the process flow.
Examples of process models include BPMN, UML, and EPC.
Process models can be used in various industries such as healthcare, finance, and manufacturing.
Hub deployment is used for centralized management while co-deployed is for distributed management.
Hub deployment is suitable for large-scale deployments where centralized management is required.
Co-deployed is suitable for smaller deployments where distributed management is preferred.
Hub deployment allows for easier management of multiple devices and configurations.
Co-deployed allows for greater flexibility and cus...
Master data consolidation involves combining and organizing data from multiple sources into a single, unified view.
Master data consolidation helps eliminate duplicate or inconsistent data
It improves data accuracy and integrity
It enables better decision-making by providing a comprehensive view of data
It streamlines data management processes
Examples: Consolidating customer information from different systems into a s...
MDG product architecture for Business partner, Finance.
MDG (Master Data Governance) is a tool for managing master data across an enterprise.
MDG for Business Partner and Finance provides a centralized view of customer and vendor data.
It allows for data standardization, validation, and enrichment.
MDG for Finance includes features such as financial statement mapping and credit management.
The architecture includes a d...
I applied via Approached by Company and was interviewed in Jun 2022. There were 2 interview rounds.
I applied via Company Website and was interviewed in Mar 2021. There were 4 interview rounds.
MDG product architecture for Business partner, Finance.
MDG (Master Data Governance) is a tool for managing master data across an enterprise.
MDG for Business Partner and Finance provides a centralized view of customer and vendor data.
It allows for data standardization, validation, and enrichment.
MDG for Finance includes features such as financial statement mapping and credit management.
The architecture includes a data m...
Replication models can be set up using various tools and techniques.
Identify the source and target databases
Choose a replication method such as snapshot, transactional or merge replication
Configure the replication agents and schedules
Monitor the replication process for errors and performance issues
Test the replication to ensure data consistency and accuracy
Hub deployment is used for centralized management while co-deployed is for distributed management.
Hub deployment is suitable for large-scale deployments where centralized management is required.
Co-deployed is suitable for smaller deployments where distributed management is preferred.
Hub deployment allows for easier management of multiple devices and configurations.
Co-deployed allows for greater flexibility and customiz...
Master data consolidation involves combining and organizing data from multiple sources into a single, unified view.
Master data consolidation helps eliminate duplicate or inconsistent data
It improves data accuracy and integrity
It enables better decision-making by providing a comprehensive view of data
It streamlines data management processes
Examples: Consolidating customer information from different systems into a single...
Process models in MDC are frameworks that define the steps involved in a particular process.
Process models help in standardizing processes and improving efficiency.
They provide a visual representation of the process flow.
Examples of process models include BPMN, UML, and EPC.
Process models can be used in various industries such as healthcare, finance, and manufacturing.
Different methods to do UI modifications
Using CSS to modify styles
Using JavaScript to modify DOM elements
Using frameworks like React or Angular to create reusable UI components
Using design tools like Sketch or Figma to create mockups and prototypes
Validations and derivations in MDG
Validations can be written using BRF+ rules or ABAP code
Derivations can be written using ABAP code
Validations can be triggered on save or change of data
Derivations can be triggered on creation or change of data
Examples of validations include checking for mandatory fields or data consistency
Examples of derivations include calculating a field based on other fields or defaulting a value
Top trending discussions
posted on 16 Sep 2021
I appeared for an interview before Sep 2020.
Round duration - 50 minutes
Round difficulty - Easy
This was a Data Structural round.
Given a two-dimensional array/list consisting of integers 0s and 1s, where 1 represents land and 0 represents water, determine the number of distinct islands. A group of...
Count the number of distinct islands in a 2D array of 0s and 1s.
Identify islands by performing depth-first search (DFS) on the grid
Use a set to store the shape of each island and check for duplicates
Consider translations to determine distinct islands
Round duration - 50 minutes
Round difficulty - Easy
This was a Data Structural round.
