Sonata Software Technical Consultant Interview Questions and Answers for Experienced

Q1. Java basics- abstraction, interface, multithreading, garbabge collector etc..
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Q2. Knowledge about design patters, microservices pattern- circuit breaker, distributed training.. etc.
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Q3. Framework like spring boot- basics like autowire, beans, annomations, internal spring working.
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Q1. Interface in golang
Ans. 
Interfaces in Golang define a set of methods that a type must implement.
• Interfaces are a way to specify behavior of an object.

• A type satisfies an interface if it implements all the methods of that interface.

• Interfaces allow for polymorphism in Golang.

• Example: type Writer interface { Write([]byte) (int, error) }

• Example: type MyWriter struct {} func (mw MyWriter) Write(data []byte) (int, error) { return len(data), nil }
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Q1. Coding questions of joy of energy
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Q1. Social media influence
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General computer knowledge test

Program writing in computer basic ideas

Q1. All about financials
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Q2. Relocating possible
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Create a business requirement document

Q1. What are the strengths and weakness
Ans. 
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
• Strengths: strong analytical skills

• Strengths: attention to detail

• Weaknesses: difficulty with public speaking

• Weaknesses: time management
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I don’t remember now

Q1. Speak for 3 minutes about any topic you like. How will you phrase a sentence for a given topic?
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Q1. Are you willing to relocate? Are you comfortable table with rotational shifts?
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Q1. What is Supervised machine learning? Which algorithm you think you can explain brilliantly? Why we use random forest then normal decision tree
Ans. 
Supervised machine learning is a type of ML where the algorithm learns from labeled data. Random forest is used over normal decision tree for better accuracy and to avoid overfitting.
• Supervised ML learns from labeled data to make predictions on new data

• Random forest is an ensemble learning method that uses multiple decision trees to improve accuracy

• Random forest is preferred over normal decision tree to avoid overfitti...read more
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Q2. Example of case study
Ans. 
Case study on a successful marketing campaign for a new product launch
• Identified target audience and their needs

• Developed a unique selling proposition

• Created a multi-channel marketing plan

• Implemented the plan and tracked results

• Adjusted strategy based on data analysis

• Achieved high sales and positive customer feedback
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Retail case study , company trends salw.. Total sale. Profit charts and reports