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I applied via Referral and was interviewed before Sep 2021. There were 4 interview rounds.
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I was interviewed in Oct 2024.
Designing an ADF pipeline for data processing
Identify data sources and destinations
Define data transformations and processing steps
Consider scheduling and monitoring requirements
Utilize ADF activities like Copy Data, Data Flow, and Databricks
Implement error handling and logging mechanisms
Discussing expected and current salary for negotiation purposes.
Be honest about your current salary and provide a realistic expectation for your desired salary.
Highlight your skills and experience that justify your desired salary.
Be open to negotiation and willing to discuss other benefits besides salary.
Research industry standards and salary ranges for similar positions to support your negotiation.
Focus on the value y...
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
Spark performance problems can arise due to inefficient code, data skew, resource constraints, and improper configuration.
Inefficient code can lead to slow performance, such as using collect() on large datasets.
Data skew can cause uneven distribution of data across partitions, impacting processing time.
Resource constraints like insufficient memory or CPU can result in slow Spark jobs.
Improper configuration settings, su...
I applied via Campus Placement
Based on SQL , statistics , python , cognitive
Address toxic work culture by open communication, setting boundaries, seeking support, and considering leaving if necessary.
Open communication with colleagues and management about issues
Set boundaries to protect your mental and emotional well-being
Seek support from HR, a mentor, or a therapist if needed
Consider leaving the toxic work environment if the situation does not improve
I was interviewed in Aug 2024.
I applied via Naukri.com and was interviewed in Oct 2024. There was 1 interview round.
Incremental load in pyspark refers to loading only new or updated data into a dataset without reloading the entire dataset.
Use the 'delta' function in pyspark to perform incremental loads by specifying the 'mergeSchema' option.
Utilize the 'partitionBy' function to optimize incremental loads by partitioning the data based on specific columns.
Implement a logic to identify new or updated records based on timestamps or uni...
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
Java and sql questions
Simple java program for find factorial and prime number
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