Axtria Interview Questions, Process, and Tips

Q1. Resume based technical skills
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Q2. Behaviour questions
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Total 80 questions out of which 65 were normal l MCQs and 15 sql based coding questions

Q1. Tell me about yourself, second highest salary , question related to coleasce function
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Q1. It was on group by & join queries
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Q2. Get the latest diagnosis date of patient
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Q1. One puzzle question
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Q2. Explain Machine learning in layman language in 2 minutes to client
Ans. 
Machine learning is a type of artificial intelligence that allows computers to learn and improve from experience without being explicitly programmed.
• Machine learning is like teaching a computer to recognize patterns and make decisions based on data.

• It involves algorithms that analyze data, identify patterns, and make predictions or decisions.

• Examples include recommendation systems like Netflix suggesting movies based o...read more
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The first round was in college

Q1. It was taken in the company
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Q2. Intro, Projects and tech stack used, DSA, DBMS, OOPS, OS
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Q1. Introduction, and HR related questions
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Q1. SQL questions, informatica related questions
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Logical reasoning, mathematical reasoning

Q1. Technical interview in SQL and informatica and data warehousing
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Q1. How model maintainance was done, mlflow
Ans. 
Model maintenance is done using MLflow, a platform for managing the end-to-end machine learning lifecycle.
• MLflow provides tools for tracking experiments, packaging code, and deploying models.

• It allows for easy comparison of different model versions and tracking of performance metrics.

• MLflow can be integrated with popular machine learning libraries like scikit-learn, TensorFlow, and PyTorch.

• Model maintenance involves re...read more
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Q2. What is precision recalll
Ans. 
Precision recall is a measure used in classification tasks to evaluate the quality of the model's predictions.
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

• Precision and recall are often used together to evaluate the performance of a classification m...read more
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Behavioural question, business development experience

Discussion on resume? Why did you use deep learning model?