Sap Interview Questions (18+ Questions)

Last Updated: June 8, 2026 β€’ 18 Questions β€’ Real Company Interviews

Prepare for your Sap interview with our comprehensive collection of 18+ real interview questions and detailed answers. These questions have been curated from actual Sap technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.

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Interview Questions
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Categories
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Difficulty Levels

Table of Contents

Our Sap interview questions cover a wide range of technical topics and difficulty levels, from entry-level positions to senior roles. Each question includes detailed explanations and answers to help you understand the concepts and prepare effectively for your interview.

πŸ’‘ Pro Tips for Sap Interviews

  • Practice each question and understand the underlying concepts
  • Review Sap's specific technologies and methodologies
  • Prepare follow-up questions and edge cases
  • Practice explaining your solutions clearly and concisely

Interview Questions & Answers

1. Validating DNS Consistency

Company: SAP Difficulty: easy Categories: Devops

Learn how to query and verify both IPv4 and IPv6 DNS records for a domain using Linux Bash commands. This guide covers resolving A and AAAA records, extracting IP addresses, and creating structured DNS verification reports, essential for diagnosing inconsistent DNS resolution and validating dual-stack network configurations.

2. Selective Log Archive Creation

Company: SAP Difficulty: medium πŸ”’ Premium Categories: Devops

Learn how to create tar archives while selectively excluding specific file types using Linux Bash commands. This guide covers backing up directories, filtering out compressed files, and verifying archive contents, essential for efficient log collection, forensic analysis, and reducing backup size in incident response scenarios.

3. Network Socket Usage Analysis

Company: SAP Difficulty: easy Categories: Devops

Learn how to inspect active TCP connections with associated process information on Linux using Bash commands. This guide covers displaying connection states, identifying process owners, and generating detailed socket reports, essential for diagnosing connection leaks, excessive socket usage, and network latency issues in production environments.

4. Multiple Dockerfile Critical Issues

Company: SAP Difficulty: hard πŸ”’ Premium Categories: Devops

Diagnose and fix compounding Docker issues causing immediate exit, permission denied errors, and missing environment variables. Apply chmod +x for executable permissions, correct CMD/ENTRYPOINT configuration, load environment variables via ENV or --env-file, and verify successful container startup. Essential for debugging failed deployments, understanding Dockerfile best practices, and mastering container lifecycle management.

5. Kubernetes Failing Job

Company: SAP Difficulty: medium πŸ”’ Premium Categories: Devops

Enable pod API access by mounting ServiceAccounts and configuring RBAC permissions. Fix job to use loader-sa ServiceAccount, grant get/list permissions on pods via Role, and resolve "permission denied" errors. Essential for API-aware pods, microservices needing cluster introspection, security isolation with least privilege, and proper Kubernetes authentication and authorization.

6. Search a 2D Matrix

Company: SAP Difficulty: medium Categories: Devops, Data engineering

def search_matrix(matrix: list[list[int]], target: int) -> bool:
rows, cols = len(matrix), len(matrix[0])
l, r = 0, rows * cols - 1

while l <= r:
    m = (l + r) // 2
    row, col = m // cols, m % cols
    val = matrix[row][col]
    
    if val > target:
        r = m - 1
    elif val < target:
        l = m + 1
    else:
        return True
        
return False

7. Merge Two Sorted Lists

Company: SAP Difficulty: easy Categories: Devops, Data engineering

Definition for singly-linked list.

class ListNode:

def init(self, val=0, next=None):

self.val = val

self.next = next

def merge_two_lists(list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
dummy = ListNode()
tail = dummy

while list1 and list2:
    if list1.val < list2.val:
        tail.next = list1
        list1 = list1.next
    else:
        tail.next = list2
        list2 = list2.next
    tail = tail.next
    
if list1:
    tail.next = list1
elif list2:
    tail.next = list2
    
return dummy.next

8. Terraform Uppercase Regions

Company: SAP Difficulty: easy πŸ”’ Premium Categories: Devops

SEO-Friendly Explanation for Terraform Interview Question

When working with Terraform for multi-region AWS infrastructure deployments, it's crucial to maintain consistent logging and reporting by standardizing region names. This task involves creating a Terraform configuration that transforms a...


