Describe pipeline of current machine learning product you're building. How do you assure persistence, resiliency etc architectural questions. How do you learn from both streaming and offline data in your pipeline. How do you assure reproducibility in your experimentation. How do you document processes and onboard new engineers. How do you use kafka?
why are you looking for change where you already working in product based company
Just basic questions about your current job roles & responsibilities, some situation based, etc. There can't be anything technical as this role doesn't required any technical knowledge. Best for people coming for L1 support or BPO. If your coming from Production Support etc where you use Database or Scripting etc, don't come here. You lose all your skills.
How my experiences in my previous career (non-medical device) were similar to the requirements needed to fulfill the quality system at BSCI
Q. (R3) You have a continuous stream of strings, these may be infinite. You have to find the top 100 most frequently occurring strings in the last 1 million strings, this answer has to be given from time to time, randomly. Implement the functions: void putString (string s) it indicates a string was inserted in the stream List getTop100 () it is a request to get the 100 most frequent in last 1 million strings
Why do you want to sprinkler?
Do you know what sprinklr does? How will you design sprinklr?
Reverse a string count the no. of character in a string
They were majorly around dp, bst and game theory and few puzzles
Asked be to explain SAAS.
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