KiwiTech Associate Interview Questions and Answers

Q1. Basic question on dot net and sql server
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Q1. Bit twisted and elaborative discussion on various technical spheres.
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Normal coding test..not much dsa

Q1. Language fundamentals
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Q1. Managerial round
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Screen sharing with code testing

Intro and some code test

.net and details information of pervious company

Q1. Salary discussion
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Q1. Spark optimization techniques
Ans. 
Spark optimization techniques enhance performance and resource utilization in distributed data processing applications.
• Data Serialization: Use efficient serialization formats like Kryo instead of Java serialization to reduce memory usage and improve performance.

• Broadcast Variables: Use broadcast variables to efficiently share large read-only data across all nodes, reducing data transfer costs.

• Partitioning: Optimize dat...read more
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Q2. Copy activity in adf
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Copy activity in Azure Data Factory (ADF) enables data movement and transformation between various data sources and destinations.
• Data Movement: Copy activity allows you to move data from one location to another, such as from Azure Blob Storage to Azure SQL Database.

• Data Transformation: You can transform data during the copy process using mapping data flows or by applying transformations in the source or sink.

• Integratio...read more
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Q3. Medium level sql questions
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It was a 30 minutes round questions on Python, SQL, Pyspark - scenario based question to write the code.

Q1. Here you will be asked few theoretical question like defination, where to use, what is the advantage etc. - Focused on Azure (ADF,ADLS,Synapse), SQL, Pyspark,python
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Q2. SQL Optimization
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Q3. Dynamic file ingestion in ADF
Ans. 
Dynamic file ingestion in ADF involves using parameters to dynamically load files into Azure Data Factory.
• Use parameters to specify the file path and name dynamically

• Utilize expressions to dynamically generate file paths

• Implement dynamic mapping data flows to handle different file structures
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Q4. Agregation in databricks
Ans. 
Aggregation in Databricks refers to the process of combining and summarizing data in a Spark environment.
• Aggregation functions like sum, count, avg, min, max can be used in Databricks to summarize data.

• Grouping data based on certain columns and then applying aggregation functions is a common practice.

• Aggregation can be performed on large datasets efficiently using Databricks' distributed computing capabilities.
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Q1. It would be basic HR round to understand your expectation and expertise.
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Q1. Synthetic events in react
Ans. 
Synthetic events in React are custom events created by developers to handle specific interactions.
• Synthetic events are created using the SyntheticEvent object provided by React.

• Developers can use synthetic events to handle user interactions like clicks, key presses, etc.

• Synthetic events have the same interface as native browser events but are normalized across different browsers.
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Q2. How do you create forms in react?
Ans. 
Forms in React can be created using controlled components, state management, and event handling.
• Use controlled components to manage form data through state

• Handle form submission using event handlers like onSubmit

• Utilize form elements like input, textarea, and select to collect user input
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Create a simple react web app using npm

Q1. Why do you want to work with us?
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Q2. Where do you see yourselves in next 5 years
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3 SQL questions of basic, intermediate and advance level respectively.

Q1. Technical Questions related to past work
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Q1. Salary negotiation and offer.
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