IDC Technologies Scrum Master Interview Questions and Answers for Experienced

Technical Discussion

Technical Discussion with Coding Test

Q1. Previous Job Details
Ans. 
I worked as a project manager at a consulting firm, leading teams to deliver strategic solutions for clients across various industries.
• Managed a team of 10 consultants to deliver a market entry strategy for a tech startup.

• Conducted data analysis to identify key trends, resulting in a 20% increase in client revenue.

• Facilitated workshops with clients to align project goals and expectations, enhancing client satisfaction.

• ...read more
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Q2. Salary discussion
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Q1. Tell me about yourself
Ans. 
Experienced Scrum Master with a background in software development and a passion for facilitating team collaboration and continuous improvement.
• Over 5 years of experience as a Scrum Master in various industries

• Strong understanding of Agile principles and practices

• Facilitated successful delivery of multiple software projects

• Skilled in coaching teams to improve their Agile practices

• Passionate about fostering a culture of
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It was related to a Food & Beverage Industry Data

Q1. Scrum methodology
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Q1. Situation based questions based on my SM profile
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Q1. Salary discussion with LWD
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I don’t remember now

Q1. Speak for 3 minutes about any topic you like. How will you phrase a sentence for a given topic?
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Q1. Are you willing to relocate? Are you comfortable table with rotational shifts?
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Q1. What is Supervised machine learning? Which algorithm you think you can explain brilliantly? Why we use random forest then normal decision tree
Ans. 
Supervised machine learning is a type of ML where the algorithm learns from labeled data. Random forest is used over normal decision tree for better accuracy and to avoid overfitting.
• Supervised ML learns from labeled data to make predictions on new data

• Random forest is an ensemble learning method that uses multiple decision trees to improve accuracy

• Random forest is preferred over normal decision tree to avoid overfitti...read more
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Q2. Example of case study
Ans. 
Case study on a successful marketing campaign for a new product launch
• Identified target audience and their needs

• Developed a unique selling proposition

• Created a multi-channel marketing plan

• Implemented the plan and tracked results

• Adjusted strategy based on data analysis

• Achieved high sales and positive customer feedback
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Retail case study , company trends salw.. Total sale. Profit charts and reports

Q1. All about financials
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Q2. Relocating possible
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