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I applied via Referral and was interviewed in Sep 2024. There were 2 interview rounds.
Case study is shared two days before the interview process
Spark optimization techniques improve performance and efficiency of data processing.
Partitioning data to distribute workload evenly
Caching frequently accessed data to avoid recomputation
Using appropriate data formats like Parquet for efficient storage and retrieval
Optimizing shuffle operations by tuning parameters like shuffle partitions
Avoiding unnecessary data shuffling by using broadcast joins
Optimizations in Databricks involve tuning cluster configurations, optimizing code, and utilizing caching.
Tune cluster configurations to allocate resources efficiently
Optimize code by using efficient algorithms and data structures
Utilize caching to store intermediate results and avoid recomputation
Broadcast join is used when one of the tables is small enough to fit in memory of all the nodes in the cluster, reducing shuffle and improving performance.
Broadcast join is used to optimize join operations by broadcasting the smaller table to all nodes in the cluster.
It is beneficial when one of the tables is small enough to fit in memory of all nodes, reducing the need for shuffling data across the network.
Broadcast j...
I applied via Company Website and was interviewed before Jun 2020. There was 1 interview round.
I appeared for an interview in Nov 2020.
I applied via Approached by Company and was interviewed in Jan 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed before Jun 2021. There were 2 interview rounds.
I have learned various software's including Microsoft Office, MATLAB, and Adobe Creative Suite.
Proficient in Microsoft Office including Word, Excel, and PowerPoint
Experience with MATLAB for data analysis and modeling
Familiarity with Adobe Creative Suite including Photoshop and InDesign
Basic knowledge of programming languages such as Java and Python
I applied via Company Website and was interviewed in Jan 2023. There were 2 interview rounds.
KPIs for measuring success of product introduction
Identify target market and set sales goals
Track customer feedback and satisfaction
Monitor product adoption rate and market share
Analyze sales data and adjust marketing strategy accordingly
I applied via Walk-in and was interviewed in Mar 2024. There was 1 interview round.
I applied via Shine and was interviewed before Apr 2023. There were 3 interview rounds.
based on 4 interviews
Interview experience
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