Q:6. Why IOT now?

1.Electronic companies are building Wi-Fi and cellular wireless connectivity into a wide range of devices.
2.Mobile data coverage has improved significantly
3.The size and cost of wireless radios has dropped
4.All the above

Solution- 4.All the above

Reason 1- All of the above options that have provided in this question are correct and helping IOT to evolve in the future.


Reason 2- All of the above options that have provided during this question are correct and helping IOT to evolve within the future.


Q:7. Scalability of IoT means:

1.Expandable/reducible in terms of scale or size.
2.Measurable
3.Increasing/decreasing monetary costs.
4.All of these.

Solution- 4.All of these.

Reason 1- This is because the IOT is expandable/reducible in size or to scale. It is also measurable and its cost can be increased or decreased.
Reason 2- This is because the IOT is expandable/reducible in size or to scale. it’s also measurable and its cost are often increased or decreased.


Q:8. Which of the following statement is incorrect for AI?

1.Humans can not evolve as soon as AI evolves to control and handle it
2.The community working towards safe and beneficial superintelligence has grown worldwide.
3.It is typically managed by a peer-to-peer network working simultaneously together to solve complex mathematical problems in order to validate new blocks
4.AI is the new electricity

Solution- 1.Humans can not evolve as soon as AI evolves to control and handle it

Reason 1- We cannot say humans cannot evolve to control and handle it because humans are working on it regularly to make an A.I that will reduce their workload and time to complete a task, which they will adapt later.


Reason 2- We cannot say humans cannot evolve to regulate and handle it because humans are performing on it regularly to form an A.I which will reduce their workload and time to finish a task, which they’re going to adapt later.


Reason 3- We cannot say humans cannot evolve to manage and handle it because humans are working on it regularly to make an A.I which can reduce their workload and time to end a task, which they go to adapt later.


Q:9. Overfitting __

1.The model remembers a huge number of examples instead of learning to notice features and may fail to predict future observations reliably.
2.Occurs when a statistical model cannot adequately capture the underlying structure of the data.
3.Occurs if the model or algorithm shows low variance but high bias
4.None of the above

Solution- 1.The model remembers a huge number of examples instead of learning to notice features and may fail to predict future observations reliably.

Reason 1- Overfitting is “the production of an analysis that corresponds too closely or exactly to a particular set of data, and may therefore fail to fit additional data or predict future observations reliably”
Reason 2- Overfitting is “the production of an analysis that corresponds too closely or exactly to a specific set of knowledge , and should therefore fail to suit additional data or predict future observations reliably”


Q:10. AI in security will:

1.Not detect threats based on application behavior and a whole network’s activity.
2.Not be able to identify and stop cyber threats with less human intervention than is typically expected or needed with traditional security approaches.
3.Not detect when new threats are imminent
4.Not replace a security analyst’s insights or understanding of the field.

Solution- 4. Not replace a security analyst’s insights or understanding of the field.

Reason 1- This is because we do not have A.I’s that can understand and gathered field intelligence without human intervention.


Reason 2- This is because we don’t have A.I’s which will understand and gathered field intelligence without human intervention.

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