Zscaler Interview Questions (7+ Questions)
Last Updated: June 23, 2026 β’ 7 Questions β’ Real Company Interviews
Prepare for your Zscaler interview with our comprehensive collection of 7+ real interview questions and detailed answers. These questions have been curated from actual Zscaler technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.
Table of Contents
- Merge Repositories Preserving Both Histories (medium)
- Fix Repository with Unrelated Histories (medium)
- Pod with Readiness Probe (easy)
- ReadWriteMany Shared Volume Configuration (easy) π
- String Pattern Extraction in Descriptions (medium)
- VIP Customer Average Order Size (medium) π
- Teams Communication API Testing (easy) π
Our Zscaler 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 Zscaler Interviews
- Practice each question and understand the underlying concepts
- Review Zscaler's specific technologies and methodologies
- Prepare follow-up questions and edge cases
- Practice explaining your solutions clearly and concisely
Interview Questions & Answers
1. Merge Repositories Preserving Both Histories
We have two separate git repositories, repo A and repo B, five and four commits respectively. They've been developed independently, so have different histories, and we need to create one monorepo, combine both of them and have full commit history. Important thing is we need to use subtree. Subtree is git subtree command used when we have some shared libraries or other shared resources when we do not want to merge everything into one monorepo, but rather have some repository and reference other repositories in a directory. We'll use git log one line. Create a directory and then initialize git inside this directory. We'll do git init. We'll do our first commit. We'll do empty commit, so we'll need to add a empty flag. Now we will need to integrate our directories as a subtree in our repository. Use git subtree add, and then we use prefix project A. Finally, verify our monorepo. Check it with Git logs.
2. Fix Repository with Unrelated Histories
The repository interview is in broken state. The local and remote branches diverged with no common ancestor, meaning they don't share the same history. When we use Git Push to push things to the remote main, it fails with non fast forward error. And the same happens when we try to pull from Main. Our task is to fix this repository, merge and linearize the unrelated histories using Rebase and create new single commit sequence. When we use Git merge, branch that was merged into the main branch retains the same commit hashes. When we use Rebase, those commit hashes get rewritten. Next we'll pull main and we'll Rebase not merge. The flag that we'll use in this case is allow unrelated histories. We need to resolve this issue. Those three are the main types of the conflicts: modify modify, modify delete, add add. Once this is done, we have to type Git rebase continue.
3. Pod with Readiness Probe
Kubernetes HTTP Readiness Probe: NGINX Port 80 Path / Health Check Mastery. Deploy production-ready Kubernetes pods with HTTP readiness probes using web-ready pod and nginx:latest image. Configure HTTP GET probe on port 80 path / to ensure only healthy web servers receive traffic, preventing traffic to unready pods. Master readinessProbe httpGet, health check configuration, traffic routing control, and zero-downtime deployments. Perfect for web application HA, microservices readiness, NGINX Kubernetes deployment, and production traffic management.
4. ReadWriteMany Shared Volume Configuration
Configure shared persistent storage using NFS-backed volumes that multiple pods can mount simultaneously for read and write operations.
5. String Pattern Extraction in Descriptions
This question mainly focuses on string extraction. We have a products table with four columns: description, name, price, and product ID. The description column contains free text. Some products have email address inside of it and some don't. Our mission is to find those email addresses and extract them from the column. We only return three columns, product ID, name, and email that we will find from description. We will need to use substring. Substring is a string manipulation function. It simply returns a copy of a specific portion of the string. The pattern of an email address is some word, then @ symbol, word again, dot, and then word in the end. Regular expression is kind of a language that is used to describe a sequence of characters. Instead of equal, we use tilde, which is regular expression operator, which means just find this kind of pattern in description column. We sort everything in ascending order by product ID.
6. VIP Customer Average Order Size
Objective
Write an SQL query to find the average order amount for VIP customers. You need to join the orders table with the customers table, filter for VIP customers, and then calculate the average order amount for these customers.
Additional Information
- A VIP customer is identified...
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7. Teams Communication API Testing
Microsoft Teams connects over 250 million monthly active users for seamless collaboration and communication. QA testing of Teams APIs requires comprehensive validation of meeting creation, chat messaging, file sharing, and presence management to ensure reliable enterprise communication experiences....
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