Deployment modes in Spark| Client mode Vs Cluster mode| Spark Interview Questions

[@Amin-tx4ku]

Out of all the KZbin videos available on deployment mode of spark, this is the best and you made it so simple to understand

[@sravanalakshmipisupati6533]

Thanks a lot 😊

[@Jayanaresh_Kusume]

Thank you Sravana for crystal clear explanation..

[@sachinragde]

your video is very helpful for my interview purpose

[@sravanalakshmipisupati6533]

Thank you. All the best

[@kaladharnaidusompalyam851]

Thank you Lakshmi . from now i can easily explain this interview question. just one point- client mode- the driver programme will run in its local machine in Client mode, whereas the driver programme / application master will create one of the worker nodes inside the cluster in cluster mode

[@sravanalakshmipisupati6533]

Thank you Kaladhar. Yes, correct.

[@karimullashaik5884]

Nice explanation... Subscribed your channel... Awaiting more videos...

[@sravanalakshmipisupati6533]

Thanks a lot, karimulla :)

[@sravankumar1767]

superb

[@sravanalakshmipisupati6533]

Thanks a lot 😊 👍

[@tanushreenagar3116]

GREAT EXPLANATION MAM

[@aratithakare8016]

very good explaination . thanks a lot for this video

[@sravanalakshmipisupati6533]

Thank you very much, Arati. Please let me know if you are looking for any particular topic.

[@sravankumar1767]

thanks for explanation

[@sravanalakshmipisupati6533]

Thanks a lot, Sravan.

[@vaishnavacharya7193]

Great explanation. You made it simple to understand. I have some doubts though. As mentioned, in cluster mode, the driver process will run in the application master on one of the worker nodes. My question is, whether this worker node will also be used for execution of tasks ? In one of the videos related to memory allocation, you did mention about reserving one executor for AM. Can you elaborate on this part ? Thanks

[@sravanalakshmipisupati6533]

Replied in the other window. Please revert if further queries. Thank you.

[@sachinragde]

please increase voice frequency

[@sravanalakshmipisupati6533]

Sure, thank you.

[@yuliaberezina1752]

slow down, make a pause between words please, you started very well, and then speed up. Anyways, nice explanation

[@sravanalakshmipisupati6533]

Thank you for the feedback, Yulia. Sure, I will maintain the pace from next video :). You can actually reduce the speed in the settings of this video. Please try to decrease the Playback speed .