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NTV Telugu Interview Questions and Answers
Q1. What are the different types of data structures available?
Different types of data structures include arrays, linked lists, stacks, queues, trees, and graphs.
Arrays: store elements of the same data type in contiguous memory locations
Linked lists: elements are stored in nodes with pointers to the next node
Stacks: last in, first out data structure
Queues: first in, first out data structure
Trees: hierarchical data structure with a root node and child nodes
Graphs: nodes connected by edges to represent relationships
Q2. How do you gain experience in data analysis?
Gain experience in data analysis through education, internships, projects, and continuous learning.
Pursue a degree in a related field such as statistics, mathematics, or computer science.
Participate in internships or co-op programs to gain hands-on experience.
Work on data analysis projects independently or as part of a team.
Take online courses or attend workshops to learn new tools and techniques.
Join data analysis communities or forums to network and learn from others.
Contin...read more
Q3. What is your experience in data analysis? 3 years experience
I have 3 years of experience in data analysis.
Utilized various statistical tools and software for data analysis
Performed data cleaning, transformation, and visualization
Developed predictive models and conducted trend analysis
Worked on projects involving large datasets from diverse sources
Q4. What do you know about E - commerce
E-commerce refers to buying and selling goods or services online.
E-commerce involves online transactions between businesses and consumers.
Common examples include Amazon, eBay, and Alibaba.
It allows for convenient shopping, comparison of products, and secure payment methods.
E-commerce platforms often use data analytics to personalize user experiences and improve sales.
Mobile commerce (m-commerce) is a growing trend in e-commerce, with transactions conducted via mobile devices.
Q5. What is coustomer service
Customer service is the provision of assistance and support to customers before, during, and after a purchase.
It involves addressing customer inquiries and complaints
Providing information about products or services
Resolving issues and ensuring customer satisfaction
Examples include phone support, email support, live chat, and in-person assistance
Q6. What is a data structure?
A data structure is a way of organizing and storing data in a computer so that it can be accessed and modified efficiently.
Data structures define the way data is organized and stored in memory.
Examples include arrays, linked lists, stacks, queues, trees, and graphs.
Different data structures are used for different purposes, such as optimizing search or insertion operations.
Q7. Find nth maximum salary from table
Use SQL query with ORDER BY and LIMIT to find nth maximum salary from table.
Use SQL query like SELECT salary FROM table_name ORDER BY salary DESC LIMIT n-1, 1 to find nth maximum salary.
Replace table_name with actual table name and n with the desired nth value.
For example, SELECT salary FROM employees ORDER BY salary DESC LIMIT 2, 1 will give you the 2nd maximum salary.
Q8. What is algorithm
An algorithm is a set of instructions designed to perform a specific task or solve a particular problem.
An algorithm is a step-by-step procedure for solving a problem or accomplishing a task.
It can be represented using flowcharts, pseudocode, or programming languages.
Algorithms are used in various fields such as computer science, mathematics, and engineering.
Examples include sorting algorithms like bubble sort, searching algorithms like binary search, and machine learning alg...read more
Q9. Difference between List and tuple
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot
List uses square brackets [], tuple uses parentheses ()
List is used for collections of items that may change, tuple for fixed collections
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