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Best Practices for Handling Duplicate Elements in Python Lists

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Here are three awesome ways that you can use to remove duplicates in a list. These are helpful in resolving your data analytics solutions.  01. Using a Set Convert the list into a set , which automatically removes duplicates due to its unique element nature, and then convert the set back to a list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = list(set(original_list)) 02. Using a Loop Iterate through the original list and append elements to a new list only if they haven't been added before. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] for item in original_list:     if item not in unique_list:         unique_list.append(item) 03. Using List Comprehension Create a new list using a list comprehension that includes only the elements not already present in the new list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] [unique_list.append(item) for item in original_list if item not in unique_list] All three methods will result in uni
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Big Data: Top Hadoop Interview Questions (3 of 5)

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1) What are daemons in Hadoop?

Big Data: Top Hadoop Interview Questions
#Big Data: Top Hadoop Interview Questions:
In reality running Hadoop means, running daemons of resident programs in multiple servers of your network. This kind of architecture is called fully configured cluster.

2) How daemons run in Hadoop architecture?

Some daemons run in only one server, and others run in more than one server

3) What are the 5 daemons of Hadoop?

-Name node
-Secondary name node
-Data Node
-Job tracker
-Task tracker

4) How many levels do we classify Hadoop broadly?

Broadly we can classify as, it is combination of distributed storage and distributed computation.
Also, as Master/Slave architecture

5) Who is the master of HDFS?

Name node is the master of HDFS

6) What are the functions of Name node?

-Master of HDFS
-Directs slave node i.e., Data nodes
-Book keeping for HDFS
-Monitor overall health of HDFS

7) What is data node?

Each slave machine will have Data node daemon.It performs grunt work of distributed file system

8) What are the functions of Data node?

-Main functionality is read or write HDFS file blocks to local system
-Data node communicates to name node about data blocks. Name node in turn communcates about data block and Data nodes to client.
-Data nodes can communicate each other
-Every change of data in Data node will communicate to Name node

9) How many replicas of data blocks stored in different Data nodes?

3

10) What is Secondary Data node(SNN)?
  • SNN is an assistant to Name node. It also monitors the state of HDFS cluster
  • Like Name node each cluster has one SNN, and it typically resides on its own machine
  • Data nodes and Task trackers run on multiple servers.
It does not record any changes, but time to time it suggests Name node to take SNAP shots of HDFS metadata

11) What will happen if Name node fails?

Then , human interventions is required. That time SNN acts as Name node.

 12) What is the role of Job tracker?

This is mediator between client and Task tracker
- Prepares execution plan
-Assign works to task trackers
-Assign nodes to different tasks
-Monitors all tasks are running fine or not

13) What is the role of Task tracker?

Manages execution of individual tasks on each slave node
Single task tracker for each slave node
A task tracker can spread multiple JVMs in a single slave node, to process parallel

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