You are tasked with arranging 'N' words of varying lengths such that each line contains at most 'M' characters, with each word separated by a space. The challenge is to minimiz...
The goal is to minimize the total cost of arranging 'N' words on each line with a maximum character limit 'M'.
Calculate the cost of each line as the cube of extra space characters needed to reach 'M'.
Minimize the total cost by arranging words to fit within the character limit on each line.
Ensure each word appears fully on one line without breaking across lines.
Round duration - 60 minutes
Round difficulty - Easy
This was a System Design round.
Design a system similar to Red Bus for handling bookings and onboarding vendors and customers.
Implement a user-friendly interface for customers to search and book tickets
Create a vendor portal for vendors to manage their offerings and availability
Include payment gateway integration for secure transactions
Develop a robust backend system for managing bookings, cancellations, and refunds
Utilize a database to store user in...
Round duration - 50 minutes
Round difficulty - Easy
This was a System Design round
Round duration - 50 minutes
Round difficulty - Easy
This was an HR round.
Tip 1 : Practice as much as you can.
Tip 2 : Prepare for company, not in general.
Tip 3 : Your past work should be objective and your contribution should be very clear
Tip 1 : Keep only relevant things for the job you are applying.
Tip 2 : Minimal data with measurable contribution and effect.
I applied via Monster and was interviewed before Apr 2020. There was 1 interview round.
A generic swap function swaps two values of any data type.
The function should take two parameters of any data type.
Use a temporary variable to store the value of one parameter.
Assign the value of the second parameter to the first parameter.
Assign the value of the temporary variable to the second parameter.
Search for an element in a rotated sorted linked list.
Find the pivot point where the list is rotated.
Divide the list into two sublists based on the pivot point.
Perform binary search on the appropriate sublist.
Handle edge cases such as empty list and list with only one element.
Search an element in a rotated sorted array
Find the pivot point where the array is rotated
Divide the array into two sub-arrays based on pivot point
Perform binary search on the appropriate sub-array
Repeat until element is found or sub-array size is 1
Given a Sudoku board, find possible numbers for an empty cell.
Iterate through empty cells and check possible numbers using row, column, and box constraints.
Use a set to keep track of possible numbers for each empty cell.
Return the set of possible numbers for the given empty cell.
Find integer average of 4 unsigned integers without typecasting
Add all the integers and divide by 4
Use bit shifting to divide by 4
Handle overflow by using long long data type
Use unsigned int data type for input
Code to identify 32 bit or 64 bit architecture of a processor
Check if the operating system is 32 bit or 64 bit
If OS is 32 bit, processor is 32 bit
If OS is 64 bit, check if processor supports 64 bit architecture
Use CPUID instruction to check if processor supports 64 bit architecture
Convert binary number to base 64 integer
Divide the binary number into groups of 6 bits
Convert each group of 6 bits to decimal
Map the decimal value to the corresponding base 64 character
Concatenate the base 64 characters to form the final integer
Creating test cases for random scenarios ensures software reliability and robustness through diverse input validation.
Identify edge cases: Test with minimum and maximum input values, e.g., an empty array vs. a large array.
Use random data: Generate random inputs to simulate real-world usage, e.g., random user names or passwords.
Test invalid inputs: Ensure the system handles unexpected inputs gracefully, e.g., negative n...
I applied via Referral
posted on 15 Nov 2015
I applied via Campus Placement
Print all downward paths from any node in a binary tree with sum of elements equal to N.
Traverse the binary tree and keep track of the sum of elements in the path from root to current node.
If the sum equals N, print the path from root to current node.
Recursively traverse the left and right subtrees with updated sum.
Use a stack to keep track of the current path being traversed.
Example: Binary tree with root 1, left chil...
Yes, it is possible to get the accurate result from the given data.
The coordinates (i,j,k) where metallic balls are present can be determined by finding the set elements in both matrix1 and matrix2.
Additional data is not required as the given data is sufficient to determine the coordinates.
The coordinates can be obtained by iterating through the elements of matrix1 and matrix2 and checking for set elements.
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