Coursera | Big Data Specialization | Big Data Modeling and Management Systems | Quiz Week 4

Data Formats and Streaming
Data Quiz

1。What is true between data modeling and the formatting of the
data?
The data does not necessarily need to be formatted in a
way that represents the data model. Just so long as it can
be extrapolated.

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There is always one specific schema for storing model
data that is the best and preferred method for the
specific data representation.
There is a one to one correspondence between
formatting data and data modeling. For every model of
data, there is only one way to store the data.

2。What is streaming?
Calculating results using real time data otherwise known
as streaming data.
Using static data stored from a real time source in order
to process and guide the application.
Utilizing real time data to compute and change the state
of an application continuously.

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Using sensors to manipulate the system, such as a smart
car being able to drive by itself using sensors to detect
road hazards.



3。Of the following, what best describes the properties of working
with streaming data?

Does not ping the source interactively for a response
upon receiving the data.

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Data manipulation is near real time.

Small time windows for working with data.

Always unbounded in sequence, in other words, data is
not guaranteed to be in order.

Independent computations that do not rely on previous
or future data.

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Data is always utilized for streaming the application.

4。What is a characteristic of streaming data?

Data is unbounded in size but requires only finite time
and space to process it.
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The data is finite and requires only finite time and space
to process the data.
The data is unbounded in size and the size determines
the time and space of processing the data.
Data is finite in size and size determines the time and
space of processing the data.


5。What type of algorithm is required for analyzing streaming data?
Accurate and Consistent
Fast and Simple

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Accurate and Memory Efficient
Fast and Complex

6。
What is lambda architecture?
A method to process streaming data by utilizing batch
processing and real time processing.


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A specific hardware architecture for a server made
specifically for processing real time data.

A specific method for processing streaming data using
special real time processes.

7。
Of the following, which best represents the challenge regarding the
size and frequency of data?
There may not be data to produce the notion of size and
frequency.
The size and frequency of the streaming data may be
sporadic.


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The size and frequency of the streaming data may be too
small.

8。
What is the difference between data lakes and data warehouses?

Data lakes house raw data while data warehouses
contain pre-formatted data.


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Data lakes contain only files than data warehouses
contain only databases.
Data lakes utilize hierarchical systems while data
warehouses use object storage.

9。What is schema-on-read?

The process where data is pre-formatted prior to being
read but the schema is loaded on read.
The process where formatted data is given structure
when read.
Data is stored as raw data until it is read by an
application where the application assigns structure.

Another name for data lakes.