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9. Hourly Website Traffic Aggregator

Company: SAP Difficulty: easy πŸ”’ Premium Categories: Data analysis, Data engineering

Objective

When asked in an interview to write a SQL query to aggregate the number of web traffic hits by hour, you're expected to understand how to work with time-based data and aggregation functions effectively. The goal is to create a query that groups web traffic data by the hour and counts ...


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10. Shipment Delay Analysis

Company: SAP Difficulty: easy πŸ”’ Premium Categories: Data analysis, Data engineering

Interview Question: SQL Query for Analyzing Shipment Delays

Objective

Create a SQL query that identifies shipments with a delivery delay greater than the average delay of all delayed shipments. The query should provide details about the order, customer, and the delay in descending order of...


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11. Analyze DataFrame Memory Usage

Company: SAP Difficulty: easy Categories: Data analysis, Data engineering

Load a dataset with pandas, calculate memory usage for each column in megabytes, and generate a CSV report showing column-level memory consumption.

12. Parsing Retail Discounts

Company: SAP Difficulty: hard Categories: Data analysis, Data engineering

Master string manipulation in PySpark. Learn how to use regular expressions (regexp_extract) to find percentage values hidden inside text, convert them to decimals, and handle missing matches gracefully.

13. Airline Multi-Table Joins and String Lengths

Company: SAP Difficulty: medium Categories: Data analysis, Data engineering

Master complex table relationships in PySpark. Learn how to join a central table to the same reference table multiple times using aliases, and how to trim and calculate string lengths dynamically.

14. Time-Based Sales Comparison

Company: SAP Difficulty: easy πŸ”’ Premium Categories: Data engineering

Comparing Monthly Sales Data: SQL Query for Year-Over-Year Analysis

Objective

In this interview question, you are required to create a SQL query to compare monthly sales data between two consecutive years. Specifically, the query should perform the following tasks:

  1. Calculate the total ...

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15. Three Sum

Company: SAP Difficulty: medium Categories: Data engineering

def three_sum(nums: list[int]) -> list[list[int]]:
res = []
nums.sort()

for i, a in enumerate(nums):
    if i > 0 and a == nums[i - 1]:
        continue

    l, r = i + 1, len(nums) - 1
    
    while l < r:
        three_sum_val = a + nums[l] + nums[r]
        
        if three_sum_val > 0:
            r -= 1
        elif three_sum_val < 0:
            l += 1
        else:
            res.append([a, nums[l], nums[r]])
            l += 1
            
            while l < r and nums[l] == nums[l - 1]:
                l += 1
                
return res

16. Validate Binary Search Tree

Company: SAP Difficulty: medium Categories: Data engineering

Definition for a binary tree node.

class TreeNode:

def init(self, val=0, left=None, right=None):

self.val = val

self.left = left

self.right = right

def is_valid_bst(root: Optional[TreeNode]) -> bool:
def validate(node, low=-float('inf'), high=float('inf')):
if not node:
return True

    if node.val <= low or node.val >= high:
        return False
        
    return (validate(node.left, low, node.val) and 
            validate(node.right, node.val, high))
            
return validate(root)

17. Complex Data Warehouse Aggregation and Trend Analysis for Multi-Channel Sales Optimization

Company: SAP Difficulty: hard πŸ”’ Premium Categories: Data engineering

How to Calculate Total Monthly Sales and Growth Percentage for Distribution Channels

In an SQL-based interview question, you're tasked with calculating the total monthly sales and the growth percentage of sales from the previous month for each distribution channel within a specified date range....


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18. AWS Lambda Function Testing

Company: SAP Difficulty: medium πŸ”’ Premium Categories: Quality assurance

Amazon Web Services Lambda processes billions of function invocations daily. QA testing of Lambda APIs requires comprehensive validation of function deployment, invocation, code updates, and metrics monitoring to ensure reliable serverless computing services....


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