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ECE420 - Q1 FINALS

Total questions: 30

Worksheet time: 16mins

Name
Class
Date
1.

What is the first step before beginning the data collection process?

a)

Identify business needs and objectives

b)

Purchase data storage

c)

Hire a data scientist

d)

Develop a marketing strategy

2.

Which of the following is NOT a question to consider for robust IoT data management?

a)

What are you going to do with your data?

b)

How much data storage do you own?

c)

How often will you update your website?

d)

Which platform should be used to manage the gathered data?

3.

What is data drift?

a)

The process of data being lost over time

b)

The sum of undocumented and unexpected changes to data

c)

The movement of data from one server to another

d)

The increase in data storage costs

4.

What is metadata?

a)

Data about data

b)

A type of data storage

c)

A data processing tool

d)

A data encryption method

5.

Which of the following is a critical component of IoT systems?

a)

Metadata

b)

Social media data

c)

Marketing data

d)

Financial data

6.

What is a benefit of a well-thought-out data management strategy?

a)

Increased marketing budget

b)

Real-time operational insights

c)

Higher employee turnover

d)

Reduced customer satisfaction

7.

How can a data management strategy help in product optimization?

a)

By reducing the number of products

b)

By understanding user behavior and performance metrics

c)

By increasing the price of products

d)

By outsourcing production

8.

What percentage of customers are more likely to purchase products with personalized experiences?

a)

50%

b)

60%

c)

70%

d)

80%

9.

What does a comprehensive data management strategy aid in?

a)

Discoverability

b)

Data loss

c)

Increased costs

d)

Employee dissatisfaction

10.

What is predictive maintenance?

a)

A method to predict customer behavior

b)

A strategy to maintain products before issues arise

c)

A way to increase marketing efforts

d)

A technique to reduce employee workload

11.

What is an IoT data pipeline?

a)

A method to transport oil

b)

A technology stack for handling IoT data

c)

A marketing strategy

d)

A financial plan

12.

What is the first step in building the IoT data pipeline?

a)

Data ingestion

b)

Data analysis

c)

Data storage

d)

Data encryption

13.

What does the ingestion process involve?

a)

Creating new data values

b)

Deleting old data

c)

Encrypting data

d)

Marketing data

14.

What is the new model of integration in IoT?

a)

Extract, transform, and load

b)

Subscribe, transform, and publish

c)

Collect, analyze, and store

d)

Encrypt, decrypt, and store

15.

What is a data lake?

a)

A storage option for large amounts of data

b)

A type of data encryption

c)

A marketing tool

d)

A financial strategy

16.

What is necessary to tap into the business potential generated by IoT data?

a)

A scalable, secure, and agile data supply chain

b)

Increased marketing budget

c)

Hiring more employees

d)

Reducing data storage

17.

How can IoT data help organizations?

a)

By lowering costs and improving operational efficiency

b)

By increasing employee turnover

c)

By reducing customer satisfaction

d)

By increasing marketing efforts

18.

What can IoT data analytics help to spark?

a)

Innovation of new products and services

b)

Increased marketing budget

c)

Higher employee turnover

d)

Reduced customer satisfaction

19.

What is one of the new capabilities provided by IoT?

a)

Accurate predictions from collected data

b)

Increased marketing budget

c)

Higher employee turnover

d)

Reduced customer satisfaction

20.

How can IoT help in customer interaction and retention?

a)

By pinpointing data anomalies

b)

By increasing marketing budget

c)

By reducing employee workload

d)

By outsourcing production

21.

What is the role of business leaders in IoT data management?

a)

Analyzing how different data sets correlate

b)

Increasing marketing budget

c)

Reducing employee workload

d)

Outsourcing production

22.

What is the importance of data architecture in IoT?

a)

It deals with the logical structure of data components

b)

It increases marketing budget

c)

It reduces employee workload

d)

It outsources production

23.

What is the benefit of real-time monitoring in IoT?

a)

It provides alerts for issues during processes

b)

It increases marketing budget

c)

It reduces employee workload

d)

It outsources production

24.

How does metadata help in IoT systems?

a)

It organizes and catalogs IoT data

b)

It increases marketing budget

c)

It reduces employee workload

d)

It outsources production

25.

What are the key challenges in managing IoT data?

a)

Data volume and variety

b)

Data security and privacy

c)

Data integration and interoperability

d)

All of the above

26.

How can organizations ensure the security of IoT data?

a)

Implementing strong encryption methods

b)

Regularly updating software and firmware

c)

Using secure communication protocols

d)

All of the above

27.

What are the benefits of using edge computing in IoT?

a)

Reduced latency

b)

Improved data security

c)

Lower bandwidth usage

d)

All of the above

28.

How does metadata enhance IoT data management?

a)

By providing context to the data

b)

By reducing data storage requirements

c)

By improving data transmission speeds

d)

By eliminating the need for data encryption

29.

What role does predictive analytics play in IoT?

a)

It helps in real-time data processing

b)

It enables proactive maintenance and issue resolution

c)

It reduces the need for data storage

d)

It simplifies data integration

30.

How can IoT data be used to improve customer experiences?

a)

By personalizing services and products

b)

By reducing operational costs

c)

By increasing data redundancy

d)

By simplifying data collection processes