Arik Infotech QA Engineer Interview Questions and Answers

Q1. Spark architecture.
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Q2. Narrow and wide transformations
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Q1. How would you sell a product someone who doesn't want it ?
Ans. 
To sell a product to someone who doesn't want it, focus on understanding their needs and demonstrating value.
• Identify Pain Points: Ask questions to uncover challenges they face. For example, 'What issues do you encounter with your current solution?'

• Highlight Benefits: Clearly articulate how the product addresses their specific needs. For instance, 'This tool can save you 10 hours a week.'

• Use Testimonials: Share success...read more
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Q2. If you have a dead line in one hour and your system crashed what would you do ?
Ans. 
In a crisis, prioritize recovery steps, communicate, and focus on delivering a minimum viable product.
• Assess the situation: Determine the extent of the crash and what data is lost.

• Check backups: If you have recent backups, restore your work from there.

• Communicate: Inform your team or manager about the situation and your plan.

• Focus on essentials: Identify the core features needed to meet the deadline.

• Use alternative too...read more
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Q1. How do you determine which candidate is more suitable for you, especially regarding experience?
Ans. 
Evaluating candidates involves assessing skills, experience, cultural fit, and potential for growth.
• Review technical skills: Check for proficiency in relevant programming languages, frameworks, and tools. For example, a candidate skilled in Python and Django may be preferred for a web development role.

• Assess project experience: Look for candidates who have worked on similar projects or technologies. A candidate with ex...read more
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Q2. What do you hope to gain from this job position, and how do you consider yourself suitable for this role?
Ans. 
I aim to grow my skills and contribute to impactful projects, leveraging my experience in software development.
• I hope to gain hands-on experience with cutting-edge technologies, such as cloud computing and machine learning.

• I want to collaborate with a talented team to enhance my problem-solving skills and learn best practices in software development.

• I believe my background in developing scalable applications aligns wel...read more
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Q1. What were your reasons for leaving your previous job?
Ans. 
I left my previous job to seek new challenges, enhance my skills, and pursue opportunities for growth in a dynamic environment.
• Desire for professional growth: I wanted to expand my skill set and take on more challenging projects.

• Seeking a better work-life balance: My previous role required long hours, and I was looking for a position that offered more flexibility.

• Company culture fit: I realized that the company's value...read more
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Q2. Are you open to working in shifts or rotational hours if required?
Ans. 
Yes, I am open to working in shifts or rotational hours as needed to support team goals and project deadlines.
• Flexibility: I understand that projects may require different hours to meet deadlines.

• Team Collaboration: Working in shifts can enhance collaboration with global teams.

• Past Experience: In my previous role, I successfully adapted to a rotating schedule to support critical system updates.

• Work-Life Balance: I beli...read more
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Q1. What makes you a good fit for this role ?
Ans. 
I possess strong technical skills, a collaborative mindset, and a passion for problem-solving, making me an ideal candidate for this role.
• Proficient in multiple programming languages, including Python and Java, demonstrated by developing a full-stack application for a university project.

• Experience with Agile methodologies, having successfully participated in sprints that improved team productivity by 20%.

• Strong problem...read more
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Q2. Where do you see your self in 5 years with our company ?
Ans. 
In five years, I envision myself as a lead engineer, driving innovative projects and mentoring junior developers within the company.
• I aim to lead a team on impactful projects, such as developing a new feature that enhances user experience.

• I plan to deepen my expertise in emerging technologies, like AI and machine learning, to contribute to cutting-edge solutions.

• I hope to mentor junior engineers, sharing knowledge and ...read more
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Q1. What is the difference between supervised and unsupervised learning
Ans. 
Supervised learning uses labeled data for training, while unsupervised learning identifies patterns in unlabeled data.
• Supervised learning requires labeled datasets, e.g., predicting house prices based on features like size and location.

• Unsupervised learning works with unlabeled data, e.g., clustering customers based on purchasing behavior.

• In supervised learning, the model is trained to minimize error between predicted ...read more
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Q2. Explain a project where you used python for data analysis
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