Microsoft interviews score higher than Google, Amazon, and Meta. Here's what the data shows.
A common assumption among software engineers preparing for Big 5 tech interviews is that Google sits at the hardest end of the difficulty spectrum and Microsoft sits at the easiest. Final Round AI's live interview session data does not support that assumption. But what the data does reveal — a 23.6-point internal gap between the easiest and hardest roles within Microsoft itself — is more actionable for most candidates than the company-level comparison.
The dataset
Final Round AI analyzed 4,921 live interview sessions for Microsoft Corporation captured through Interview Copilot, a real-time AI assistance tool used during actual job interviews. The sessions ran from 2023 through 2025, with 2024 accounting for 4,018 of the 4,921 sessions, reflecting a surge in Microsoft hiring activity across cloud and AI infrastructure roles. Each session produced a score from 0 to 100 reflecting answer quality and completeness.
Company comparison data draws on 18,932 Amazon sessions, 16,604 Google sessions, 4,528 Apple sessions, and 3,220 Meta sessions from the same period. Administrative screener questions were excluded from question-frequency analysis. No individual user data is included.
Company comparison: Microsoft scores above Google, Amazon, Meta, and Apple
Across 4,921 sessions, Microsoft Corporation candidates averaged 57.8 out of 100. For context:
- Meta: 55.5 average (3,220 sessions)
- Apple: 56.3 average (4,528 sessions)
- Google: 56.8 average (16,604 sessions)
- Amazon: 57.5 average (18,932 sessions)
- Microsoft: 57.8 average (4,921 sessions)
The 2.3-point gap between Microsoft and Meta is real but should not be overstated. A candidate who would score 60 at Amazon would score roughly 61 at Microsoft under identical preparation. What the numbers do challenge is the conventional ranking many candidates assume.
The more important finding is what happens when you look inside Microsoft rather than across companies.
The role gap is wider than the company gap
DevOps roles at Microsoft averaged 45.4 out of 100 across 175 sessions. Cloud Solution Architect roles (data platform and AI focus) averaged 69.0 across 427 sessions. That is a 23.6-point internal difference — wider than the entire company-to-company spread across all five Big 5 tech companies combined.
Here is the full role breakdown for Microsoft roles with sufficient session volume:
- DevOps: 45.4 (175 sessions)
- QA and Test Engineer: approximately 49.9 (91-133 sessions per variation)
- Senior Software Engineer: 50.4 (98 sessions)
- Software Engineer: 54.2 (1,141 sessions)
- Business Analyst: 57.8 (84 sessions)
- Support Engineer: 59.1 (105 sessions)
- Senior Data Analyst: 65.3 (105 sessions)
- Data Engineer: 66.8 (175 sessions)
- Security Researcher: 68.2 (77 sessions)
- Cloud Solution Architect: 69.0 (427 sessions)
A candidate preparing for a Microsoft interview without knowing whether they are targeting a DevOps role or a Cloud Architect position is preparing for the wrong interview. The company matters less than the role.
Why DevOps candidates score so low
The 45.4 average for DevOps is not accidental. Microsoft DevOps interviews in the dataset are technically demanding in ways that generic DevOps preparation does not cover.
Questions in the DevOps sessions involve Azure pipeline configuration specifics, infrastructure-as-code architecture decisions, and incident response design scenarios — not conceptual CI/CD coverage. Candidates who prepare on Docker fundamentals, basic pipeline concepts, and general cloud terminology arrive underprepared for what Microsoft DevOps interviewers are actually asking. The score reflects this preparation gap, not an inherent difficulty with the interview format itself.
Candidates preparing for Microsoft DevOps roles should focus specifically on Azure DevOps architecture, Azure Kubernetes Service configuration, and failure mode analysis for distributed systems running on Azure infrastructure.
What Microsoft Software Engineers are actually being asked
Software Engineer is the most-interviewed Microsoft role in the dataset with 1,141 sessions and an average score of 54.2. The most frequently appearing question across Software Engineer sessions was a growth mindset and self-assessment question: "What have you identified as your greatest improvement areas, and what have you done to improve them?" This question appeared 14 times with an average score of 50.0 — below the company average of 57.8.
System design questions score significantly higher when they appear: "What components would you use for the system? How would you handle scalability for millions of URLs?" averaged 80.0 in sessions where it was asked. Questions about messaging infrastructure (dead-letter queue behavior, Azure Service Bus specifics) averaged around 50.0.
The pattern: candidates perform well on system design because they prepare for it explicitly. They underperform on growth mindset and reflective self-assessment questions because most prep resources do not treat these as requiring structured preparation.
Microsoft's behavioral round emphasizes growth mindset, learning disposition, and reflective self-awareness — what candidates who have been through the process often describe as going deeper than STAR format preparation anticipated. The live session data supports this observation. If you are preparing for a Microsoft Software Engineer interview, time spent on growth mindset question practice is higher-return than additional system design work, where candidates are already performing above average.
