Neudesic Technologies Interview Questions, Process, and Tips

UX Dashboard Redesign Assessment. They asked to redesign the Dashboard to sort the issue of cognitive load and better experience

They asked to show case one of the case study

Q1. Just discussion about one of my previous project, the methodology, problem statement what all the steps are taken to reach the solution
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Q2. They asked about what all the technologies I worked earlier and the industry details.
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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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