Exact2Pass
Last Update 15 hours ago Total Questions : 60
The Developing Solutions Using Cisco IoT and Edge Platforms (DEVIOT) content is now fully updated, with all current exam questions added 15 hours ago. Deciding to include 300-915 practice exam questions in your study plan goes far beyond basic test preparation.
You'll find that our 300-915 exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these 300-915 sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Developing Solutions Using Cisco IoT and Edge Platforms (DEVIOT) practice test comfortably within the allotted time.
Which two statements about how to provision and manage data originators in a cloud environment are true? (Choose two.)
Refer to the exhibit.
The graph has been provided by the monitoring team to the IoT Engineer. The red line represents the consumption of energy from an industrial machine.
Which two pieces of information can be captured? (Choose two.)
Refer to the exhibit.
The code snippet provides information about the packet captures within a network. How can the most used source IP addresses within a specific time be visualized?
A sensor reads potentially critical data from an industrial device, but most of the data from the sensor is not critical information and does not change unless a critical event happens.
Which data work flow is appropriate for how the critical and non-critical data is processed?
A network is being configured for an Ethernet-connected sensor. The sensor fails to send data to the configured destination. The IP address of the sensor can be pinged from a laptop on the same subnet. When a different subnet is used, the sensor cannot be reached, but other clients on the same subnet are still accessible.
What are two reasons for the connectivity problem? (Choose two.)
Drag and drop the tasks from the left into the correct order on the right for transporting data from sensors to the cloud, in order to extract the machine data and use the cloud-based analytics for predictive maintenance.
