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Lecture #2.1 - Streaming Data Introduction

Authored by jaime bustamante

Computers

12th Grade

Used 4+ times

Lecture #2.1 - Streaming Data Introduction
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16 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two dimensions used to classify real-time systems?

Speed and Size

Latency and Tolerance for delay

Accuracy and Precision

Efficiency and Effectiveness

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between real-time and streaming data systems?

Real-time systems have better network connectivity

Real Time data systems make data available when needed

Streaming data systems have lower latency

Real-time systems process data faster

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of decoupling in distributed systems like big data platforms?

To synchronize data 24x7

To reduce IT resources

To separate the data service from the consumer

To increase network delays

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two main categories of windowing strategies in streaming data systems?

Open and Closed windows

Static and Dynamic windows

Tumbling and Time-based windows

Fixed and Variable windows

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the trigger policy in windowing techniques?

When the window is opened for data input

When the window size changes dynamically

When all data in the window has to be processed

When an event has to be removed from the window

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a good example of a fixed time window in streaming data systems?

Simple Moving Average

Candlesticks

Tumbling Window

Sliding Time Window

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Simple Moving Average (SMA) function calculate in a sliding time window?

Sum of all values in the window

Maximum value of the window

Minimum value of the window

Average value of the window

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