Learning Akka (Video 31)

Learning Akka (Video 31)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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This video tutorial explores advanced processing structures using flow graphs in streams. It begins with an introduction to graphs and their importance in handling multiple input and output operations. The video then explains fan-in and fan-out junctions, such as merge, zip, and broadcast. It proceeds to demonstrate the implementation of a flow graph, detailing the steps to define and run the graph using a builder block and graph DSL. The tutorial concludes by encouraging viewers to experiment with different junctions for practice.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are graphs necessary in stream processing?

To reduce processing time

To simplify linear flows

To handle multiple input and output operations

To eliminate the need for junctions

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the function of a 'merge' junction?

It combines multiple inputs into one output

It splits one input into multiple outputs

It duplicates the input to all outputs

It filters inputs based on a condition

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which junction would you use to split a stream into two separate streams?

Unzip

Merge

Broadcast

Zip

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example flow graph, what operation does F1 perform?

Multiplies each element by 5

Adds 10 to each element

Divides each element by 5

Subtracts 10 from each element

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using graph DSL in implementing flow graphs?

To visualize graphs on a whiteboard

To optimize graph performance

To translate graphs into simple code

To debug graph errors