Netskope Interview Questions

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Data Structures & Algorithms
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SQL
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Machine Learning
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Probability
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Product Sense & Metrics
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Netskope Interview Questions

Practice for the Netskope interview with these recently asked interview questions.

QuestionTopicDifficulty
Data Structures & Algorithms
Easy

You are given an N-dimensional array (a nested list) and your task is to convert it into a 1D array. The N-dimensional array can have any number of nested lists and each nested list can contain any number of elements. The elements in the nested lists are integers. Write a function that takes an N-dimensional array as input and returns a 1D array.

Example 1:

Input:

array = [1, [2, 3], [4, [5, 6]], 7]

Output:

flatten_array(array) -> [1, 2, 3, 4, 5, 6, 7]

Example 2:

Input:

array = [[1, 2], [3, 4], [5, 6]]

Output:

flatten_array(array) -> [1, 2, 3, 4, 5, 6]
Machine Learning
Hard
SQL
Easy
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Netskope Salaries by Position

$97K
$220K
Software Engineer
Median: $180K
Mean (Average): $171K
Data points: 147
$124K
$135K
Data Scientist
Median: $130K
Mean (Average): $130K
Data points: 8

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the Software Engineer role pays the most with a $170,727 base salary while the Data Scientist role on average pays the least with a $129,692 base salary.

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