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IoT Lecture 8 - Data and Analytics for IoT

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

Two important categorizations from an IoT perspective are

a)

structured or unstructured

b)

in motion or at rest

c)

Both a and b are correct

d)

int data and float data

2.

Structured Data

a)

Text

b)

Images

c)

Speech

d)

Spreadsheets

3.

Unstructured Data

a)

Spreadsheet

b)

Databases

c)

Video

d)

All are uncorrect

4.

Select the correct answer

a)

Structured data is not easily formatted, stored, queried, and processed.

b)

IoT sensor data uses structured values, such as temperature, pressure, humidity, and so on, which are all sent in an unknown format.

c)

Structured data is well represented or organized, it can be handled by traditional relational database management system (RDBMS).

d)

Unstructured data means any data that fits neatly into a predefined data model.

5.

Data at rest

a)

client/server exchanges

b)

Real-time streaming analysis tools in Hadoop ecosystem

c)

At Edge Level (data filtered and deleted or forwarded to fog node or

the data center)

d)

Data saved to a hard drive, storage array, or USB drive

6.

four types of data analysis results

a)

Descriptive

Diagnostic

Predictive

Prescriptive

b)

Descriptive

Database

Predictive

Prescriptive

c)

Descriptive

Diagnostic

Process

Prescriptive

d)

Descriptive

Diagnostic

Predictive

Product

7.

Select the wrong statement: Machine Learning

a)

part of Artificial Intelligence (AI)

b)

Finding parked car from GPS location

c)

Simple if-then-else

d)

You do not need to record a set of predetermined sentences to help the tool match well-known words to the sounds you make when you say the words

8.

Unsupervised Learning

a)

there is a “good” or “bad” answer known in advance

b)

a few parameters are computed

c)

big cumulated deviations in multiple dimensions are used to identify the exception

d)

It is the variation from a group behavior that allows the computer to learn that something is different

9.

Neural Networks

a)

In NN the information goes through same algorithms

b)

mimic the way the human brain works

c)

The resulting value of one unit computation can not be used directly or fed into another unit for further processing to occur

d)

The great efficiency of neural networks is that each unit processes a complex test

10.

Three most popular categories of database technologies are

a)

Massively parallel processing systems

NoSQL

Hadoop

b)

Massively parallel processing systems

NoSQL

SQL

c)

Massively parallel processing systems

SQL

Hadoop

d)

SQL

NoSQL

Hadoop