ML questions: 1. What is overfitting, and how to overcome overfitting? 2. What is regularization? example? 3. How to handle data imbalance. 4. How to save model? Which kind of data structure?
Data Intern Interview Questions
7,486 data intern interview questions shared by candidates
Describe a project in which you've used linear regression.
They asked about my projects and internship. They also asked about dsa.
How would you detect fraudulent transactions?
Describe a time you took leadership over a project, explain technical aspects as well
SQL question on JOINS, Python question on Pandas manipulation
joins, strings and arrays from dsa
Why do you want to work at Amazon
Perform sql queries given a database
Can u give me a small presentation of yourself ? Why did u apply for amazon? Wht wud the minimum components to boot a PC ? Booting a system without any local storage : Network Boot. Example PXE Diff between SSD and HDD; Advantages and Disadvantages. What types of connections do the Hard drives hve to mother board wht is RAID disk Monitoring / Health boards for Disk/Servers ? Ans : SMARTS Types of RAM ECC in RAM Wht is Bios. Changing mother board changes BIOS ? Wht is mac address nd why is it needed. Wht protocol is needed to translate btwn mac and IP address : ARP What is NAT ? What is SFP transceiver ? Single mode fiber used for long distance communication bcos ???? Switching and Routing, OSI Model Physical address of a network equipment How to check the IP address ? Types of Fiber - Single mode and Multi Mode Describe ethernet cable Linux distribution used; Basic commands of Linux like the current directory, 'ls' command, Create a new folder Wht is Linux kernel Wht kinda systems u use to prevent data threats. Ans : RAID Connectors that connect hard drive to motherBoard : SATA, nvem Behavioral When u dont know how to solve a challenging problem and wht to do next. How did you solve ? U made a decision without consulting ur manager, What and why ? Coolest thing tht u hve learnt on ur own nd tht mde u perform well in ur job The hardest decision that you took for a long term goal by sacrificing a shrt term goal
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