Sigma Electric Manufacturing Corporation QA Inspector Interview Questions and Answers

Problem.solving,design ,concept,product development

Logical resining test

Q1. Personal information
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Q2. Any questions ......
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Q1. Most Questions were about the current work profile.
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Q1. Questions The Job Profile, Personal details, Job and Salary Expectations etc
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Q1. Tell me about your self
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Technical case study was asked to share during preliminary round of interview

Q1. Interview covered good amount of technical experience, knowledge and skill set
Ans. To the point answering helps, interviewing persons were good at what they want to specific questions.
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Q2. Reason for seeking new job role
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Seeking new job role for career growth and professional development.
• Looking for new challenges and opportunities to expand my skills and knowledge.

• Want to work in a more dynamic and innovative environment.

• Seeking a role with more responsibility and leadership opportunities.

• Interested in exploring new technologies and methodologies.

• Desire to work with a diverse team and learn from experienced professionals.
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Q3. Interviewer wanted to know my intended reason to opt for the job change
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Q4. Convincing answer to this was frankly the company itself plus the role demanded experienced and competent person, i could able to convince my point.
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Q1. Approach for battery testing
Ans. 
Battery testing involves evaluating the performance and durability of batteries through various tests.
• Identify the specific requirements for the battery being tested (e.g. capacity, voltage, cycle life)

• Design test protocols and procedures to simulate real-world usage conditions

• Utilize specialized equipment such as battery cyclers, impedance analyzers, and environmental chambers

• Monitor and analyze key performance indica...read more
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Q2. Approach for data analysis
Ans. 
Utilize statistical methods and tools to analyze data for patterns and insights.
• Collect and clean data from various sources

• Use statistical techniques like regression analysis, hypothesis testing, and clustering

• Visualize data using tools like Tableau or Power BI

• Interpret results and draw conclusions

• Iterate on analysis based on feedback and new data
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