Okta Interview Questions (17+ Questions)

Last Updated: June 8, 2026 • 17 QuestionsReal Company Interviews

Prepare for your Okta interview with our comprehensive collection of 17+ real interview questions and detailed answers. These questions have been curated from actual Okta 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 Okta 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.

💡 Pro Tips for Okta Interviews

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

Interview Questions & Answers

1. Rename Current Branch

Company: Okta Difficulty: easy 🔒 Premium Categories: Devops

Standardize branch naming by renaming the current branch without losing commit history or work. Use git branch -m to rename locally, update team conventions, and maintain organized branch naming. Essential for implementing branch naming standards, standardizing team practices, improving repository organization, and maintaining consistent naming conventions across teams.

2. Implement StatefulSet with Stable DNS

Company: Okta Difficulty: medium Categories: Devops

Kubernetes StatefulSet Network Identity: dns-app dev namespace. Deploy a distributed stateful application requiring predictable, persistent DNS hostnames for data replication. Challenge involves configuring a Headless Service to bypass standard Layer 4 load balancing and establish stable per-pod network identity for direct Pod-to-Pod discovery. Essential for clustering databases (Cassandra, MongoDB), coordination systems (Zookeeper, Etcd), and legacy peer-to-peer workloads requiring unique stable network IDs.

3. Runtime Memory Flag Fix

Company: Okta Difficulty: easy 🔒 Premium Categories: Devops

Fix Kubernetes OOMKilled errors: configure Node.js heap size with runtime flags, optimize memory usage, and prevent container restarts in production.

4. Conditional Workflow Execution Based on Schedule

Company: Okta Difficulty: medium 🔒 Premium Categories: Devops

Learn to implement conditional workflow execution in GitHub Actions that runs jobs only on weekdays using date command checks and job-level conditionals.

5. Binary Tree Right Side View

Company: Okta Difficulty: medium Categories: Devops, 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 right_side_view(root: Optional[TreeNode]) -> list[int]:
if not root:
return []

res = []
queue = deque([root])

while queue:
    level_size = len(queue)
    rightmost_val = None
    
    for _ in range(level_size):
        node = queue.popleft()
        rightmost_val = node.val
        
        if node.left:
            queue.append(node.left)
        if node.right:
            queue.append(node.right)
            
    res.append(rightmost_val)
    
return res

6. Calculate Percentage Contribution

Company: Okta Difficulty: easy 🔒 Premium Categories: Data analysis, Data engineering

Guide to Answer the SQL Interview Question: Calculate Product Sales as a Percentage of Total Sales

Creating an SQL query to determine each product's sales as a percentage of the total sales involves several key steps. The query should return the product name, its sales amount, and the correspon...


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7. Simple Correlated Subquery

Company: Okta Difficulty: easy 🔒 Premium Categories: Data analysis, Data engineering

Objective

In this interview question, the candidate is tasked with writing an SQL query to identify and list all employees whose salaries exceed the average salary of their respective departments. This SQL exercise assesses the candidate’s ability to perform subqueries and use aggregate functio...


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8. Employee Productivity Trend

Company: Okta Difficulty: medium 🔒 Premium Categories: Data analysis, Data engineering

How to Calculate Monthly Productivity Per Hour for Each Employee Using SQL

When preparing for a SQL interview, data manipulation and reporting tasks are essential skills. One common question involves calculating monthly productivity per hour for each employee. Productivity per hour is determine...


