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nexus9112 [7]
3 years ago
15

True or false.local and cloud backup differs in where the backup is saved

Computers and Technology
2 answers:
Feliz [49]3 years ago
7 0

I think this is true.

NemiM [27]3 years ago
7 0

Answer: True.

Explanation:

To access the cloud, you need an Internet connection. Those limits do not apply to local storages. No matter if you are connected to the Internet or not, you can search through your data instantly on local storage.

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3 years ago
Multiple choice
Bezzdna [24]
The answer is D. The colors that we see are all being reflected.
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Given the following output from /etc/fstab, which filesystems will be automatically checked on boot by the fsck command? [BEGIN
leva [86]

Answer:

Details below

Explanation:

From the following output we will get: /, /dev/pts, and /dev/shm while fsck is running automatically at boot for all filesystems

6 0
3 years ago
7. Write a Qbasic program to read the value
Shtirlitz [24]

Answer:

PRINT "Values for Principal (P), Rate (A) and Time (T)"

INPUT P, A, T

I = P * A * T/100

Amount = P + I

PRINT "Interest: ", I

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Explanation:

This prompts the user for values for Principal, Rate and Time

PRINT "Values for Principal (P), Rate (A) and Time (T)"

This gets values for Principal (P), Rate (R) and Time (T)

INPUT P, A, T

This calculates the interest (I)

I = P * A * T/100

This calculates the amount (A)

Amount = P + I

This prints the interest (I)

PRINT "Interest: ", I

This prints the amount (A)

PRINT "Amount: ", Amount

4 0
3 years ago
Collaborative filtering is
vazorg [7]

Answer:

A: used by ISP's to filter out email SPAM

C: a way to help an individual focus on best choices when deciding what to watch or buy.

Explanation:

Collaborative filtering uses a community-based approach to filter spam. It works by collecting numerous email users from around the world. By doing this, it becomes possible for users to flag emails that are spam and those that are legitimate.

Also Collaborative Filtering is one of the most efficient techniques for building a system that can help a user when it comes to recommending best choices based on information from a large number of users.

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