Microsoft

Assessment Rubric Overview: "Maximise Company Value"

This assessment evaluates a candidate's proficiency in algorithm design, problem-solving, and understanding of project dependencies within a constrained resource environment. The problem requires determining the maximum value achievable by completing at most two projects, considering specific completion requirements.

Core Competencies and Skills Evaluated:

• Algorithm Design and Optimization: Candidates must devise an efficient algorithm to identify the optimal pair of projects, considering dependencies and resource constraints.

• Graph Theory and Dependency Management: The problem involves understanding and managing project dependencies, which can be represented as a directed acyclic graph (DAG).

• Dynamic Programming and Greedy Algorithms: Utilizing dynamic programming to compute the maximum achievable value and greedy algorithms to select the optimal project pair are key to solving this problem.

• Complexity Analysis: Assessing the time and space complexity of the proposed solution is crucial, especially given the problem's constraints.

Behavioral Traits and Problem-Solving Approaches Assessed:

• Analytical Thinking: The ability to break down complex problems into manageable sub-problems and systematically address each component.

• Attention to Detail: Ensuring all project dependencies are accurately accounted for to avoid cycles or invalid project selections.

• Adaptability: Adjusting the approach based on the problem's constraints and requirements, demonstrating flexibility in problem-solving strategies.

• Communication Skills: Clearly articulating the thought process, solution approach, and reasoning behind decisions made during the problem-solving process.

Assessment Process Expectations:

Candidates can anticipate a structured interview process that includes:

1. Initial Screening: A recruiter will conduct a 30-45 minute call to discuss the candidate's background, motivation, and alignment with the role.

2. Technical Interviews: Multiple rounds focusing on coding exercises, algorithm design, and problem-solving skills. Candidates should be prepared to solve problems in real-time, often using a shared code editor. It's advisable to practice coding without syntax highlighting or autocomplete features to simulate the interview environment. (candor.co)

3. Behavioral Interviews: Assessing cultural fit and alignment with Microsoft's core values. Utilizing the STAR (Situation, Task, Action, Result) method to structure responses is recommended. (candor.co)

Preparation Recommendations:

• Algorithm and Data Structures Mastery: Focus on understanding and implementing algorithms related to graph theory, dynamic programming, and greedy methods. Regular practice with problems from platforms like LeetCode can be beneficial. (getbridged.co)

• System Design Understanding: While not directly related to this problem, having a foundational knowledge of system design principles can be advantageous.

• Behavioral Question Preparation: Reflect on past experiences that demonstrate problem-solving abilities, teamwork, and adaptability. Prepare to discuss these experiences in detail, highlighting the impact and outcomes.

Evaluation Criteria and Technical Concepts:

• Correctness and Efficiency: The solution should correctly identify the optimal project pair and operate within the problem's constraints.

• Clarity of Thought Process: Clearly explaining the approach, including any trade-offs considered, and justifying the chosen solution path.

• Code Quality: Writing clean, maintainable, and well-documented code.

• Cultural Fit: Demonstrating alignment with Microsoft's values, such as collaboration, growth mindset, and a passion for technology.

By focusing on these areas, candidates can effectively prepare for the assessment and align their responses with Microsoft's expectations.