Answer:
Fog computing
Explanation:
Fog computing or fogging is an decentralized architecture that resides between the cloud and the data source. Fog brings the cloud closer to the data source, that is, it brings resource exploitation, security polices and operational cost closer to the data source.
In our scenario, with fogging in place, the generated sensor data will be preprocessed closer to the local site. The data will preprocessed faster and the quality of the processed data will be greatly increased.
Answer:
Aporofobia : temor obsesivo a la pobreza y de gente pobre.
Answer:
Chech the explanation
Explanation:
<em>In [16]:</em>
<em />
# Your answer to this question might be written on more than a line.
datascience_trials = make_array()
for i in np.arange(1000):
datascience_trials = np.append(datascience_trials, simulate_several_key_strikes(1))
datascience_proportion = np.count_nonzero(datascience_trials == 'datascience')/1000
datascience_proportion
<em>Out [16]:</em>
0.0
<em>In [17]:</em>
_ = ok.grade('q2_4')
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#Running tests
What they do is the answer
