Answer:
microphone
Explanation:
when you are using a microphone once it stop it done
Specialized search engines indexes content specialized by topic or location and are used to deliver more relevant results to the user. It indexes pages for particular topics. Examples of specialized search engines and their applications include;
1. Uquery.com – This new search engine focuses more on the emergence of iPhone and iPod touch applications
2. Taptu.com – A downloadable search engine that helps the user find items specific to fit on a mobile screen
3. Yahooligans – A sub-domain of yahoo that focuses on kid friendly games.
4. Pubmed.com – This is specifically meant for students in medical schools
5. Zillow.com – Online real estate service that provides information regarding home purchase.
Answer:
The answer is D and E
Explanation:
There is no much difference between a port replicator and a docking station. These two terms are used interchangeably and both serve the same purpose of connecting portable computers with other devices with little or no effort. The main difference between the two is that a port replicator provides a solution for all laptops through USB while a docking uses a propriety connector to the computer. Users can use a docking station and a port replicator to convert their laptop PCs into desktop computers when at home or in the office.
Answer:
Following is the difference between Simple and Compound statement; Simple statement (sentence) is one which has only one subject and one predicate. A Compound statement (sentence) is one which has two or more independent clauses consisting of their own subject and predicate.
Explanation:
hope it helps you
Mark as brainliest.
And follow for a follow back
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
