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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.
Integ...
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
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.
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
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: Optimiz...
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.
I applied via Referral and was interviewed in Jan 2024. There were 3 interview rounds.
3 SQL questions of basic, intermediate and advance level respectively.
I applied via Referral and was interviewed before Dec 2023. There were 3 interview rounds.
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.
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
Create a simple react web app using npm
I appeared for an interview before Feb 2024.
Normal coding test..not much dsa
I appeared for an interview before May 2024, where I was asked the following questions.
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...
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...
I appeared for an interview before Mar 2024.
Screen sharing with code testing
Intro and some code test
.net and details information of pervious company
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
Asked to write Selenium code to launch flipkart and handle the popup that shows up and asked to write code to reverse an entire string later asked reverse each word in that string without reversing the relative order of that string
I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
It was a 30 minutes round questions on Python, SQL, Pyspark - scenario based question to write the code.
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
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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I applied via Naukri.com and was interviewed before Oct 2023. There was 1 interview round.
Digital marketing pros n cons
The duration of Neudesic Technologies Consultant interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 7 interview experiences
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