
Lecture #2.1 - Streaming Data Introduction
Authored by jaime bustamante
Computers
12th Grade
Used 4+ times

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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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