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10+ NeoSOFT Interview Questions and Answers

Updated 6 Sep 2024

Q1. what are some of the join algorithm used when sql server join table ?

Ans.

Various join algorithms used in SQL Server include Nested Loop Join, Merge Join, and Hash Join.

  • Nested Loop Join: Used when joining small tables or when there is an index on the join columns.

  • Merge Join: Used when joining two sorted datasets, typically faster than Nested Loop Join.

  • Hash Join: Used when joining large datasets, involves hashing the join columns for efficient matching.

  • Example: SELECT * FROM Table1 INNER JOIN Table2 ON Table1.ID = Table2.ID

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Q2. How would you determine APIs to use in the application

Ans.

Research industry standards, functionality needed, security requirements, and compatibility with existing systems.

  • Research industry standards to ensure compliance

  • Identify required functionality and features

  • Consider security requirements and protocols

  • Check compatibility with existing systems

  • Evaluate documentation and support provided by API providers

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Q3. what is data-warehousing

Ans.

Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.

  • Data warehousing involves extracting data from multiple sources

  • Data is then transformed and loaded into a central repository

  • The data can be queried and analyzed for business intelligence purposes

  • Examples of data warehousing tools include Oracle Exadata, IBM Netezza, and Microsoft SQL Server

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Q4. What is the structure to write User Stories?

Ans.

User Stories follow a structured format to capture requirements in Agile development.

  • Start with a simple, clear statement of the feature

  • Include the user role, action, and benefit

  • Use the format: As a [user role], I want [action], so that [benefit]

  • Break down large stories into smaller, manageable ones

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Q5. Look at the ER diagram and explain the flow of the architecture of this application

Ans.

The ER diagram shows the relationships between entities in the application's database.

  • The ER diagram displays entities as boxes and relationships as lines connecting them

  • Entities represent real-world objects like customers, products, or orders

  • Relationships show how entities are connected, such as one-to-one, one-to-many, or many-to-many

  • Attributes within entities describe the characteristics of the entity, like name, ID, or date

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Q6. Different types of joins, how to handle duplicates in SQL, excel

Ans.

Different types of joins in SQL include inner join, outer join, left join, and right join. Handling duplicates can be done using DISTINCT keyword or GROUP BY clause.

  • Types of joins in SQL: inner join, outer join, left join, right join

  • Handling duplicates in SQL: use DISTINCT keyword or GROUP BY clause

  • Handling duplicates in Excel: use Remove Duplicates feature

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Q7. what is live lock ?

Ans.

A livelock is a situation where two or more processes continuously change their states in response to each other without making any progress.

  • Occurs when two or more processes are each waiting for the other to release a resource, preventing any progress

  • Similar to a deadlock, but the processes are not blocked - they are simply unable to make progress

  • Common in distributed systems where processes communicate over a network

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Q8. Give a high level DFD of the provided UI

Ans.

A high level DFD of the provided UI

  • Start with the user interacting with the UI

  • Show how data is inputted and processed

  • Include any external systems or databases that are accessed

  • Display the output or results generated by the UI

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Q9. Difference betweenunion and union all

Ans.

Union combines and removes duplicates, Union All combines all rows including duplicates.

  • Union combines the result sets of two or more SELECT statements and removes duplicates

  • Union All combines the result sets of two or more SELECT statements including duplicates

  • Union is slower than Union All as it involves removing duplicates

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Q10. Window function in sql

Ans.

Window functions in SQL are used to perform calculations across a set of table rows related to the current row.

  • Window functions are used to calculate values based on a specific subset of rows within a result set.

  • They do not cause rows to become grouped into a single output row like aggregate functions.

  • Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().

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