Simplilearn Sdet-I Interview Questions and Answers

Q1. What's your experience?
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Q2. Don't you have Data Science experience?
Ans. 
No, I don't have direct Data Science experience.
• However, I have worked with data extensively in my previous roles as a Data Analyst.

• I have experience in data cleaning, data visualization, and statistical analysis.

• I am also familiar with programming languages such as Python and R, which are commonly used in Data Science.

• I am willing to learn and expand my skills in Data Science if given the opportunity.
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Average question where asked

Normal sql based assignment was there

Q1. Normal question where asked to me
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Question was moderate.based on logical reasoning and math.

Coding test question based on sql and python.

Q1. Basic Skillset questions
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Q2. Projects worked on
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Q1. Knowledge on Marketing tools and case scenarios
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Q1. SQl Queries, Previous projects
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Q1. Typing and speed
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Q1. HOW to sell pen
Ans. 
To sell a pen, highlight its features, demonstrate its quality, create a need for it, and offer a competitive price.
• Highlight the unique features of the pen, such as smooth writing, ergonomic design, or special ink technology.

• Demonstrate the quality of the pen by allowing the customer to test it out or showing testimonials from satisfied customers.

• Create a need for the pen by explaining how it can improve the customer'...read more
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Q2. How to do loan
Ans. 
To apply for a loan, one must meet the eligibility criteria, submit required documents, and agree to the terms and conditions.
• Check eligibility criteria such as credit score, income, and employment status

• Gather necessary documents like ID proof, address proof, income proof

• Fill out the loan application form accurately

• Agree to the terms and conditions set by the lender

• Wait for approval or rejection of the loan applicatio
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Q1. Define python and use
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for data analysis due to its extensive libraries like Pandas and NumPy.

• It is used for data cleaning, manipulation, visualization, and statistical analysis.

• Python can be used to create machine learning models for predictive analytics.

• Python scripts can automate repetitive tasks in data analysis workflows.
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Q2. Define sql an use
Ans. 
SQL is a programming language used for managing and manipulating relational databases.
• SQL stands for Structured Query Language

• Used to retrieve, insert, update, and delete data in databases

• Commonly used commands include SELECT, INSERT, UPDATE, DELETE

• Can be used to create tables, views, and stored procedures
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Q3. Define how to extract data
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Extracting data involves retrieving information from various sources and transforming it into a usable format.
• Identify the sources of data such as databases, APIs, files, or websites

• Use tools like SQL queries, Python scripts, or data extraction software to retrieve the data

• Clean and transform the data to remove inconsistencies and prepare it for analysis

• Load the extracted data into a data warehouse or analytical tool f
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