Capgemini Business Intelligence Consultant Interview Questions and Answers

Q1. Resume screening Self introduction Roles and responsibilities
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Given task Statics standard deviations Attrition Average of given table values and Given graph economi graph and poverty graph base on that need to gave answers 30 qustion and 60 min time duration

Q1. Versant test should be need to attend Hirepro will have interview prosess in YouTube will check and prepare mid level hard
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Q2. We can goo for online prosess how it is
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Q1. Manger Level round they will ask KPI NPS AHT standard deviations Service Level handling Root cause Analysis Weighted average Same product how will calculate Totall Swer % how will get Many of like bpi <20 ...read more
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Q1. Salary discussion and update structure of our role and responsibilities
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Gangster Disciples (GD) is a gang, while Graphical Display (GD) refers to a visual representation of data.

Aptitude tests are used to assess a person's ability to perform specific tasks, think critically, and solve problems. They are commonly used in job recruitments, college admissions, and competitive exams.

### **Types of Aptitude Tests**
1. **Numerical Aptitude** – Assesses mathematical skills, including arithmetic, algebra, ratios, percentages, and data interpretation.
2. **Logical Reasoning** – Evaluates pattern recognition, sequences, and logical deductions.
3. **Verbal Ability** – Tests grammar, comprehension, vocabulary, and sentence formation.
4. **Abstract Reasoning** – Measures the ability to identify patterns, trends, and relationships among shapes or figures.
5. **Spatial Reasoning** – Tests the ability to visualize and manipulate objects in space.
6. **Mechanical Reasoning** – Assesses understanding of mechanical and physical concepts, often for technical roles.
7. **Situational Judgment Test (SJT)** – Evaluates decision-making and problem-solving in workplace scenarios.

### **Common Exam Patterns**
- Multiple-choice questions (MCQs)
- Timed sections
- Increasing difficulty level
- Negative marking (in some tests)

### **Preparation Tips**
✔️ **Practice Regularly** – Solve sample questions and previous papers.
✔️ **Time Management** – Work on speed and accuracy.
✔️ **Learn Shortcuts** – Use mental math tricks and reasoning techniques.
✔️ **Improve Reading Skills** – Enhance vocabulary and comprehension for verbal sections.
✔️ **Use Online Mock Tests** – Simulate real test conditions.

Would you like sample questions or specific test details for a job or exam?

Q1. Project related questions from your CV
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Q1. Question on transformers
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Q2. Comparison of transfer learning and fintuning.
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Transfer learning involves using pre-trained models on a different task, while fine-tuning involves further training a pre-trained model on a specific task.
• Transfer learning uses knowledge gained from one task to improve learning on a different task.

• Fine-tuning involves adjusting the parameters of a pre-trained model to better fit a specific task.

• Transfer learning is faster and requires less data compared to training a...read more
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*****, arjumpudi satyanarayana

Q1. What is the python language
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Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

• It emphasizes code readability and uses indentation for block delimiters.

• Python has a large standard library and a vibrant community of developers.

• Example: print('Hello, World!')

• Example: import pandas as pd
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Q2. What is the code problems
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Code problems refer to issues or errors in the code that need to be identified and fixed.
• Code problems can include syntax errors, logical errors, or performance issues.

• Examples of code problems include missing semicolons, incorrect variable assignments, or inefficient algorithms.

• Identifying and resolving code problems is a key skill for data scientists to ensure accurate and efficient data analysis.
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Q3. What is the python code
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Python code is a programming language used for data analysis, machine learning, and scientific computing.
• Python code is written in a text editor or an integrated development environment (IDE)

• Python code is executed using a Python interpreter

• Python code can be used for data manipulation, visualization, and modeling
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Q4. What is the project
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The project is a machine learning model to predict customer churn for a telecommunications company.
• Developing predictive models using machine learning algorithms

• Analyzing customer data to identify patterns and trends

• Evaluating model performance and making recommendations for reducing customer churn
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Q5. What is the lnderssip
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The question seems to be incomplete or misspelled.
• It is possible that the interviewer made a mistake while asking the question.

• Ask for clarification or context to provide a relevant answer.
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Quantitavtive logical verbal puzzles reasoning arithmetic

DSA array string loops function and algorithms

Communication leadership teamwork

Fundamental of ai ml and also about nural network

Forecasting problem - Predict daily sku level sales

Q1. What is difference between bias and variance
Ans. 
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is the error introduced by approximating a real-world problem, leading to underfitting.

• Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

• High bias can cause a model to miss relevant relationships between features and target variable.

• High variance can cause a model to ...read more
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Q2. Parametric vs non parametruc model
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Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
• Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

• Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

• Examples of parametric models inc...read more
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