RCS Interview Questions and Answers

Q1. What is your weekness
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Q2. What is your strength
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Q1. Why should I hire you
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Q2. What is your salary expectation
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Q3. Can you work under pressure?
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Q1. What is the diesel consumption for Dence Bituen material.
Ans. 
The diesel consumption for Dense Bitumen material varies depending on factors such as temperature, mix design, and equipment used.
• Diesel consumption for Dense Bitumen material is typically measured in liters per ton of material produced.

• Factors such as temperature of the mix, mix design, and type of equipment used can affect the diesel consumption.

• For example, a higher temperature mix may require more diesel to heat th...read more
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Q2. Brief your Past Experience
Ans. 
I have over 10 years of experience in management roles, leading teams and implementing strategic initiatives.
• Managed a team of 50+ employees in a retail setting, increasing sales by 20% within one year

• Implemented new customer service protocols that resulted in a 15% increase in customer satisfaction

• Led cross-functional projects to streamline operations and reduce costs by 10%
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Normal aptitude test containing behavioural, mathematical, English questions

Oopc, dbms, sql, se concepts were there with few os, dsa and got related questions

Q1. Go through your resume and question about project backend functionality
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Q2. Code asked for backend application developed by me which was there in resume
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Q1. Behavioural questions were asked
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Topic was- As a consultant what recommendations would you provide to Byjus to prevent bankruptcy?

1. Guesstimate: Estimate the Market Size for the new Iphone 17
2. Case: Profitability decline for Pepsico
3. Mekko Chart insights
4. What is NPV and IRR?
5. Shortcomings of Vlookup in Excel, outputs of Index and Match function.

Sliding window leet code style

Computer vision task. Image segmentation

Q1. What was the algorithm you used in the task
Ans. 
I used the Random Forest algorithm for the task.
• Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

• It is commonly used for classification and regression tasks.

• Example: RandomForestClassifier in scikit-learn library.
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Q2. What are metrics you can use for this task
Ans. 
Metrics for evaluating machine learning tasks
• Accuracy

• Precision

• Recall

• F1 Score

• ROC AUC

• Confusion Matrix
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Q1. A presentation of a past project with followup questions
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Q2. Some questions on text classification
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If everyone is cheating you should also do it?

Q1. Everyhting about project..
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Q2. Linear vs logistic regression
Ans. 
Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.
• Linear regression is used to predict a continuous outcome based on one or more input variables.

• Logistic regression is used to predict the probability of a binary outcome based on one or more input variables.

• Linear regression assumes a linear relationship between the independent and dependent variables, while logist...read more
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Q3. Normalization in dbms
Ans. 
Normalization in DBMS is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Normalization involves breaking down data into smaller, more manageable tables and establishing relationships between them.

• It helps in reducing data redundancy, minimizing data anomalies, and improving data consistency.

• There are different normal forms such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with spec...read more
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Q4. List array difference etc
Ans. 
Array difference is finding the elements that are present in one array but not in another.
• Use set operations like difference to find elements in one array but not in another.

• Example: arr1 = ['a', 'b', 'c'], arr2 = ['b', 'c', 'd'], arr_diff = set(arr1) - set(arr2) = ['a']
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