Global Interior Design Interview Questions and Answers

Q1. Walk me through your resume. About insurance process what is policy life cycle.
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Q2. Tell me about your previous role.
Ans. 
I was responsible for analyzing and improving processes to increase efficiency and productivity.
• Led process improvement initiatives to streamline operations

• Identified bottlenecks and implemented solutions to optimize workflows

• Collaborated with cross-functional teams to gather data and feedback

• Utilized data analysis tools to track performance metrics

• Developed and implemented process documentation and training materials
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Q1. Asked about Gallagher.
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Q2. What do you know about Gallagher.
Ans. 
Gallagher is a global insurance brokerage, risk management, and consulting firm.
• Founded in 1927 by Arthur J. Gallagher

• Headquartered in Rolling Meadows, Illinois

• Provides insurance, risk management, and consulting services globally

• Offers services in areas such as commercial insurance, employee benefits, and personal insurance

• Has a strong focus on client relationships and personalized service
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Q1. Situation based questions were asked.
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Q2. How would you built the trust with the stakeholders
Ans. 
Building trust with stakeholders involves open communication, transparency, and delivering on commitments.
• Establish open lines of communication with stakeholders to address concerns and provide updates

• Be transparent about project progress, challenges, and decisions

• Deliver on commitments and follow through on promises to build credibility

• Seek feedback from stakeholders and incorporate their input into decision-making pr...read more
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Shortlisted students were divided in group of 19

Selected students from gd got the call for case study round

Q1. Questions were based on the case study and guesstimates
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Q2. No. of aeroplane flying in the sky right now
Ans. 
It is impossible to accurately determine the exact number of airplanes flying in the sky at any given moment.
• The number of airplanes in the sky constantly changes due to take-offs, landings, and flights being at different stages.

• Factors such as time of day, weather conditions, and air traffic also affect the number of airplanes in the sky.

• Air traffic control systems may provide estimates of the number of airplanes in a
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Q3. How will u utilise 1 acre of land provided to u near ur college
Ans. 
I would utilize the 1 acre of land near my college for creating a sustainable community garden.
• Establishing vegetable and fruit gardens to promote healthy eating among students

• Setting up a composting area to reduce waste and enrich the soil

• Creating a space for outdoor classes and events to enhance learning and community engagement
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Q4. How to start a starbuck franchisein ur town
Ans. 
To start a Starbucks franchise in your town, you need to follow a specific process set by the company.
• Contact Starbucks corporate office to inquire about franchise opportunities

• Meet the financial requirements and submit a franchise application

• Find a suitable location for the Starbucks store

• Complete the required training and adhere to Starbucks' standards and guidelines
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Q5. Sql extraction of the given table and data
Ans. 
Use SQL query to extract data from a given table
• Use SELECT statement to retrieve data from the table

• Specify the columns you want to retrieve after SELECT

• Use FROM clause to specify the table name

• Add conditions using WHERE clause if needed

• Use ORDER BY clause to sort the results if necessary
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1 good coding question and 33 mcqs

Q1. Easy questions are asked
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Q2. Like create a database of the collages composes of students and professors
Ans. 
Create a database to store information about colleges, students, and professors.
• Create tables for colleges, students, and professors

• Include columns for relevant information such as name, ID, courses, etc.

• Establish relationships between the tables using foreign keys

• Use SQL queries to insert, update, and retrieve data

• Consider normalization to avoid data redundancy
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Q1. Some hr questions
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Q2. Project discussions
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Q1. Hr questions about family
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Q1. SQL problem window function
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Q2. SQL code like join and scenerio
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Q1. Design round for adf pipeline
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Designing an ADF pipeline for data processing
• Identify data sources and destinations

• Define data transformations and processing steps

• Consider scheduling and monitoring requirements

• Utilize ADF activities like Copy Data, Data Flow, and Databricks

• Implement error handling and logging mechanisms
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Q2. Azure synapses and adf adb
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Q1. Expected ctc and current ctc negotiations
Ans. 
Discussing expected and current salary for negotiation purposes.
• Be honest about your current salary and provide a realistic expectation for your desired salary.

• Highlight your skills and experience that justify your desired salary.

• Be open to negotiation and willing to discuss other benefits besides salary.

• Research industry standards and salary ranges for similar positions to support your negotiation.

• Focus on the value y...read more
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Q2. Relocation and remote work until ofc open for Pune location
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Q1. In Angular input and output parameters.
Ans. 
In Angular, input parameters are used to pass data into a component, while output parameters are used to emit events from a component.
• Input parameters are defined using the @Input decorator in Angular.

• Output parameters are defined using the @Output decorator in Angular.

• Input parameters allow parent components to pass data into child components.

• Output parameters allow child components to emit events to parent components...read more
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Q2. Write inner join query using two table
Ans. 
Inner join query is used to retrieve records that have matching values in both tables.
• Use SELECT statement to specify the columns you want to retrieve

• Use INNER JOIN keyword to combine the tables based on a related column

• Specify the ON clause to define the relationship between the tables
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Q1. Fibonacci series code
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Q2. Sql query related question
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Q1. Package discussion expectation and they offer
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Q2. Joining date, and the policies of company
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30 easy aptitude questions.

Q1. Video analysis. Summarize the video in bullet points.
Ans. 
Video analysis involves summarizing the content of a video in bullet points.
• Identify key themes or topics discussed in the video

• Highlight important events or moments

• Note any key statistics or data presented

• Summarize the main conclusions or takeaways

• Include any notable visuals or graphics shown
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Q2. Summarize all the examples you saw in the video.
Ans. 
The video showcased various examples of data analysis and visualization techniques.
• Exploratory data analysis using histograms and scatter plots

• Predictive modeling using regression and classification algorithms

• Time series analysis for forecasting future trends

• Text mining for sentiment analysis

• Clustering techniques for customer segmentation
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Q3. Tell me about yourself
Ans. 
I am a recent graduate with a degree in Computer Science and a passion for data analysis and machine learning.
• Recent graduate with a degree in Computer Science

• Passionate about data analysis and machine learning

• Experience with programming languages like Python and R

• Completed projects involving data visualization and predictive modeling
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Q4. Discussion on projects.
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Q5. What do you know about mu Sigma?
Ans. 
Mu Sigma is a data analytics and decision sciences company that helps organizations make data-driven decisions.
• Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.

• They provide services in areas such as marketing analytics, supply chain analytics, and risk analytics.

• Mu Sigma has worked with Fortune 500 companies across various industries to help them leverage data for better decision-making.

• The compan...read more
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Q6. Why do you want to join Mu Sigma?
Ans. 
I want to join Mu Sigma because of their reputation for providing challenging and impactful data science projects.
• Mu Sigma is known for working on cutting-edge data science projects with top clients

• I am excited about the opportunity to work with a diverse team of data scientists and learn from their expertise

• I believe Mu Sigma's focus on innovation and problem-solving aligns with my own career goals
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Q7. SQL and technical questions based on your projects or tech stack.
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Q8. What challenges you faced during your projects?
Ans. 
I faced challenges in data cleaning, feature engineering, and model optimization during my projects.
• Data cleaning: Dealing with missing values, outliers, and inconsistencies in the data.

• Feature engineering: Creating new features from existing data to improve model performance.

• Model optimization: Tuning hyperparameters and selecting the best algorithm for the problem.

• Example: In a project predicting customer churn, I ha...read more
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