Answer:
public boolean oddsMatchEvens(int[ ] w, int[ ] q) {
for (int i = 0; i < w.length-1; i+=2) {
if (w[i] != q[i + 1])
return false;
else
continue;
}
return true;
}
Explanation:
Since it was mentioned that both arrays are of equal length, we use the length of the first array minus one as our condition in order check the last item. Then, we have to check first array even with second array odd so we increment by be i+=2 and not the popular i++. The continue statement ensures that as soon as only one case fails, the loop with stop and return true.
Answer:
The emergence of MP3 (iPod) technology is an example of creative destruction because it has b. Replaced compact discs as a technology used for the storage and transfer of music.
Explanation:
Creative destruction refers to the process whereby a new technology/product replaces the one before it. The MP3 technology replaced compact discs because people started using MP3 files to transfer and store music since it was less expensive and files could be transferred easily. MP3 files could be transferred over Bluetooth and they required less storage space. Whereas, a compact disc required more space and costed more as well. So, MP3 technology replaced compact discs.
The emergence of MP3 (iPod) technology is an example of creative destruction because it has b. Replaced compact discs as a technology used for the storage and transfer of music.
Answer:
B - On the Save & Send tab, select Save to SharePoint, which will allow access to all registered users.
Explanation:
When you send the document to SharePoint, within the SharePoint app you can enable <em>track changes </em>which can be used to track your changes.
Answer:
Wavelength Mismatch
Explanation:
Optical fiber cables are used because they have lowest attenuation(loss of signal strength).
Attenuation is directly proportional to wavelength.
According to me this issue is most likely caused by Wavelength mismatch.If the wavelength of the signal is high then there is more attenuation in that signal.
Answer:
Split the data into two randomly sampled DataFrame,and then train the model with one DataFrame and test it with the other .As we have know labels in the data frame ,so this approch will give us a better picture on how accuractly our model is trained
Explanation:
Split the data into two randomly sampled DataFrame,and then train the model with one DataFrame and test it with the other .As we have know labels in the data frame ,so this approch will give us a better picture on how accuractly our model is trained
