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I applied via Naukri.com and was interviewed before Oct 2023. There was 1 interview round.
Fetching API data involves making requests to a server to retrieve information.
Use fetch() or axios to make API requests
Specify the URL of the API endpoint
Handle the response data accordingly, such as parsing JSON or displaying it on the frontend
I applied via Naukri.com and was interviewed in Feb 2024. There were 2 interview rounds.
Project management questions
1. How will you manage a team
2. How will you handle deadline
I applied via Campus Placement
We have to solve 6 coding questions within 1 hour.The test was in online
I applied via Company Website and was interviewed before Nov 2022. There were 2 interview rounds.
Social media marketing tactics include creating engaging content, utilizing influencers, running targeted ads, and engaging with followers.
Create engaging content to attract and retain followers
Utilize influencers to reach a larger audience
Run targeted ads to reach specific demographics
Engage with followers by responding to comments and messages
Use analytics to track performance and adjust strategies accordingly
Creative solutions in SMM involve unique content, engaging visuals, interactive campaigns, and influencer collaborations.
Utilize user-generated content to increase engagement
Create interactive polls, quizzes, and contests to boost interaction
Collaborate with influencers to reach a wider audience
Use visually appealing graphics and videos to capture attention
Implement storytelling techniques to connect with the audience
KS Smart Solutions interview questions for popular designations
I applied via LinkedIn and was interviewed before May 2023. There were 3 interview rounds.
Bias is error due to overly simplistic assumptions in the learning algorithm, while variance is error due to too much complexity.
Bias is the error introduced by approximating a real-world problem, which can lead to underfitting.
Variance is the error introduced by modeling the noise in the training data, which can lead to overfitting.
High bias can cause an algorithm to miss relevant relations between features and target...
Mitigation techniques for under fitting in machine learning models
Increase model complexity by adding more features or layers
Reduce regularization strength to allow the model to fit the training data better
Use more advanced algorithms like ensemble methods or deep learning
Increase the number of training epochs for neural networks
Collect more data to improve the model's ability to generalize
Linked list traversal
I applied via Walk-in and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Aug 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed in Nov 2020. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Feb 2020. There were 6 interview rounds.
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