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Splunk Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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We’re given an ascending string of integers that represents page numbers.

Write a function <code>get_last_page</code> to return the last page number in the string. If the string of integers is not in the correct page order, return the last number in order.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>input = &#39;12345&#39;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>output = 5
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>input = &#39;12345678910111213&#39;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>output = 13
</code></pre>

Example 3:

Input:

<pre tabindex="0" class="chroma"><code>input = &#39;1235678&#39;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>output = 3
</code></pre>

Last Page Number

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

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