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Axtria

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10+ Interview Questions and Answers

Updated 6 Dec 2024
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Q1. Geeks for geeks puzzles 1. How many parts are divided with one circle & 4 lines.

Ans.

The number of parts divided by one circle and four lines is 11.

  • Each line intersects with every other line and the circle.

  • Each intersection point creates a new part.

  • The circle itself also counts as a part.

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Q2. Random forest vs decision tree vs xg boost

Ans.

Random forest is an ensemble method using multiple decision trees, XGBoost is a gradient boosting algorithm that builds trees sequentially.

  • Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

  • Decision tree is a single tree model that makes decisions based on features to predict outcomes.

  • XGBoost is a gradient boosting algorithm that builds trees sequentially, optimizing the model's performance.

  • Random forest reduces ove...read more

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Q3. Culture about Axtria and policies

Ans.

Axtria promotes a collaborative and inclusive culture with a focus on innovation and growth.

  • Axtria values diversity and inclusion in the workplace

  • The company encourages innovation and creativity

  • There are policies in place to support employee growth and development

  • Axtria promotes a collaborative work environment

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Q4. Ridge and lasso regression difference

Ans.

Ridge and lasso regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.

  • Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients, while lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients.

  • Ridge regression tends to shrink the coefficients towards zero but does not eliminate them completely, while lasso regr...read more

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Q5. How to deal with problems that come daily along the way

Ans.

To deal with daily problems, it is important to stay calm, prioritize tasks, seek help when needed, and learn from each experience.

  • Stay calm and composed to think clearly and make rational decisions

  • Prioritize tasks based on urgency and importance

  • Seek help from colleagues or supervisors when facing complex problems

  • Learn from each experience to prevent similar problems in the future

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Q6. 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 on your viewing history, or self-driving cars learning to n...read more

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Q7. Get the latest diagnosis date of patient

Ans.

To get the latest diagnosis date of a patient

  • Query the database for the patient's diagnosis dates

  • Sort the dates in descending order to get the latest one

  • Retrieve the latest diagnosis date

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Q8. What are joins in SQL?

Ans.

Joins in SQL are used to combine rows from two or more tables based on a related column between them.

  • Joins are used to retrieve data from multiple tables based on a related column between them

  • Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

  • Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column

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Q9. What is exp in pharma

Ans.

Exp refers to expiration date in the pharmaceutical industry.

  • Exp refers to the expiration date of a pharmaceutical product.

  • It is important to check the exp date before using any medication to ensure its effectiveness and safety.

  • Expired medications should be properly disposed of to avoid potential harm.

  • Manufacturers usually print the exp date on the packaging of the product.

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Q10. Design the source to target mapping for given scenario, SQL, Previous Project, Data warehousing concepts, SCDs

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Q11. qns on tech tools used

Ans.

I have experience using a variety of tech tools including Microsoft Office Suite, Google Analytics, and Salesforce.

  • Microsoft Office Suite (Word, Excel, PowerPoint)

  • Google Analytics for data analysis

  • Salesforce for CRM management

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