Avantha Group Interview Questions and Answers

Q1. Self Introduction
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Q1. Worst and very cunning interviewer
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Q1. Basics of Python, Flask, ReactJs, RestApi Development
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Q2. Python - Difference between is and ==
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Q3. React - useEffect vs useState
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Q4. Authentication in RestApi
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Q5. React - Pure Component and Higher order components
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A standardized assessment that measures a person's skills, cognitive abilities, and potential to perform in a specific role.

Q1. Technical interview questions at Automatic Data Processing (ADP) may cover topics such as programming, databases, and software development.
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Q2. They may also ask about problem-solving and how you approach challenging tasks.
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Q3. Emphasize a structured method that involves clearly defining the issue, gathering relevant information, brainstorming potential solutions, evaluating options carefully, implementing the chosen solution, an...read more
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Q4. Data structures, algorithms, SQL querying, object-oriented programming principles, software development lifecycle, database concepts (relational vs. NoSQL), coding challenges in relevant languages (like Py...read more
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Q1. May ask about your background, skills, and how you handle challenges
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Q2. Background questions Tell me about yourself, What are your career goals, What are your strengths and weaknesses, What do you know about ADP, and Why do you want to work at ADP.
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Q1. Knowledge of roles for vacancy
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Q2. Good communication skills required
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Q1. HOD round with overall question related to job profile & situation based questions
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Q1. Can you explain your CV based on your experience?
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Q2. Bank reconciliation
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40 marks of exam you want only minimum 20 marks

Q1. If you passed on test then explained your salary range and work
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Q1. Your next manager ask you question regarding work
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Q1. What are the aml and kyc requirements?
Ans. 
AML and KYC requirements are regulations that financial institutions must follow to prevent money laundering and verify the identity of their customers.
• AML (Anti-Money Laundering) requirements involve monitoring transactions, reporting suspicious activities, and conducting customer due diligence.

• KYC (Know Your Customer) requirements involve verifying the identity of customers, assessing their risk level, and maintainin...read more
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Q2. Why should we hire you, briefly describe a scenario where you would showcase a different skill or talent compared with your fellow employees?
Ans. 
I have a strong attention to detail and analytical skills that set me apart from my colleagues.
• I have a proven track record of accurately identifying and resolving discrepancies in KYC documentation.

• I excel at conducting thorough research and analysis to ensure compliance with regulations.

• My ability to effectively communicate complex information to stakeholders sets me apart in team collaborations.
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Q3. Strength and weakness?
Ans. 
Strength: attention to detail, Weakness: perfectionism
• Strength: Ability to meticulously review documents and identify discrepancies

• Strength: Strong analytical skills to detect potential risks or fraudulent activities

• Weakness: Striving for perfection may lead to spending too much time on a task

• Weakness: Difficulty in delegating tasks due to desire for everything to be done perfectly
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Q4. Project and achievements?
Ans. 
Implemented a new KYC process resulting in 30% reduction in onboarding time and 20% decrease in errors.
• Led a team to revamp KYC procedures and systems

• Introduced automation tools to streamline verification process

• Trained staff on updated KYC regulations and best practices
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Q5. Are you a team player? What do you do when you don’t get along with certain colleagues? How do you manage conflict resolution?
Ans. 
Yes, I am a team player. I believe in open communication and collaboration. When conflicts arise, I address them directly and seek resolution.
• I believe in open communication and collaboration within the team.

• I address conflicts directly and seek resolution through constructive conversations.

• I focus on finding common ground and working towards a solution that benefits the team as a whole.
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Q6. Provide a situation where you might have failed previously? What has that experience taught you?
Ans. 
I failed to meet a deadline due to poor time management.
• Underestimated the time needed for a project

• Did not prioritize tasks effectively

• Learned to create a detailed schedule and set realistic deadlines
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General English grammar knowledge and some calculations

Q1. CTC and expected salary details?
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Q2. No you cannot negotiate and end up taking what they give you!
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Q3. No relocation time, do it during weekends
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Q4. No target compensation or other benefits
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Q5. If ur employed through agency or consultancy you will be always a contingent and treated less than permanent employees
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Q6. 12 hours a day, 6 days a week, no social or life balance
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It was basic questions of maths and logical reasoning

It’s related to behavioural question fully

Q1. Interviewer asked questions related to the field which I studied 3 to 4 questions example fullwave and half wave difference
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Q2. Also checked our communication through the story telling
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Q1. Profile discussion
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Q1. Relating to current job and travelling
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Q2. Job role details
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It was an hour-long coding round, asked questions on basic pandas slicing dicing, building simple regression model, handling class imbalance in SVM

Q1. Mostly resume based, went deep into projects and asked basics of ML algorithms, ML Ops and OOPS concepts
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Q1. Resume based questions, basics of Machine Learning, and small case study (problem formulation and feature brainstorming)
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Q1. Different types of ML models, how they work, differences among them. Types of performance metrics, pros and cons of them, etc.
Ans. 
Different types of ML models, how they work, differences among them, types of performance metrics, pros and cons.
• Types of ML models include linear regression, decision trees, support vector machines, neural networks, etc.

• ML models work by learning patterns from data to make predictions or decisions.

• Differences among models include complexity, interpretability, scalability, and performance.

• Performance metrics for ML mod...read more
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Develop a solution for inventory optimization of a Shoe retailer. Forecast sales and plan inventory at a store level for a national seller.

Why you want to join the company, Simple case (how do you use analytics to clear stock of a particular seasonal product after the peak season).