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Extreme Networks Senior Machine Learning Engineer Interview Questions and Answers
Extreme Networks Senior Machine Learning Engineer Interview Experiences
1 interview found
Anonymous
I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
(3 Questions)
- Q1. Spark code optimization
- Q2. Data formats in big Data, why each format.
- Ans.
Different data formats in big data are used for various purposes like storage efficiency, data processing speed, and compatibility with different systems.
JSON: Lightweight, human-readable, and widely supported for web applications.
Parquet: Columnar storage format for efficient querying and processing of large datasets.
Avro: Schema-based serialization format with support for complex data types.
ORC: Optimized Row Columna...
- Q3. Leet code - Most freq elem in a list
- Ans.
Find the most frequent element in a list of strings.
Iterate through the list and count the frequency of each element using a dictionary.
Track the element with the highest frequency as you iterate.
Return the element with the highest frequency.
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Questions from Past Work Experience
Coding
Data Engineering, cloud.
Leet code.
Cleared all the rounds and HR verbally committed the offer and disappeared (stopped responding), without any updates.
Even if you get an offer from Extreme Networks better keep a backup offer, their decisions are dynamic so there is a high chance of offer getting revoked.
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Extreme Networks Senior Machine Learning Engineer Interview Process
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