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
Sr I don’t know what about it today lol but it’s just a weird thing about to be with my buddy who knows what to say lol
Answer:
Direct data access reduces the speed of retrieving data from memory or storage. Retrieving data and storing it in a cache memory provides direct access to data in the storage.
Explanation:
Sequential memory access, as the name implies, goes through the memory length location in search of the specified data. Direct memory access, provides a memory location index for direct retrieval of data.
Examples of direct and sequential memory access are RAM and tapes respectively. Data in sequential memory access can be access directly by getting data in advance and storing them in cache memory for direct access by the processor.
