Cisco Data Analyst Interview Questions and Answers

The aptitude test comprised both coding as well as aptitude questions but most of them were purely aptitude based.

Q1. What is machine learning in layman's language?
Ans. 
Machine learning is teaching computers to learn and improve from experience without being explicitly programmed.
• Machine learning is a subset of artificial intelligence.

• It involves training algorithms to recognize patterns in data.

• The algorithms then use these patterns to make predictions or decisions.

• Examples include image recognition, speech recognition, and recommendation systems.

• Machine learning requires large amoun...read more
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Q2. What is the research methodology?
Ans. 
Research methodology is a systematic approach to conducting research, including the collection and analysis of data.
• Research methodology involves identifying a research problem, developing a research plan, collecting data, analyzing data, and drawing conclusions.

• There are different types of research methodologies, including qualitative, quantitative, and mixed methods.

• Qualitative research involves collecting non-numeri...read more
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Q3. What is the difference between Machine Learning , Artificial Intelligence and Statistics?
Ans. 
Machine learning is a subset of AI that uses statistical techniques to enable machines to learn from data and improve performance.
• Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider smart.

• Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.

• Machine learning is a subset of AI that uses statistical ...read more
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Q1. In this Managerial round , resume-based questions were asked.
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Q1. Salary negotiation was carried out
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Q1. Work Experience
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Q1. Project specific
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Q1. How did I handle difficult situations
Ans. 
I handle difficult situations by staying calm, analyzing the problem, and finding a solution.
• Remain calm and composed under pressure

• Identify the root cause of the problem

• Collaborate with team members to brainstorm solutions

• Communicate effectively with stakeholders to address concerns

• Implement a plan of action to resolve the issue
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