Answer:
Microsoft Access allows us to sort on multiple fields only if each field is sorted in ascending order.
This is False.
Explanation:It’s straightforward to sort data by one column in Access, when it comes to sorting by two columns, you need to take a couple of additional steps. There is no restriction or requirement of sorted columns before multi-level sorting.
- Steps are:
- Select the entire data set that you want to sort.
- Click the Data tab.
- Click on the Sort Icon (the one shown below). This will open the Sort dialog box.
- in the Sort Dialogue box, make the following selections
- Sort by (Column): Region (this is the first level of sorting)
- Sort On: Values
- Order: A to Z
- If your data has headers, ensure that ‘My data has headers’ option is checked.
- Click on Add Level (this will add another level of sorting options)
- In the second level of sorting, make the following selections:
- Then by (Column): Sales
- Sort On: Values
- Order: Largest to Smallest
- Click OK
credibility so he can trust the source , revelance so it even relates to his study. and popularity to see if others have trusted this source as well but popularity part isnt as important as the other two
Answer:
Option(d) is the correct answer to the given question .
Explanation:
There are various type of algorithm is used for the purpose of the key scheduling such as AES .in the AES algorithm we used same key for encryption and decryption of text .The main objective of the AES algorithm it is used by Various round of the similar plain text encryption to reinforce the cipher text.
- The Option (a) is wrong because In the key scheduling the creating keys are not being used one after just another in the various communication cycles.
- The Option (b) is wrong because In the key scheduling we do not used the the random key for the encryption process .
- The Option (c) is wrong because we will never arbitrarily subdivided into groups of public and private key.
Answer:
apple
Explanation:
the one of the apple is right
Answer:
def most_frequent_letter():
file = open("words","r")
dWords = {}
for line in file:
line = line.rstrip()
words = line.split(" ")
for word in words:
counts = {}
for c in word:
counts[c] = counts.get(c, 0) + 1
dWords[word] = max(counts, key=counts.get)
return dWords
print(most_frequent_letter())
Explanation:
the file used was words in txt format and its contents are as follows:
hello aamir jan khan
parallelogram abdullah
anaconda ali
pycharm notebook