Databricks Interview Questions (11+ Questions)
Last Updated: June 8, 2026 β’ 11 Questions β’ Real Company Interviews
Prepare for your Databricks interview with our comprehensive collection of 11+ real interview questions and detailed answers. These questions have been curated from actual Databricks technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.
Table of Contents
- Investigate Mounted Disk Usage (medium) π
- Connect Isolated Network Namespaces (medium) π
- Two Sum II - Input Array Is Sorted (medium)
- Secure Credential Rotation with Secrets Manager (hard) π
- Analyze Sales Dataset Dimensions and Calculate Total Revenue (easy)
- Broadcast Join (easy)
- Flooring Company Data (medium)
- Analyzing Self-Interactions on Social Media (easy)
- Calculate Average Delivery Time (medium) π
- Cross-Sell Opportunity Identifier (medium) π
- E-commerce Marketplace API Testing (medium) π
Our Databricks 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.
π‘ Pro Tips for Databricks Interviews
- Practice each question and understand the underlying concepts
- Review Databricks's specific technologies and methodologies
- Prepare follow-up questions and edge cases
- Practice explaining your solutions clearly and concisely
Interview Questions & Answers
1. Investigate Mounted Disk Usage
Learn how to diagnose and resolve disk space exhaustion issues on mounted volumes using Linux Bash commands. This guide covers checking filesystem usage, identifying largest files, freeing storage space, and verifying recovery, essential for troubleshooting storage capacity problems, preventing service failures, and maintaining application availability.
2. Connect Isolated Network Namespaces
Configure Linux network namespaces and bridges for isolated container networking. Learn to create separate network segments with veth pairs, interconnect namespaces using Linux bridges, enable inter-namespace communication, and verify connectivity. This guide covers network namespace isolation, virtual ethernet configuration, bridge setup, IP forwarding, and routing between isolated network stacks. Essential for container networking troubleshooting, microservices development, understanding Docker/Kubernetes networking, and implementing custom network topologies in production environments.
3. Two Sum II - Input Array Is Sorted
def two_sum(numbers: list[int], target: int) -> list[int]:
l, r = 0, len(numbers) - 1
while l < r:
cur_sum = numbers[l] + numbers[r]
if cur_sum > target:
r -= 1
elif cur_sum < target:
l += 1
else:
return [l + 1, r + 1]
return []
4. Secure Credential Rotation with Secrets Manager
Implement a secure, automated credential-rotation flow using Secrets Manager, KMS, Lambda, SSM, SNS, and CloudWatch Logs with least-privilege IAM.
5. Analyze Sales Dataset Dimensions and Calculate Total Revenue
Load a sales CSV file with pandas, calculate dataset dimensions and cell count, classify data size using thresholds, and compute total revenue from quantity and price columns.
6. Broadcast Join
Join a large orders table with a small customers table using a broadcast join and verify it from the execution plan.
7. Flooring Company Data
SELECT
o.order_id,
o.customer_id,
SPLIT_PART(c.full_name, ' ', 1) AS first_name,
SPLIT_PART(c.full_name, ' ', 2) AS last_name,
c.location,
o.product_id,
SPLIT_PART(p.product_info, ',', 1) AS product_type,
SPLIT_PART(p.product_info, ',', 2) AS product_color,
o.quantity
FROM {{ ref("orders") }} AS o
INNER JOIN {{ ref("customers") }} AS c
ON o.customer_id = c.customer_id
INNER JOIN {{ ref("products") }} AS p
ON o.product_id = p.product_id
8. Analyzing Self-Interactions on Social Media
Master data filtering and aggregation in PySpark. Learn how to filter rows by comparing two columns against each other, rename columns during a GroupBy operation, and count interaction occurrences.
9. Calculate Average Delivery Time
Objective
To answer the interview question regarding SQL, you need to write an SQL query that calculates the average number of days taken to deliver orders after they have been shipped. Only orders with both a shipping date and a delivery date recorded should be included in the calculation.
###...
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Detailed explanation and solution available for premium members.
10. Cross-Sell Opportunity Identifier
Detailed Explanation for SQL Interview Question on Unpurchased Product Categories
Objective
Write an SQL query to determine which product categories have not been purchased by each customer. The query should return a list of customers along with the categories they have not purchased, sor...
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Detailed explanation and solution available for premium members.
11. E-commerce Marketplace API Testing
Amazon operates the world's largest e-commerce marketplace with over 300 million active customers and 12 million products. QA testing of Amazon marketplace APIs requires comprehensive validation of product search, cart management, order processing, and inventory tracking to ensure reliable shopping ...
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Detailed explanation and solution available for premium members.
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