Interview Questions

Arasu raja B. - "Amazon price tracker tools like Aarabuy function by monitoring the prices of products listed on Amazon and notifying users when prices drop or reach a desired level. Here's a detailed look at how these tools generally work: Data Collection Web Scraping: Price trackers use web scraping techniques to extract product prices from Amazon's website. They periodically visit product pages to collect current prices. Amazon API: Some tools may use the Amazon Product Advertising API, which provides pro"See full answer

Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows: Ask clarifying questions List potential high level reasons Gather Context (TROPIC)Time Region Other features / products (internal) Platform Industry / Competition Cannibalization Establish a theory of probable cause Test theories Propose solutions Summarize "See full answer

Exponent - "This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Think about edge cases to add to equation **Breakdown components of your equat"See full answer

Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer. Unfortunately, there's no formula for technical questions, but some general tips are: Use analogies when you can Break your solution into clear, bite-size steps Don't be afraid to use examples to b"See full answer

Exponent - "This is an Improve a Product question with a slight twist. We have to both pick the product we're planning to improve, and offer at least three improvements. Let's first go over the Improve a Product formula: Ask clarifying questions Identify users, behaviors, and pain points State product goal Brainstorm small improvements Brainstorm bolder improvements Measure success Summarize Now, let's begin! Ask clarifying questions Before we beg"See full answer

Exponent - "You should be able to identify this as a Strategy Question, which asks you to justify high-level business decisions and strategy. Below are some reasons why Instagram may have removed the like count. > That's a great question. I think there are three core reasons for why Instagram removed the like count. Specifically I'd say these are the reasons in order of importance:To increase posting engagement > To improve perception and generate goodwill > Move attention to other features > I'll go in"See full answer

Exponent - "This many not look like it, but this is actually a Diagnosis problem. The twist here is that it's asking you to diagnose something positive. The approach is the same, so don't panic! Use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows: Ask clarifying questions List potential high level reasons Gather Context (TROPIC)Time Region Other features / products (internal) Platform Industry / Competition Cannibalization "See full answer

Exponent - "This is one of the core behavioral questions that you should expect to cover in any interview. In particular, it asks you to justify why you want to work at a specific company that you've applied for. There's no right answer for this, however we do recommend you list at least three distinct reasons. Here's an example of what you might say: > That's a great question. There are three main reasons why I want to work on Oculus:Shaping a generation > Interesting product problems > Mentorship > I'll g"See full answer

Harsh S. - "AUC 0.5 equates to a random model, so when creating any machine learning model or statistical model, you ideally want your model to at least beat this random baseline."See full answer

Sai R. - "def countuniqueoutfits(totalpants: int, uniquepants: int, totalshirts: int, uniqueshirts: int, totalhats: int, uniquehats: int) -> int: """ Number of unique outfits can simply be defined by (uniquepantschoose1uniqueshirtschoose1uniquehatschoose_1) (uniquepantschoose1*uniqueshirtschoose1) # Not wearing a hat nchoosek is n """ res = (uniquepants*uniqueshirtsuniquehats) + (uniquepantsunique_shirts) return res print(countuniqueoutfits(2, 1, 1, 1, 3, 2))"See full answer

Gaddipati V. - "NA"See full answer