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Vialto Partners Tax Intern Interview Questions and Answers
Vialto Partners Tax Intern Interview Experiences
1 interview found
Anonymous
Selected
I applied via campus placement at Dayananda Sagar College of Engineering, Bangalore and was interviewed in Mar 2024. There were 2 interview rounds.
There was an aseesement and the questions was on logical reasoning, aptitude and English skill
(5 Questions)
- Q1. Explain about the Residential status tax deductions
- Ans.
Residential status tax deductions are based on the taxpayer's status as a resident or non-resident for tax purposes.
Resident taxpayers are eligible for a wider range of deductions compared to non-resident taxpayers.
Deductions may include expenses related to housing, education, healthcare, and investments.
Non-resident taxpayers may have limited deductions available to them.
The residential status is determined based on t...
- Q2. Tell me the old tax slab rates
- Ans.
The old tax slab rates varied based on income levels and were different for individuals, HUFs, and senior citizens.
Tax slab rates for individuals: 0-2.5 lakhs (no tax), 2.5-5 lakhs (5%), 5-10 lakhs (20%), above 10 lakhs (30%)
Tax slab rates for HUFs: 0-2.5 lakhs (no tax), 2.5-5 lakhs (5%), 5-10 lakhs (20%), above 10 lakhs (30%)
Tax slab rates for senior citizens: 0-3 lakhs (no tax), 3-5 lakhs (5%), 5-10 lakhs (20%), abov
- Q3. What is GST and explain the same.
- Ans.
GST stands for Goods and Services Tax, a value-added tax levied on most goods and services sold for domestic consumption.
GST is a consumption tax that is collected on the value added to goods and services at each stage of the supply chain.
It replaced multiple indirect taxes in India and aims to simplify the tax structure and reduce tax evasion.
GST has multiple tax slabs ranging from 0% to 28%, with different rates for ...
- Q4. Tell me about yourself
- Q5. Why are you choosing Tax role
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Yakshith Naidu
Selected
(3 Questions)
- Q1. What is a logistic regression model?
- Ans.
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)
It estimates the probability that a given input belongs to a particular category.
The model calculates the odds of the event happening.
It uses a logistic function to map the input values to ...
- Q2. Explain the random forest model.
- Ans.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
- Q3. Explain decision trees
- Ans.
Decision trees are a popular machine learning algorithm used for classification and regression tasks.
Decision trees are a flowchart-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.
They are easy to interpret and visualize, making them popular for exploratory data analysis.
Decision trees can handle both numerical ...
(2 Questions)
- Q1. How do you see yourself in next 5 years?
- Ans.
In the next 5 years, I see myself growing into a senior data scientist role, leading projects and mentoring junior team members.
Continuing to enhance my skills in data analysis, machine learning, and programming languages such as Python and R
Taking on more responsibilities in project management and client interactions
Working towards becoming a subject matter expert in a specific industry or domain
Mentoring and guiding ...
- Q2. What are you 5 years back.what is the difference?
- Ans.
I was a student pursuing my undergraduate degree in Computer Science.
5 years back, I was studying Computer Science in college.
Now, I have completed my degree and gained experience in data science through internships and projects.
I have developed strong analytical and programming skills over the past 5 years.
I have also learned new technologies and tools in the field of data science.
I have a better understanding of real
Skills evaluated in this interview
The asked to give gd on life.
(2 Questions)
- Q1. What is thermodynamics 1st law?
- Ans.
The first law of thermodynamics states that energy cannot be created or destroyed, only transferred or converted.
Energy can be transferred between systems or converted from one form to another.
The total energy of a closed system remains constant.
Mathematically, the first law of thermodynamics is expressed as: ΔU = Q - W, where ΔU is the change in internal energy, Q is the heat added to the system, and W is the work don...
- Q2. What is thermodynamics 2nd law and it's real life application?
- Ans.
The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time.
Heat naturally flows from hot to cold objects due to the second law of thermodynamics
Engines are less efficient than ideal due to the second law of thermodynamics
Entropy always increases in a closed system, leading to disorder and randomness
Interview Preparation Tips
(2 Questions)
- Q1. What is perspective view in ED
- Q2. What are distributor-type fuel pumps
- Ans.
Distributor-type fuel pumps are mechanical fuel pumps commonly used in older vehicles.
Distributor-type fuel pumps are driven by the engine's camshaft or distributor shaft.
They are typically found in carbureted engines.
These pumps deliver fuel to the carburetor through a series of mechanical components.
Examples include the AC Delco mechanical fuel pump and the Carter mechanical fuel pump.
Interview Preparation Tips
(1 Question)
- Q1. Tell me about yourself, cv, guesstimate and puzzles
Interview Preparation Tips
I applied via Company Website and was interviewed in Apr 2024. There were 3 interview rounds.
Hardest part of the process, Wide range of questions and time consuming and you don't have much time in this, try to solve as much as you can
(2 Questions)
- Q1. SQL Query do leetcode 50 SQL questions more than enough
- Q2. DSA medium questions leetcode
(1 Question)
- Q1. Puzzles gfg 100 puzzles will help you
I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.
Simple queations with some technical questions
(2 Questions)
- Q1. Difference between digital and continuse signals
- Ans.
Digital signals are discrete and represent information in binary form, while continuous signals are analog and represent information in a continuous manner.
Digital signals have a finite set of possible values (0 or 1), while continuous signals can have an infinite number of values within a range.
Digital signals are more immune to noise and distortion compared to continuous signals.
Examples of digital signals include co...
- Q2. Types of antennas used
- Ans.
Various types of antennas are used for different applications, including dipole, Yagi, patch, and parabolic antennas.
Dipole antennas are simple and commonly used for radio and television broadcasting.
Yagi antennas are directional and used for long-distance communication.
Patch antennas are compact and used in wireless communication systems.
Parabolic antennas are used for satellite communication and have high gain.
Interview Preparation Tips
- Telecommunication
(2 Questions)
- Q1. Introduction of yourself
- Q2. Educational background
Interview Preparation Tips
suhail ahmed
Selected
I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.
(2 Questions)
- Q1. It was about my project and the subjects I am interested in
- Q2. I just explained about my project and answered some question about the automobile industry
I applied via Campus Placement
Aptitude questions and Core questions
(2 Questions)
- Q1. Walk through resume and describe about project
- Q2. Some basic HR questions and Basic Technical questions based on resume
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Rating in categories
|
Tax Associate
163
salaries
|  ₹5 L/yr - ₹8 L/yr |
|
Senior Associate
125
salaries
| ₹6 L/yr - ₹17.5 L/yr |
|
Associate
100
salaries
| ₹4.2 L/yr - ₹12.8 L/yr |
|
Tax Specialist
75
salaries
| ₹2.5 L/yr - ₹5 L/yr |
|
Manager
64
salaries
| ₹15.7 L/yr - ₹39 L/yr |
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