Siemens Interview Questions, Process, and Tips for Freshers

Q1. Question from resume
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Q2. Question from your favourite subject
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Q1. Why do you want to join Siemens?
Ans. 
I want to join Siemens because of its reputation for innovation, global presence, and opportunities for career growth.
• Siemens is known for its cutting-edge technology and innovative solutions in the electrical industry.

• I am impressed by Siemens' global presence and the opportunity to work on projects around the world.

• I believe Siemens offers great opportunities for career growth and development in the electrical field.
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Q2. What are your strengths and weaknesses ?
Ans. 
My strengths include problem-solving skills and attention to detail. My weaknesses include public speaking and time management.
• Strengths: problem-solving skills

• Strengths: attention to detail

• Weaknesses: public speaking

• Weaknesses: time management
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2 coding questions based on dp and string

Q1. Oops, dsa and questions on my projects like how will you improve your project
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Q2. Why do you want to join company
Ans. 
I am impressed by the company's innovative projects and collaborative work environment.
• Exciting projects and innovative technologies being used

• Collaborative work environment with opportunities for growth

• Positive company culture and values align with my own

• Strong reputation in the industry
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2 coding questions of medium to hard difficulty. There were some aptitude questions as well.

Q1. Interviewer asked questions about my projects. Then basic machine learning, deep learning questions were asked. The interview ended with an puzzle. I solved it completely.
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The aptitude round required only a passing score, and included basic logical reasoning, verbal ability, and data visualization questions.

Q1. Most of the questions were based on Resume and mostly asked about ML .
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Q2. What is LDA and represent the LDA using diagram ?
Ans. 
LDA stands for Latent Dirichlet Allocation, a topic modeling technique used in natural language processing.
• LDA is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar.

• It is commonly used in text mining to extract topics from a collection of documents.

• LDA assumes that each document is a mixture of a small number of topics...read more
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Q3. How do you implement a machine learning algorithm based on a given case study, and which algorithm do you choose and why?
Ans. 
To implement a machine learning algorithm based on a case study, choose an algorithm based on the type of data and problem to be solved.
• Understand the problem statement and the type of data available.

• Preprocess the data by handling missing values, encoding categorical variables, and scaling features.

• Split the data into training and testing sets.

• Choose an appropriate algorithm based on the problem type (classification, ...read more
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It was a regular test with aptitude, verbal reasoning, logical reasoning and also technical questions.

Q1. They asked about my internship.
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Common aptitude questions are asked in first round

Q1. Self introductionp
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Q2. Project explanation
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