Zscaler Interview Questions (7+ Questions)

Consolidate separate projects into a monorepo by merging repositories while preserving complete commit histories. Import repo-a and repo-b into project-a/ and project-b/ subdirectories, maintain all 10 commits across both projects, and enable unified version control. Essential for monorepo migration, project consolidation, unified CI/CD, and organizations transitioning from polyrepo to monorepo architectures.

Recover repositories with completely diverged local and remote histories by explicitly merging unrelated branches. Allow unrelated histories merge, linearize commit sequence, and reconcile push/pull failures. Essential for repository initialization issues, migration conflicts, repository corruption recovery, and situations where local and remote development occurred independently without shared ancestry.

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.

Configure shared persistent storage using NFS-backed volumes that multiple pods can mount simultaneously for read and write operations.

Interview Question Explanation: Extracting Emails from the products Table

Objective

The task is to write an SQL query to retrieve specific details from a table named products. This table contains the columns product_id, name, description, and price. The goal is to extract the product_id, name, and the first email address found within the description for each product. Only products with an email address in their description should be included in the results. The final output should be ordered by product_id in ascending order.

Additional Requirements

• An email address must follow the pattern [email protected].
• Only the first occurrence of an email in the description should be extracted.
• Products with no email address in their description should be excluded from the results.
• The output columns must be named exactly as product_id, name, and email_found.

Here is the SQL query that meets these requirements:

SELECT
    product_id,
    name,
    (regexp_matches(description, '[[:alnum:]_\\.-]+@[[:alnum:]_\\.-]+\\.[[:alpha:]]{2,6}'))[1] AS email_found
FROM
    products
WHERE
    description ~* '[[:alnum:]_\\.-]+@[[:alnum:]_\\.-]+\\.[[:alpha:]]{2,6}'
ORDER BY
    product_id ASC;

This SQL query extracts the necessary information by using the regexp_matches function to find the first occurrence of an email address within the description column and names it as email_found. The query ensures that only products with an email in their description are included and sorts the results by product_id in ascending order.

This solution is efficient for managing product information, making your SQL skills shine in handling data extraction and manipulation tasks.

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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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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