Kaya Skin Clinic Center Manager Interview Questions and Answers

Q1. Am working in go Colours
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Q2. Am working company 5year
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Q3. Interesting mama earth
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Q4. My dream mama earth in join
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Q1. Please my contact to
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Q2. My mobile number XXXXX
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Q1. What is laser how it will work
Ans. 
A laser is a device that emits a beam of coherent light through the process of stimulated emission.
• Laser stands for Light Amplification by Stimulated Emission of Radiation.

• Laser light is monochromatic, coherent, and collimated.

• Laser works by stimulating atoms or molecules to emit light at a specific wavelength.

• The emitted light is then amplified and focused into a narrow beam.

• Laser technology is used in various fields ...read more
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Q2. What is prp and how it will work
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Q1. Motivation Why change ur career now Why L’Oréal What have u done in the past in data and analytics Size of team and use cases handled Stakeholders involved Challenges faced What ur looking for now ex...read more
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Q1. Examples of deliveries done
Ans. 
Managed delivery of software projects for various clients in the financial sector
• Led a team to successfully deliver a mobile banking app for a major bank

• Coordinated the implementation of a new trading platform for an investment firm

• Delivered a risk management system for a financial services company
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Q2. Examples of tough situations handled
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Q3. High level data architecture explanation of warehouse and analytics use cases
Ans. 
Data architecture for warehouse and analytics use cases involves structuring data for storage and analysis.
• Data warehouse stores structured data for reporting and analysis

• Analytics use cases involve processing and analyzing data to gain insights

• ETL processes are used to extract, transform, and load data into the warehouse

• Data modeling is crucial for organizing data in the warehouse

• Tools like SQL, BI tools, and data vis
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Q4. Some questions around scrum delivery the ceremonies definition of ready and done theory versus practice difficulties
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Q5. How can I help L’Oréal what challenges I can address self service BI related questions challenged
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Q6. Challenges around data access management
Ans. 
Data access management challenges involve ensuring secure and efficient access to data for authorized users.
• Balancing security with accessibility

• Implementing role-based access controls

• Managing data permissions and restrictions

• Ensuring compliance with data privacy regulations

• Monitoring and auditing data access activities
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Q1. Technical explanation of my previous data platform and tools used in CIcD
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Q2. Similar questions are before
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Q1. Interview was with the global head for data Some basic talk around motivation perso ality what I’m looking for why L’Oréal etc more to judge personality
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Q1. Work profile discussion with HR
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Q1. Market working and distributor management discussion
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Q1. Discussion on projects in detail
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Q2. Easy questions like maximum subarray sum
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Q1. No technical question asked in this round
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Q1. Difference between epic and user story in azure devops
Ans. 
Epic is a large user story that can be broken down into smaller user stories.
• Epics are high-level user stories that are too big to be completed in a single sprint.

• User stories are smaller, more specific tasks that can be completed in a single sprint.

• Epics can be broken down into smaller user stories to make them more manageable.

• In Azure DevOps, epics and user stories can be used to organize and prioritize work in a pro
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Q2. Difference between task and objectives
Ans. 
Tasks are specific actions to be completed while objectives are broader goals to be achieved.
• Tasks are smaller, more specific actions that contribute to achieving an objective.

• Objectives are broader goals that provide direction and purpose to tasks.

• Tasks are measurable and have a clear deadline, while objectives are more abstract and may not have a specific deadline.

• Examples of tasks include writing code, testing softw...read more
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Basic Python and SQL coding round

Questions on Retention and Product

Q1. Final Round with Head
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90 mins, Hackerank, SQL, Python, Data Science

Q1. Based on SQL and Queue
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