Meta Interview Questions, Process, and Tips

60m, DSA (graphs, trees, etc.)

Q1. How would you represent a sparse matrix?
Ans. 
A sparse matrix can be represented using a dictionary of dictionaries or a list of lists.
• Use a dictionary of dictionaries where the keys are the row and column indices with non-zero values as values.

• Alternatively, use a list of lists where each inner list represents a row with non-zero values and their column indices.

• Sparse matrices are efficient for large matrices with mostly zero values.

• Example: {0: {1: 5, 3: 7}, 2: ...read more
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Q2. How would you efficiently calculate the sum of such a matrix?
Ans. 
Efficiently calculate the sum of a matrix
• Iterate through each element in the matrix and add them to a running total

• Use parallel processing or multi-threading to calculate the sum faster

• Consider using optimized algorithms like Strassen's algorithm for matrix multiplication
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Q1. Design a metrics tracker
Ans. 
A metrics tracker to monitor and analyze key performance indicators
• Define the key metrics to track (e.g. user engagement, conversion rates)

• Implement a data collection system to gather relevant data

• Create visualizations and reports to analyze the metrics

• Set up alerts for abnormal metric values

• Regularly review and update the metrics based on business goals
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Q2. Leetcode-style DSA
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