Synechron Senior Data Analyst Interview Questions and Answers

Q1. DAX Related Syntax and Codes
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Q2. Data Modelling, SQL, Python
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Q1. No Response from HR after calling of selection after Round 1
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Q1. How to do model inference?
Ans. 
Model inference is the process of using a trained machine learning model to make predictions on new data.
• Load the trained model

• Preprocess the new data in the same way as the training data

• Feed the preprocessed data into the model to make predictions

• Interpret the model's output to make decisions or take actions
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Q2. How to optimize spark query?
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Optimizing Spark queries involves tuning configurations, partitioning data, using appropriate data formats, and caching intermediate results.
• Tune Spark configurations for memory, cores, and parallelism

• Partition data to distribute workload evenly

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

• Cache intermediate results to avoid recomputation
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Q1. Have you used GEN AI?
Ans. 
No, I have not used GEN AI in my work as a Data Scientist.
• I have not used GEN AI in any of my projects or analyses.

• I am not familiar with GEN AI and its capabilities.

• I have not had the opportunity to work with GEN AI in any capacity.
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Q2. How do you take your solution to production?
Ans. 
I take my solution to production by following a structured process involving testing, deployment, monitoring, and maintenance.
• Develop a robust testing strategy to ensure the solution performs as expected in a production environment

• Use continuous integration and continuous deployment (CI/CD) pipelines to automate the deployment process

• Implement monitoring tools to track the performance of the solution in real-time and a...read more
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Asked the question about ml and basic python questions

Q1. Interesting facts about ourselves
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Q2. Introduced about ourselves
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Assignments using LLM usecase

Q1. Questions about assignments and ML topics
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First round is Dax,2 nd is SQL queries,3 is python

Q1. Self introduction
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Q2. Previous job experiences
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