Neudesic Technologies Interview Questions, Process, and Tips

Q1. General questions on Azure, Terraform, Kubernetes
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Q1. In depth questions on Terraform and Kubernetes
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Q1. Around project management, agile process
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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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For AZURE data engineers,
3 ADF related questions import data in blob to sql using copy data activity
Load all files in sql server - use wildcard

Q1. Explain your project Depends upon that interviewer start the questions mainly azure data engineering concepts
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Q1. Technical 2 Little advanced round Normally asked the scenario based question
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Q2. How to Load 1 million records and less time ADF pipeline optimisations
Ans. 
Optimize ADF pipeline to load 1 million records faster
• Use parallel execution to load data in chunks

• Leverage partitioning to distribute data processing

• Optimize data flow by eliminating unnecessary transformations

• Use efficient data sources and destinations

• Consider using Azure Data Factory Data Flow for better performance
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Q1. General HR questions
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VM is given and you have 45 min to code the entire code
Please read upon the repository pattern and learn to implement it by heart .
please read upon how to convert decimal to double in .net

Q1. Dapr microservice architecture , Communication and transaction rollback between microservices chereographic saga pattern,api versioning in microservices, dev ops process deployment to kubernetes
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Q2. Scrum methodology, how do we handle a team
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Web api test on remote desktop

Q1. Questions related to technical skills you have mentioned
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Q1. Advance technical questions
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CRUD operations using the WebAPI

Q1. How you will deploy application to Azure if you have created Azure function using visual studio ?
Ans. 
Deploying Azure function created in Visual Studio to Azure.
• Publish the function from Visual Studio to Azure portal.

• Create a new function app in Azure portal.

• Configure the function app settings and connection strings.

• Deploy the function code to the function app.

• Test the function in Azure portal.
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Q2. What are the varios fields available in the Azure functions deployment using visual studio ?
Ans. 
Azure functions deployment fields in Visual Studio
• Function name

• Trigger type

• Input and output bindings

• Environment variables

• Application settings

• Connection strings
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