Microsoft vs Salesforce: Interview Question Comparison

When preparing for technical interviews at major tech companies, understanding the specific focus and patterns of each company's question bank can significantly streamline your preparation. Microsoft and Salesforce, while both requiring strong algorithmic problem-solving skills, present distinct profiles in terms of question volume, difficulty distribution, and topical emphasis. This comparison breaks down their interview question landscapes to help you prioritize your study.

Question Volume and Difficulty

The most immediate difference is scale. Microsoft's question bank is vast, with 1,352 catalogued questions, dwarfing Salesforce's 189. This volume suggests Microsoft's interviews draw from a much broader pool of problems, making it harder to encounter repeats and emphasizing deep, adaptable problem-solving skills over pattern memorization.

The difficulty distribution also varies:

• Microsoft (E379/M762/H211): The difficulty is weighted towards Medium (M762, ~56% of questions), with a substantial number of Easy and a meaningful set of Hard problems. This indicates a strong focus on core algorithmic concepts applied in non-trivial ways.
• Salesforce (E27/M113/H49): The distribution is similarly skewed toward Medium (M113, ~60% of questions), but the total count is far lower. The smaller pool, especially of Hard questions (H49), might suggest a slightly more consistent question set, though mastery of Medium problems is clearly the critical benchmark for both.

In essence, preparing for Microsoft requires grinding a larger number of predominantly Medium-difficulty problems to build breadth, while Salesforce preparation can involve more focused, deep practice on a narrower set.

Topic Overlap

Despite the volume difference, both companies concentrate on the same fundamental data structures and algorithms. The top topics are identical: Array, String, Hash Table, and Dynamic Programming.

This overlap means your core preparation strategy is similar. You must be proficient in manipulating arrays and strings, using hash maps for efficient lookups and frequency counting, and solving classic DP patterns. The difference lies in the depth and variety of questions within these topics.

For example, a common theme at both might be string manipulation using a hash table, but Microsoft's larger bank will present more variations.

# Example: A common pattern (Isomorphic Strings - LeetCode 205)
def isIsomorphic(s: str, t: str) -> bool:
    map_s_t, map_t_s = {}, {}
    for char_s, char_t in zip(s, t):
        if (char_s in map_s_t and map_s_t[char_s] != char_t) or \
           (char_t in map_t_s and map_t_s[char_t] != char_s):
            return False
        map_s_t[char_s] = char_t
        map_t_s[char_t] = char_s
    return True

Which to Prepare for First

If you are interviewing at both companies, prepare for Microsoft first. The rigorous, high-volume practice required to cover its broad question bank will inherently cover the core topics and difficulty level needed for Salesforce. Mastering a wide array of Medium problems for Microsoft will make the focused Salesforce question set feel more manageable.

A strategic plan is:

1. Build Foundation: Solidify core algorithms (especially Arrays, Strings, Hash Tables, DP) using platforms like LeetCode.
2. Microsoft-Focused Grind: Tackle a large number of Medium-difficulty problems. Use the Microsoft tag to practice company-specific questions, ensuring you see a wide variety of patterns.
3. Salesforce Tune-up: In the final 1-2 weeks before a Salesforce interview, shift to solving their specific tagged problems. This will familiarize you with any subtle stylistic preferences or recurring problem themes in their smaller bank.

Ultimately, Microsoft preparation is an endurance test of algorithmic breadth, while Salesforce preparation is a test of depth on core concepts. Starting with the broader challenge will make the subsequent focused preparation more efficient.

• Practice Microsoft questions: /company/microsoft
• Practice Salesforce questions: /company/salesforce