
Machine to Machine Architecture
Quiz
•
Architecture
•
1st Grade
•
Practice Problem
•
Easy
monika t
Used 2+ times
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some common data communication protocols used in M2M architecture?
FTP
MQTT, CoAP, HTTP
SNMP
SMTP
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can IoT devices be integrated into M2M systems?
Implementing a peer-to-peer network without a middleware platform
Integrating IoT devices with traditional landline telecommunication systems
By using Bluetooth technology for communication
Using protocols such as MQTT or CoAP and implementing a middleware platform
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some important security considerations in M2M architecture?
Publicly accessible communication protocols
Authentication, encryption, secure communication protocols, access control, and device management
Biometric authentication
Unrestricted device access
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Discuss the scalability of M2M systems and its importance.
Scalability of M2M systems is not important because it only applies to outdated technology
Scalability of M2M systems is not important because it only affects large organizations
Scalability of M2M systems is important because it ensures that the system can handle a growing number of devices and data traffic without compromising performance or reliability.
Scalability of M2M systems is not important because it does not impact performance
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the process of M2M application development and its challenges.
The challenges of M2M application development are easily overcome with simple solutions
The process of M2M application development involves only one type of device and protocol
M2M application development has no challenges and is a straightforward process
The challenges of M2M application development include interoperability issues between different devices and protocols, security concerns related to data transmission and storage, scalability to handle large volumes of data, and the complexity of managing diverse hardware and software components.
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