Samsung Data Annotation Engineer Interview Questions and Answers

Easy to answer ,asked mostly on sql and other ml topics

Q1. Differencde between sql and nosql
Ans. 
SQL is a relational database management system, while NoSQL is a non-relational database management system.
• SQL databases are table-based and have a predefined schema, while NoSQL databases are document-based, key-value pairs, graph databases, or wide-column stores.

• SQL databases are good for complex queries and transactions, while NoSQL databases are better for hierarchical data storage and real-time web applications.

• Ex...read more
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Q2. What are the regularization in ml
Ans. 
Regularization in machine learning is a technique used to prevent overfitting by adding a penalty term to the model's loss function.
• Regularization helps in reducing the complexity of the model by penalizing large coefficients.

• Common types of regularization include L1 (Lasso) and L2 (Ridge) regularization.

• L1 regularization adds the absolute value of the coefficients to the loss function, promoting sparsity.

• L2 regulariza...read more
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Q1. Why do you apply for this position
Ans. 
I am passionate about leveraging data to drive insights and make informed decisions.
• Passionate about working with data and analytics

• Excited about the opportunity to contribute to data-driven decision making

• Interested in the challenges and opportunities in the field of data engineering
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Q2. What is your current salay
Ans. 
I am currently earning a competitive salary based on my experience and skills.
• My current salary is in line with industry standards for data engineers.

• I have received raises and bonuses based on my performance.

• I am open to discussing salary expectations for this role.
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Q1. Data engineering related
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Q1. Introduce yourself
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Q2. Expectations
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Q1. Offers and benefits
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Q1. Exptected salary
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Q2. What do you expect for work
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I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
• Challenging projects that allow me to apply my data science skills and learn new techniques

• Opportunities for growth and advancement within the company

• Collaborative team environment where I can share ideas and work together towards common goals

• Work-life balance to ensure I can perform at my best both profession
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Topic was joining and calculating

Basic python questions

Q1. No questions just project submission
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Q1. Basic ques on python and sql
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Q1. Basic ques on resume and sql
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Q1. Asked to create a power bi dashboard
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Q1. Had coding test on SQL and Python
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Q1. Sets and tuple difference and python data structures
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