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Goprogramming~5 mins

Common concurrency patterns in Go - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is a goroutine in Go?
A goroutine is a lightweight thread managed by the Go runtime. It allows functions to run concurrently without the overhead of traditional threads.
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beginner
Explain the purpose of channels in Go concurrency.
Channels are used to communicate and synchronize between goroutines. They allow safe data exchange without explicit locks.
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intermediate
What is the 'worker pool' pattern in Go concurrency?
A worker pool is a pattern where multiple goroutines (workers) receive tasks from a shared channel and process them concurrently, improving resource use and throughput.
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intermediate
Describe the 'fan-out, fan-in' concurrency pattern.
Fan-out means starting multiple goroutines to perform tasks concurrently. Fan-in means collecting results from these goroutines into a single channel for processing.
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intermediate
What is the role of the 'select' statement in Go concurrency?
The select statement lets a goroutine wait on multiple channel operations, proceeding with the one that is ready first. It helps handle multiple communication cases cleanly.
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What does a goroutine represent in Go?
AA lightweight thread managed by Go runtime
BA type of channel
CA mutex lock
DA package for concurrency
Which Go feature is used to safely communicate between goroutines?
AMutex
BInterfaces
CWaitGroups
DChannels
In the worker pool pattern, how do workers receive tasks?
AFrom a mutex lock
BFrom global variables
CFrom a shared channel
DFrom a select statement
What does the 'select' statement do in Go?
AWaits on multiple channel operations
BCreates a new channel
CStarts a new goroutine
DLocks a goroutine
What is the 'fan-in' pattern used for?
AStarting multiple goroutines
BCollecting results from multiple goroutines into one channel
CCreating a worker pool
DLocking shared data
Describe how the worker pool concurrency pattern works in Go.
Think about how tasks are distributed and processed by several workers.
You got /4 concepts.
    Explain the difference between fan-out and fan-in concurrency patterns.
    Consider how tasks are spread out and how results come back.
    You got /3 concepts.