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9. Top Reptile Observations

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

WITH joined AS (
SELECT
o.obs_id,
o.species_id,
s.species_name,
o.location_id,
o.count,
RANK() OVER (ORDER BY o.count DESC) AS rnk
FROM {{ ref("observations") }} AS o
INNER JOIN {{ ref("species") }} AS s
ON o.species_id = s.species_id
)
SELECT obs_id, species_id, species_name, location_id, count
FROM joined
WHERE rnk <= 3

10. Find Median from Data Stream

Company: Okta Difficulty: hard Categories: Data engineering

import heapq

class MedianFinder:
def init(self):
self.small = [] # max-heap (negated values)
self.large = [] # min-heap

def addNum(self, num):
    heapq.heappush(self.small, -num)
    heapq.heappush(self.large, -heapq.heappop(self.small))
    if len(self.large) > len(self.small):
        heapq.heappush(self.small, -heapq.heappop(self.large))

def findMedian(self):
    if len(self.small) > len(self.large):
        return float(-self.small[0])
    return (-self.small[0] + self.large[0]) / 2.0

11. Skew-Aware Key Partitioner

Company: Okta Difficulty: medium Categories: Data engineering

class SkewHandler:
def init(self, numBuckets, hotThreshold, splitFactor):
self.n = numBuckets
self.threshold = hotThreshold
self.split = splitFactor
self.counts = {}
self.robin = {}
self.load = [0] * numBuckets

def _hash(self, key):
    h = 0
    for c in key:
        h = h * 31 + ord(c)
    return h % self.n

def assign(self, key):
    self.counts[key] = self.counts.get(key, 0) + 1
    base = self._hash(key)

    if self.counts[key] > self.threshold:
        idx = self.robin.get(key, 0)
        bucket = (base + idx) % self.n
        self.robin[key] = (idx + 1) % self.split
    else:
        bucket = base

    self.load[bucket] += 1
    return bucket

def getLoad(self):
    return list(self.load)

12. Sum and Average Salaries by Department

Company: Okta Difficulty: hard 🔒 Premium Categories: Data engineering

Detailed Guide to the SQL Interview Question: Calculating Salary Metrics by Department

Objective

Create an SQL query that efficiently calculates key salary metrics for each department—total salary, average salary (rounded to two decimal places), and the number of employees. The result set ...


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13. Parse JSON Log Files and Extract Fields to CSV

Company: Okta Difficulty: easy Categories: Data engineering, Quality assurance

Parse a JSON-formatted log file with inconsistent structure, extract specific fields including nested data, handle missing values, and create a structured CSV dataset using Python.

14. Missing Number

Company: Okta Difficulty: easy Categories: Data engineering

def missing_number(nums: list[int]) -> int:
n = len(nums)
result = n

for i in range(n):
    result ^= i ^ nums[i]
    
return result

15. Median of Two Sorted Arrays

Company: Okta Difficulty: hard Categories: Data engineering

def find_median_sorted_arrays(nums1: list[int], nums2: list[int]) -> float:
A, B = nums1, nums2
if len(B) < len(A):
A, B = B, A

total = len(A) + len(B)
half = (total + 1) // 2

l, r = 0, len(A)
while l <= r:
    i = (l + r) // 2
    j = half - i
    
    Aleft = A[i - 1] if i > 0 else float("-inf")
    Aright = A[i] if i < len(A) else float("inf")
    Bleft = B[j - 1] if j > 0 else float("-inf")
    Bright = B[j] if j < len(B) else float("inf")
    
    if Aleft <= Bright and Bleft <= Aright:
        if total % 2:
            return float(max(Aleft, Bleft))
        return (max(Aleft, Bleft) + min(Aright, Bright)) / 2
    elif Aleft > Bright:
        r = i - 1
    else:
        l = i + 1

16. Electric Vehicle API Testing

Company: Okta Difficulty: medium 🔒 Premium Categories: Quality assurance

Tesla operates the world's largest electric vehicle charging network with over 50,000 Superchargers globally. QA testing of electric vehicle APIs requires comprehensive validation of battery management, charging protocols, vehicle control systems, and energy optimization to ensure reliable electric ...


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17. File Upload Validation Testing

Company: Okta Difficulty: hard 🔒 Premium Categories: Quality assurance

Master file upload testing with Selenium. Learn temporary file creation, upload validation, and interface property checking techniques....


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