CORE Scientific Systems Interview Questions and Answers

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Q1. General communication
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Q1. General profile screening, basic information
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Q1. 1. Walk me through your Resume 2. Technical questions related to SQL 3. Behavioural questions
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Q1. Behavioural questions on time management, stress management, 1 puzzle question
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Q1. Questions based on previous work experience and projects
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Q1. SQL questions based on joins and window functions, data visualization, and case study
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Q1. Tell me about yourself?
Ans. 
I am a dedicated and experienced professional with a strong background in management and a passion for driving team success.
• Over 5 years of experience in leadership roles

• Proven track record of improving team performance and achieving targets

• Strong communication and problem-solving skills

• Bachelor's degree in Business Administration from XYZ University

• Previous experience in retail management at ABC Company
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Q2. What was roles and responsibilities in previous company?
Ans. 
In my previous company, I was responsible for overseeing daily operations, managing a team, and ensuring targets were met.
• Managed a team of employees and delegated tasks accordingly

• Oversaw daily operations to ensure smooth functioning

• Set and monitored targets for the team to achieve

• Handled customer complaints and resolved issues efficiently
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Q1. Common technical questions
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Q1. Advance Technical Questions based on your skill set taken by architect
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Common coding problems difficulty laver moderate

Q1. Common managerial question ,scenario base questions
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Q1. What is your weakness?
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Q1. What is the internal implementation of Hashing and what is collision?
Ans. 
Hashing is a technique used to map data to a fixed-size array, collision occurs when two different inputs produce the same hash value.
• Hashing involves using a hash function to map data to a fixed-size array.

• Collision happens when two different inputs produce the same hash value.

• Common techniques to handle collisions include chaining and open addressing.
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Q2. Is time complexity of HashMap always O(1) ?
Ans. 
No, time complexity of HashMap is not always O(1).
• Time complexity of HashMap is O(1) on average, but can degrade to O(n) in worst case scenarios.

• Worst case scenarios include hash collisions, which can lead to linear probing and degrade performance.

• Load factor and capacity of the HashMap can also affect time complexity.

• In scenarios where many keys hash to the same index, the time complexity can degrade.
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Q1. Yet to have the interview. Ambition box is forcefully making me enter these details
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Q1. Tell me about your self
Ans. 
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving and critical thinking skills

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. What are your career goals
Ans. 
My career goal is to become a senior data analyst in a reputable company, where I can utilize my skills to drive data-driven decision-making and contribute to the organization's success.
• Advance to a senior data analyst role

• Contribute to data-driven decision-making

• Work for a reputable company

• Continuous learning and skill development
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Q3. What is your strength and weakness
Ans. 
Strength: Strong analytical skills, Weakness: Overthinking
• Strength: Ability to analyze complex data sets and derive meaningful insights

• Strength: Proficiency in data visualization tools like Tableau and Power BI

• Weakness: Tendency to overthink and spend too much time on minor details

• Weakness: Struggle with delegating tasks and trusting others to complete them
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Q4. Intresting role about company
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Q5. Developing skills
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