Elastic Interview Questions (10+ Questions)

Last Updated: June 23, 2026 β€’ 10 Questions β€’ Real Company Interviews

Prepare for your Elastic interview with our comprehensive collection of 10+ real interview questions and detailed answers. These questions have been curated from actual Elastic 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 Elastic 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.

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

Interview Questions & Answers

1. Shallow Clone Limited to Latest Commit

Company: Elastic Difficulty: easy Categories: Devops, Data analysis, Data engineering, Quality assurance

We need to navigate to the folder workspace and clone into this directory a repository located here named Shallow Rebel, and we need to restrict that to the latest commit only. We don't need to copy entire history, but just latest commit. Cloning only latest commit called shallow clone and command for this would be git clone depth one meaning only last commit, location of the repository and the name of it. Our repository was cloned. Move into it and see the logs. We see only latest log commit 50.

2. Cross-Repository Image Promotion - Automated Deployment Updates

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

We have two repositories, repo A builds Docker images, whereas repo B handles deployment configuration. When a new image is built in repo A, the workflow needs to automatically update repo B's values.yaml file with the new image tag. This separation of build and deployment is very common in GitOps p...


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3. Ensure Cleanup Runs on Workflow Failure

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

We have a test workflow that creates temporary files and directories every time it runs. The problem is that even when the tests are failing, the cleanup step gets skipped because GitHub Actions stops executing steps after a failure. This leaves temporary resources behind, wasting disk space. We nee...


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4. Jump Game

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

def can_jump(nums: list[int]) -> bool:
max_reachable = 0
n = len(nums)

for i in range(n):
    if i > max_reachable:
        return False
        
    if i + nums[i] > max_reachable:
        max_reachable = i + nums[i]
        
    if max_reachable >= n - 1:
        return True
        
return True

5. Monthly Customer Signup Trend

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

Objective

In this technical interview question, the objective is to write an SQL query to determine the number of new user registrations for each month based on the signup_date in a table named customers. The desired result should return the month and the count of new signups for that month...


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6. Aggregation with Multiple GROUP BY Columns

Company: Elastic Difficulty: medium πŸ”’ Premium Categories: Data analysis, Data engineering

Answering the SQL Query Interview Question

When faced with the interview question of writing an SQL query to retrieve the total quantity of each product sold per year, it’s essential to understand the structure of the provided orders table. This table includes the columns id, product_name...


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7. Aerospace Equipment Labels

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

WITH joined AS (
SELECT
e.id,
e.name AS equipment_name,
e.type AS equipment_type,
e.status AS equipment_status,
c.name AS company_name,
c.country,
CASE
WHEN e.status = 'active' AND c.country = 'USA' THEN 'Domestic Active'
WHEN e.status = 'active' THEN 'Foreign Active'
ELSE 'Inactive'
END AS status_label
FROM {{ ref("equipment") }} e
INNER JOIN {{ ref("companies") }} c
ON e.company_id = c.id
)
SELECT * FROM joined

8. Amusement Park Anomaly Detection

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

Master anomaly detection in PySpark. Learn how to use unpartitioned Window functions to calculate global averages, find maximum deviations, and flag statistical outliers in visitor rating data.

9. Correlated Subquery to Compare Values

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

Objective

To successfully answer this SQL interview question, you need to craft an SQL query that will fetch the names of employees, their associated department names, and their salaries. Specifically, you need to filter out employees who earn more than the average salary of their respective d...


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10. Reverse Nodes in k-Group

Company: Elastic Difficulty: hard Categories: Data engineering

Definition for singly-linked list.

class ListNode:

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

self.val = val

self.next = next

def reverse_k_group(head: Optional[ListNode], k: int) -> Optional[ListNode]:
dummy = ListNode(0, head)
group_prev = dummy

while True:
    kth = group_prev
    for _ in range(k):
        kth = kth.next
        if not kth:
            break
            
    if not kth:
        break
        
    group_next = kth.next
    
    prev, curr = group_next, group_prev.next
    for _ in range(k):
        tmp = curr.next
        curr.next = prev
        prev = curr
        curr = tmp
        
    tmp = group_prev.next
    group_prev.next = kth
    group_prev = tmp
    
return dummy.next

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