DS169 - Module 3 Flashcards
The _________ is a huge, interconnected network of powerful servers that performs services for businesses and for people.
ANSWER: cloud
Back in the 1970s it was popular for businesses to rent time using big, ___________________.
ANSWER: mainframe computer systems
These are the largest cloud providers in the US EXCEPT:
Amazon
Google
Apple
Microsoft
Apple
Generally, something that happens “In The Cloud” is any activity that takes place over an ______________________ instead of on the device itself.
ANSWER: Internet connection
When you have large amounts of sensor data, this can be passed to the cloud from all sensors and processes there in aggregate
High system scalability and availability
Increased Performance
Pay-As-You-Go
Increased Performance
The large amounts of data produced by IoT devices need extreme performance to interact and connect with one another. The cloud provides the connectivity which is necessary to share information between the devices and make meaning from it at a fast pace.
High system scalability and availability
Increased Performance
Pay-As-You-Go
Increased Performance
When you store data in a company’s cloud service, do you own the data or does the cloud provider? - Which concern with cloud usage is being identified here?
Potential crashes
Data Ownership
Latency
Data Ownership
If the connection is interrupted or the cloud service itself crashes, the IoT application won’t work. - Which concern with cloud usage is being identified here?
Potential crashes
Data Ownership
Latency
Potential crashes
These are all concerns with cloud usage EXCEPT:
Data ownership
Maintenance cost
Potential crashes
Latency
Maintenance cost
These are all benefits of the cloud EXCEPT:
Decreased costs
High system scalability and availability
High Maintenance costs
Pay-as-needed for storage/computing
High Maintenance costs
True or false: Today, 75.44 billion IoT devices are installed worldwide
False
True or false: Currently, the biggest obstacles to fully utilizing IoT data analytics are the costs and speed of storing, processing, and analyzing the extensive flows of data from distributed IoT devices.
True
What is the primary benefit of using IoT data analytics for predictive maintenance in industries that rely on large machinery or equipment?
Reducing energy consumption
Lowering maintenance costs and reducing equipment downtime
Improving customer experience
Maximizing revenue
Lowering maintenance costs and reducing equipment downtime
How can smart home devices and systems be used to reduce energy consumption?
By analyzing fan movements and reactions at basketball games
By using a centralized dashboard to easily identify and optimize energy use
By monitoring structural health and predicting issues in buildings
By measuring real-time weather changes and determining nutrient levels in the soil
By using a centralized dashboard to easily identify and optimize energy use
One example of how IoT data analytics can be used to improve customer experience is by:
Maximizing parking revenue
Reducing energy consumption
Optimizing seating placement and facility access at basketball games
Monitoring structural health and predicting issues in buildings
Optimizing seating placement and facility access at basketball games
How can IoT data analytics be used in smart cities to enable smart parking?
By measuring wear and tear of machinery and predicting failures
By collecting and analyzing data to develop tailor-made packages for energy users
By detecting available parking spaces and uploading real-time information to an app
By measuring real-time weather changes and determining nutrient levels in the soil
By detecting available parking spaces and uploading real-time information to an app
How can IoT data analytics be used to monitor and protect buildings and
By maximizing parking revenue
By reducing energy consumption
By tracking important metrics such as tremors, moisture levels, and deterioration in building materials
By measuring real-time weather changes and determining nutrient levels in the soil
By tracking important metrics such as tremors, moisture levels, and deterioration in building materials
How can IoT data analytics be used in agriculture to improve crop conditions, health, and yields?
By measuring wear and tear of machinery and predicting failures
By reducing energy consumption
By optimizing seating placement and facility access at basketball games
By measuring real-time weather changes, calculating direct sunlight and rainfall, and determining nutrient and moisture levels in the soil
By measuring real-time weather changes, calculating direct sunlight and rainfall, and determining nutrient and moisture levels in the soil
True or false: Machine learning is a powerful tool that incapacitates us to make predictions and decisions based on data. When combined with the Internet of Things (IoT) data, it can be used to analyze large amounts of data and make decisions faster and more accurately.
False
True or false: IoT data is data generated by connected devices and sensors.
True
Give 3 Examples of Applications of Machine Learning with IoT data.
- Industrial IoT of Data Compression and Prediction
- Face Retrieval for Discriminate Analysis
- Anomaly Detection of the IoT Cyber Attacks in the Smart City
- Using of the IoT and Machine Learning in the Personalized Healthcare
- In IoT Application the Classification of the Indoor Environment
- Threat Shield in the Resources Constrain in IoT of the Machine Learning
All of the choices are challenges in Machine Learning except:
False Correlation
Contaminated or Poisoned reference data
Security and Privacy
Feedback loops
Security and Privacy
_____ can come from a variety of sources, such as sensors, connected devices, and even manual input.
Answer: Data
Preprocessing involves cleaning the data and transforming it into a format that can be used by the algorithms. This can include _______, _______ the data, and _______ it into a format that can be used by the algorithms.
Answers: removing outliers, normalizing, transforming
Give 3 examples of unsupervised learning
- Clustering
- Vector Quantization
- Deep Learning
Give 3 examples of Supervised Learning
- Super Vector Machine
- Naïve Bayes
- K-Nearest Neighbors
How IOT big data can be applied?
Four (4) major applications of IoT are
(1) Real-time monitoring
(2) Data analysis
(3) Process control and optimization
(4) Predictive maintenance. Real-world applications may include traffic management, retail, agriculture, healthcare, and manufacturing.
Give 2 examples of how data can be processed and optimized.
Your Answer:
Data can be processed and optimized in a real-world setting. This may include traffic management, application in retail, and an agricultural aspect.
What are the factors that need to be considered before analyzing data?
A significant factor that should be taken accounted for is data storage. While it may be of great help to gather and store all the data that we can, we must reduce the processing of complex data and only store small amounts of irrelevant data in the future.
How big data is processed in an IOT solution?
The data processing elements of an IoT architecture in IoT systems vary depending on the specifics of incoming data, anticipated results, and more. To process big data in IoT solutions, we’ve developed our own methodology.