The 2024 volume surge
Microsoft sessions in the dataset rose from 84 in 2023 to 4,018 in 2024 — a 48-fold increase in one year. The average score dropped from 61.3 in 2023 to 57.5 in 2024, consistent with a larger and more varied candidate pool entering the pipeline following Microsoft's hiring reopening. By the first three quarters of 2025, the average had recovered slightly to 58.8 with 819 sessions.
Most of the 2024 volume came from cloud and AI infrastructure roles, particularly Azure and Copilot-adjacent positions. This explains why Cloud Solution Architect has 427 sessions despite being a senior strategic role — it was precisely these roles that Microsoft expanded most aggressively in 2024.
What this means for your prep
If you are preparing for a Microsoft Software Engineer interview: the growth mindset and self-assessment questions are scoring below average and appearing frequently. Prepare structured answers to "what are your greatest improvement areas" questions with the same depth you bring to behavioral accomplishment questions. Do not treat them as throwaways.
If you are targeting a DevOps role at Microsoft: the 45.4 average is a preparation gap signal. Generic DevOps prep is not enough. Study Azure DevOps architecture, Azure Kubernetes Service configuration, and Azure Monitor and alerting systems. Microsoft DevOps interviews test Azure-specific infrastructure knowledge more than general DevOps principles.
If you are targeting Cloud Architect roles: the 69.0 average reflects a high-performing candidate pool. Prepare to articulate Azure service selection rationale and multi-region architecture tradeoffs with business impact framing. The interviews are not just technically demanding — they require candidates to explain technical decisions in terms a business stakeholder can evaluate.
Final Round AI analyzed 48,277 live interview sessions total across the Big 5 for this analysis. The Microsoft Corporation findings — including the full role-by-year breakdown and the top question clusters with individual score averages — are in the full report: Final Round AI's Microsoft Interview Questions analysis. The methodology section includes details on score calculation, session filtering, and data exclusions.
The counterintuitive finding holds up under scrutiny: Microsoft sessions score higher than Google, Meta, Apple, and Amazon in this dataset. But the role gap within Microsoft is the more useful number for anyone actually preparing for an interview.
The growth mindset question problem
The growth mindset question cluster at Microsoft deserves a more detailed breakdown because the 50.0 average on questions appearing 14 times is hiding a distribution with high variance. Some candidates score 70 or above on these questions. Many score below 40. The gap comes down to preparation approach, not ability.
The candidates who score above average on Microsoft growth mindset questions tend to do two things differently. First, they treat the question as a narrative question rather than a skill-gap disclosure exercise. Interviewers are not asking what you are bad at. They are asking whether you are the kind of person who identifies gaps, constructs a learning path, and executes on it — the growth mindset disposition Microsoft has made central to its hiring philosophy since Satya Nadella's leadership transformation. The answer structure that scores well names a specific skill gap, explains how the candidate identified it (a project failure, a peer review, a missed deadline), describes what they did differently over a specific time period, and quantifies the outcome where possible.
Second, high scorers tend to choose improvement areas adjacent to the role they are interviewing for, not completely unrelated personal development topics. Saying "I identified that my public speaking confidence was low so I joined Toastmasters" in a Software Engineer interview scores well if you connect it to technical communication in design reviews. The same answer without that connection scores 35.
Why the company-level comparison matters less than you think
The 2.3-point gap between Microsoft and Meta at the company level has a practical implication that is easy to miss. Candidates who over-index on company-level difficulty rankings tend to calibrate their preparation to the wrong variable. A candidate who decides Microsoft is "easier than Google" and prepares less rigorously than they would for a Google interview is making a mistake that the data makes visible.
The correct calibration: Microsoft interviews are hard. The average session score of 57.8 means the typical candidate in a live interview session is answering questions at a level where they are leaving 42 points on the table. The gap between a 58 and a 70 is achievable with targeted preparation in exactly the areas where the data shows the preparation gap exists — growth mindset questions, Azure-specific technical depth for infrastructure roles, and structured behavioral narrative construction.
The comparison to Meta (55.5) and Apple (56.3) does not mean Microsoft is easy. It means those two companies are harder by a narrow margin in this dataset. All five Big 5 companies have average session scores well below 70, which is the level at which candidates typically describe themselves as having performed strongly.
Reading the data correctly
A session score from Final Round AI's Interview Copilot measures answer quality and completeness during a live interview. Higher scores reflect stronger, more complete responses. The scores are not a direct measure of whether a candidate received an offer — many factors outside answer quality affect hiring decisions. What the scores do measure is the quality of the candidate's answer performance relative to what a structured, complete answer would look like.
This means the Microsoft role distribution is measuring where candidates are underperforming in answer quality by role type, not which roles are gatekept more aggressively. A DevOps candidate who arrives with deep Azure knowledge and scores 70 is not unusual — the 45.4 average reflects the population that arrives underprepared, not a ceiling on achievable performance.
For candidates who want to see their own answer quality benchmarked against these averages before a Microsoft interview, Final Round AI's Interview Copilot (available at Final Round AI) generates real-time responses during live sessions and scores them after — giving candidates a direct measure of where they stand against the role averages from this analysis.
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