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Segmenting a mobile phone involves dividing the market based on different criteria such as demographics, psychographics, and behavior.
Segment based on demographics like age, gender, income, and occupation.
Segment based on psychographics like lifestyle, personality, and values.
Segment based on behavior like usage patterns, brand loyalty, and purchase frequency.
Guesstimation exercise
I applied via Monster and was interviewed in Oct 2023. There were 5 interview rounds.
Python Coding Test to test general knowledge on progamming
Bias-variance tradeoff is the balance between model complexity and generalization error.
Bias refers to error from erroneous assumptions in the learning algorithm, leading to underfitting.
Variance refers to error from sensitivity to fluctuations in the training data, leading to overfitting.
Increasing model complexity reduces bias but increases variance, while decreasing complexity increases bias but reduces variance.
The...
This is the third round
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
Great Learning interview questions for popular designations
I applied via Campus Placement and was interviewed before Nov 2023. There was 1 interview round.
Question were very basic from array and stacks
Get interview-ready with Top Great Learning Interview Questions
Inside sales refers to sales conducted remotely, typically over the phone or online, rather than in person.
Inside sales involves selling products or services remotely, often through phone calls, emails, or online demos.
Inside sales reps focus on generating leads, qualifying prospects, and closing deals without meeting clients face-to-face.
Technology plays a key role in inside sales, with CRM systems, sales automation t...
Kind of good. Prepare well before attending
AI , and current affairs.
I applied via LinkedIn and was interviewed in Aug 2023. There were 4 interview rounds.
Questions answers technical test, editing discussion
I applied via Referral and was interviewed in Feb 2023. There were 3 interview rounds.
AD level analysis on Google ads involves evaluating the performance of individual ads to optimize campaign effectiveness.
Analyze click-through rates (CTR) of each ad to determine which ones are most effective
Evaluate conversion rates to see which ads are driving the most valuable actions
Consider ad relevance and quality score to improve ad performance
Use A/B testing to compare different ad variations and identify the m
Complete understanding of the business model
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