RCS Analyst Interview Questions and Answers

Good thinking about it was just thinking of you guys are doing well done💯 with our relationship between us and our house🏠 is it possible for me to be on your face time⌚

Myself I don't know what you think about how much we can help with your friends with me for more than just don't know what you think about how much you want to see

Q1. Good thinking about how to make sure you have been trying my best friend
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Q2. Good thinking about how much they were you can get a new job at me and you have been trying my best friend
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The exam was lengthy

Data analytics trends

Q1. Tmay, data analytics projects and questions
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Q1. Describe Yourself in Next five years
Ans. 
In the next five years, I see myself growing as an IT Analyst and taking on more challenging projects.
• Continuing to enhance my technical skills and knowledge

• Taking on leadership roles and managing a team

• Contributing to the development and implementation of innovative IT solutions

• Building strong relationships with clients and stakeholders

• Staying updated with the latest industry trends and advancements
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Q1. Network Architect for Next year
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The network architect for next year should focus on implementing new technologies and improving network security.
• Research and implement new technologies such as 5G and SD-WAN

• Improve network security by implementing firewalls and intrusion detection systems

• Ensure network scalability to accommodate future growth

• Collaborate with other IT teams to ensure network integration with other systems

• Regularly review and update net
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Population is my topic, its too easy

Future india is my topic

If everyone is cheating you should also do it?

Q1. Everyhting about project..
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Q2. Linear vs logistic regression
Ans. 
Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.
• Linear regression is used to predict a continuous outcome based on one or more input variables.

• Logistic regression is used to predict the probability of a binary outcome based on one or more input variables.

• Linear regression assumes a linear relationship between the independent and dependent variables, while logist...read more
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Q3. Normalization in dbms
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Normalization in DBMS is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Normalization involves breaking down data into smaller, more manageable tables and establishing relationships between them.

• It helps in reducing data redundancy, minimizing data anomalies, and improving data consistency.

• There are different normal forms such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with spec...read more
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Q4. List array difference etc
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Array difference is finding the elements that are present in one array but not in another.
• Use set operations like difference to find elements in one array but not in another.

• Example: arr1 = ['a', 'b', 'c'], arr2 = ['b', 'c', 'd'], arr_diff = set(arr1) - set(arr2) = ['a']
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