Sky Industries Data Analyst Interview Questions and Answers

Q1. What is your name?
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Q2. What is your skill?
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Q1. Man power handle
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Q2. How to work in sap
Ans. 
Working in SAP involves entering and managing data in the SAP system.
• Understand the SAP system and its modules

• Enter data accurately and efficiently

• Manage and update data as needed

• Use SAP transactions and reports to retrieve information

• Follow company guidelines and procedures for data entry in SAP
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Q1. SQL basics and coding questions
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Q1. Data Science mathematical concepts
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Q1. Why do you want to join
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Case study is shared two days before the interview process

Q1. General spark optimization techniques
Ans. 
Spark optimization techniques improve performance and efficiency of data processing.
• Partitioning data to distribute workload evenly

• Caching frequently accessed data to avoid recomputation

• Using appropriate data formats like Parquet for efficient storage and retrieval

• Optimizing shuffle operations by tuning parameters like shuffle partitions

• Avoiding unnecessary data shuffling by using broadcast joins
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Q1. What is supervised learning
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Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
• Uses labeled training data to learn the mapping between input and output variables

• The model is trained on a dataset where the correct output is known

• Examples include classification and regression tasks
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Q2. What is overfitting
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Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor generalization on new, unseen data.

• Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

• Example: A decision tree with too many branches that perfectly fits the training d
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