R Systems International Big Data Engineer Interview Questions and Answers

Q1. Basicn details to check for qualifications
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Q1. About my projects
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Q1. More details about ML models
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Q1. What is precison ?
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Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.
• Precision is calculated as TP / (TP + FP), where TP is true positives and FP is false positives.

• It measures the accuracy of positive predictions made by the model.

• A high precision indicates that the model is good at predicting positive cases without many false positives.

• For example, in a binary classificatio...read more
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Q2. What is large lang. model ?
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A large language model is a type of artificial intelligence model that is capable of understanding and generating human language at a large scale.
• Large language models use deep learning techniques to process and generate text.

• Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
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Q1. Cache vs persist
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Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.
• Cache is typically faster as it stores data in memory for quick access.

• Persist saves data to disk for durability and long-term storage.

• Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.

• Examples: Using cache for ...read more
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Q2. Broadcast join and other optimization techniques
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Q1. Sql window function
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Q2. Spark architecture, dataframe vs rdd
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Q3. Python reverse sentence
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Reverse a sentence using Python
• Split the sentence into words using split() method

• Reverse the list of words using list slicing

• Join the reversed list of words back into a sentence using join() method
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Q4. Join based on nulls in sql
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Q1. Tell me about your self?
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Q2. What technology & tools u know ? And basic questions regarding that topics ?
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Q1. Job culture and job responsibilities ?
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Q2. Some questions on an analytical tools like power BI ?
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Q1. Stored procedure sql hard
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Q2. Easy dsa problem solving
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Q1. Asked about some machine learning concepts like NLP, TensorFlow etc
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Q1. What are your roles and responsibilities
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As a Data Analyst, my roles and responsibilities include analyzing data, creating reports, identifying trends, and providing insights to support decision-making.
• Analyzing large datasets to extract meaningful insights

• Creating reports and visualizations to communicate findings

• Identifying trends and patterns in data

• Collaborating with stakeholders to understand business needs

• Providing recommendations based on data analysis

• ...read more
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Q2. Where do you see yourself in next 4 years.
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In the next 4 years, I see myself advancing my skills in data analysis, taking on more responsibilities, and potentially moving into a leadership role.
• Continuing to improve my data analysis skills through training and hands-on experience

• Taking on more complex projects and responsibilities within the data analysis field

• Possibly transitioning into a leadership role where I can mentor and guide junior analysts

• Exploring op...read more
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Q1. Tell me about yourself
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I am a data analyst with a background in statistics and programming, passionate about uncovering insights from data.
• Background in statistics and programming

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

• Strong problem-solving skills

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. How mamy year of experience do you have?
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I have 5 years of experience working as a Data Analyst in various industries.
• 5 years of experience as a Data Analyst

• Worked in multiple industries such as finance, healthcare, and technology

• Proficient in data analysis tools and techniques

• Experience in handling large datasets and generating insights

• Strong problem-solving and communication skills
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Q1. How to improve database performance
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Database performance can be improved by optimizing queries, indexing, regular maintenance, and hardware upgrades.
• Optimize queries by using proper indexing and avoiding unnecessary joins

• Regularly maintain the database by cleaning up old data and running performance tuning scripts

• Consider hardware upgrades such as adding more memory or faster storage devices

• Monitor database performance using tools like SQL Profiler or Pe
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Q2. How to handle a bug in database
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To handle a bug in a database, identify the root cause, develop a fix, test the fix, and implement it carefully.
• Identify the root cause of the bug by analyzing error messages, logs, and user reports.

• Develop a fix for the bug by writing SQL queries or scripts to correct the data.

• Test the fix in a controlled environment to ensure it resolves the issue without causing any new problems.

• Implement the fix carefully in the pr...read more
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Q1. Where you see yourself in next 5 years
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Q2. How to handle crisis situation?
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In a crisis situation, it is important to stay calm, assess the situation, communicate effectively, and take decisive action.
• Stay calm and composed to think clearly and make rational decisions

• Assess the situation by gathering all relevant information and understanding the scope of the crisis

• Communicate effectively with team members, stakeholders, and authorities to coordinate response efforts

• Take decisive action to add...read more
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