Crest Interview Questions and Answers

Basic quant and reasoning questions
Selenium MCQ
Java programs with MCQ

Q1. Tell me about yourself
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Q2. Where you initialise driver
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Q3. Driver is static or non static
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Q4. Difference between static and non static
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Q5. Disadvantages of static and non static
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Q6. Parallel execution in TestNG
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Q7. Write the code for Parallel testing in TestNG
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Q8. Difference between parallel methods and parallel tests
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Q9. Upload file using rest assured
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Q10. Postman basic questions
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Q11. Parameter for post method in postman
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Q12. BDD Framework cucumber
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Q13. Cucumber execution process
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Q14. How cucumber know step defination file placed
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Q15. Parameters used in cucumber
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Q16. Datatable in cucumber
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Q17. Have u created the testplan document when porject was started
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Q18. Testing cycle when project was on initial level
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Q19. Risk management and risk based testing
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Q20. Which estimate technique you follow , if fibonacci then why it is in 1 2 3 5 8 13 ?? Not in 12345678
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Q21. What is testing matrix and automation ROI
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Q22. Cicd tool
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Q23. Handle team ?
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Q1. Tell me about yourself.?
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They did not take the aptitude test because they had already hired individuals at the beginning.

Q1. Stroke and dibatetes
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Q1. It didnot happen for the last few candidates .
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Process planning refers to the methodical approach of determining the best possible way to manufacture a product or deliver a service by considering various aspects such as resources, timelines, and methodologies involved in production or execution.

Q1. Explain about previous process
Ans. 
Implemented a new chemical process to increase efficiency and reduce waste.
• Researched and analyzed current process to identify areas for improvement

• Designed and tested new process using simulation software

• Collaborated with production team to implement changes and monitor results

• Achieved 20% increase in production output and 15% reduction in waste

• Continuously monitored and optimized process for further improvements
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Q2. Explain about my work experience
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Q3. Explain about my work standard
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Q4. Explain about my managing method
Ans. 
I utilize a combination of project management tools and communication strategies to effectively manage my team and projects.
• I prioritize tasks based on deadlines and importance

• I regularly communicate with team members to ensure everyone is on the same page

• I use project management software such as Trello or Asana to track progress and assign tasks

• I adapt my management style to fit the needs and preferences of individual
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Q5. Explain about my working style
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Q1. What are the key topics related to Generative AI, specifically focusing on Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)?
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Q2. What is your understanding of the existing project and the technology stacks used?
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Q1. What has been your contribution to existing work and the technologies used in that context?
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Q2. ML, DL, Gen AI implementation and flow
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Q3. Python Coding logic and semantics
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Q1. What are the existing work challenges you face, and what solutions have you implemented to address them?
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Q2. What is your understanding of Generative AI and Natural Language Processing (NLP), and can you provide examples of their use cases?
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Difference between soft skills and hard skills

Q1. What is manual testing
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Q2. What is defect life cycleif
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Q1. What is the main thing should have for a test engineer
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Q2. What's your opinion on testing
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Q1. Are you ok with rotational shifts?
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Q2. Are you ok with the work location?
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Q1. What is polymorphism,generator,decorator? List vs tuple?
Ans. 
Polymorphism allows objects of different classes to be treated as objects of a common superclass. Generators produce items one at a time. Decorators add functionality to existing functions or methods.
• Polymorphism: Enables objects of different classes to be treated as objects of a common superclass. Example: Animal superclass with Dog and Cat subclasses.

• Generator: Produces items one at a time, allowing for efficient mem...read more
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Q2. TFIDF, BOW What is embedding why important how to craete embeddings?
Ans. 
Embeddings are a way to represent words or phrases as vectors in a high-dimensional space, capturing semantic relationships.
• Embeddings are important for tasks like natural language processing, where words need to be represented in a meaningful way.

• They can be created using techniques like Word2Vec, GloVe, or using neural networks like Word Embeddings.

• Embeddings help in capturing semantic relationships between words, al...read more
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Q3. What is Encoder decoder explain with example?
Ans. 
Encoder-decoder is a neural network architecture used for tasks like machine translation.
• Encoder processes input data and generates a fixed-length representation

• Decoder uses the representation to generate output sequence

• Example: Seq2Seq model for translating English to French
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Q4. What is stop word? We need to remove in every application or not tell me example when stop words are importan?
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