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5,000
Total questions
25
Roles covered
366
Skill & tool topics
53%
Senior-level share

Topic depth by role

RoleQuestionsTopicsSenior %
Full Stack Developer2001653%
Mobile Developer2001652%
DevOps / SRE / Platform Engineer2001652%
Cloud Engineer / Cloud Architect2001654%
QA / SDET2001656%
Cybersecurity Engineer2001656%
Business Analyst2001654%
Java / Spring Boot Developer2001554%
React / Frontend Developer2001552%
Python Developer2001451%
Node.js Developer2001455%
Data Engineer2001455%
Data Scientist / ML Engineer2001455%
AI / GenAI Engineer2001455%
MLOps Engineer2001451%
Data Analyst / BI Analyst2001455%
SAP Consultant / SAP Developer2001451%
Salesforce Developer / Administrator2001453%
ServiceNow Developer / Administrator2001450%
Workday Consultant2001454%
Oracle Consultant2001456%
Product Manager2001456%
Solutions Architect2001452%
Application / Production Support Engineer2001455%
Technical Support Engineer2001451%

How this was measured

Counts are computed directly from the published question banks, not estimated. A question qualifies as scenario-based when it describes a concrete situation โ€” a production incident, a design trade-off, a stakeholder conflict โ€” rather than asking for a definition. Level is assigned per question at authoring time. Topic counts are distinct topic labels within each role's bank.

How many interview questions should you prepare for an IT role?

Breadth matters less than topic coverage. In this corpus a single role spans 15 distinct skill and tool topics on average, so preparing 200 questions that cover every topic beats preparing 500 that cluster in two.

What is the difference between mid-level and senior interview questions?

Senior questions โ€” 53% of this corpus โ€” ask for a decision and its trade-offs under constraint. Mid-level questions ask how a mechanism works. The same topic appears at both levels; what changes is whether you are explaining or choosing.

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