Royal Cyber Quality Analyst Interview Questions and Answers

Q1. Introduce yourself and explain your carrier
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Q2. B. Tech with 11 years of experience on Linux Administration/Devops/Ansible/Puppet/Cloud administration/ AWS/Openstack
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Very simple and can clear easily

Q1. I was looking job as a fresher and the interview questions were mostly on academic project, team handling and some personal questions.
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Q2. What is your role in project?
Ans. 
As a Quality Analyst, my role in the project is to ensure that the software meets the required quality standards.
• Conducting quality assurance activities to identify and resolve defects

• Creating and executing test cases to validate software functionality

• Collaborating with developers and stakeholders to understand project requirements

• Performing regression testing to ensure previous functionality is not affected

• Documenting...read more
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Q3. Are there any disputes while working in team and how you handled it?
Ans. 
Yes
• Yes, there have been disputes while working in a team.

• I handled disputes by actively listening to all parties involved and understanding their perspectives.

• I encouraged open communication and facilitated discussions to find common ground and resolve conflicts.

• I promoted a collaborative environment where everyone's opinions were valued and respected.

• For example, in a project where there was a disagreement about the p...read more
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Q1. Field relatimed questions SAP wms
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Q1. Field related questions
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Q1. Based on previous projects
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Q1. Interview based on your programming language , how good you know like java or python or scala
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Q2. Big data & Data science interview question like working of spark , Hive optimization of queries , what is graphx
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Q3. Explain your recent project in detail
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Q1. More deep dive in your expertise technologies like Spark DAG working explain
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Q2. How you do data validation in hive
Ans. 
Data validation in Hive involves using built-in functions and custom scripts to ensure data accuracy and consistency.
• Use built-in functions like IS NULL, IS NOT NULL, and COALESCE to check for missing or null values

• Use regular expressions and pattern matching to validate data formats

• Write custom scripts to perform more complex data validation tasks

• Perform data profiling to identify potential data quality issues

• Use data...read more
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Q1. Salary , why changing job etc..
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Q2. Your complete background of career
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Sql question more and related to database