When people need information, they typically turn to:

agasfer [191]

Session Initiation Protocol, brainliest ?

4 0

3 years ago

A blood bank maintains two tables - DONOR, with information about people who are willing to donate blood and ACCEPTOR, with info

Kipish [7]

Answer:

The sql query is given below.

Since we need to count of males and females for a particular blood group, we put xxx for the blood group.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors,

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

Explanation:

The clauses in the query are as follows.

1. SELECT: all the columns required in the output are put in this clause.

2. FROM JOIN ON: the table(s) from which the above columns are taken are put in this clause.

3. WHERE: any condition required to filter the output is put in this clause.

The query is explained below.

1. Find the number of male donors. Number of anything can be found using COUNT() function. A query is required since gender is included in deciding the type of donor.

2. The query is defined to find number of male donors as follows.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "M%"; )

3. In the previous query, LIKE operator is used since it is not defined what value is stored for male donors.

4. Similarly, the query to find the number of female donors is formed.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "F%"; )

5. Next, the final query is formed as follows.

SELECT: both COUNT() functions will come here.

FROM: table name

WHERE: specific blood group will be put here

GROUP BY: this clause is optional and is not used in this query.

HAVING: this clause is optional and is not used in this query.

6. The query after putting all clauses is shown below.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%"),

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%")

FROM DONOR

WHERE BG = xxx;

7. Alias is used in the above query for each column to get the final query.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors, COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

7 0

3 years ago

Output a table that show the cube of the numbers 1-15 (C++)

Rainbow [258]

Answer:

The c++ program to display cube of numbers from 1 to 15 is given below.

#include <iostream>

using namespace std;

int main() {

// variables declared and initialized

int num = 15, k, cube;

cout << " Cubes of numbers from 1 to 15 are shown below " << endl;

for( k = 1; k <= num; k++ )

{

// cube is calculated for each value of k and displayed

cube = k * k * k ;

cout << " \t " << cube << endl;

}

return 0;

}

OUTPUT

Cubes of numbers from 1 to 15 are shown below

1

8

27

64

125

216

343

512

729

1000

1331

1728

2197

2744

3375

Explanation:

The variables are declared and initialized for loop, cube and for condition in the loop – k, cube, num respectively.

Inside for loop which executes over k, beginning from 1 to 15, cube of each value of k is calculated and displayed. The loop executes 15 times. Hence, cube for numbers from 1 to 15 is displayed after it is calculated.

for( k = 1; k <= num; k++ )

{

cube = k * k * k ;

cout << " \t " << cube << endl;

}

In the first execution of the loop, k is initialized to 1 and variable cube contains cube of 1. Hence, 1 is displayed on the screen.

In the second execution, k is incremented by 1 and holds the value 2. The variable cube contains cube of 2, which is calculated, and 8 gets displayed on the screen.

After each execution of the loop, value of k is incremented.

After 15 executions, value of k is incremented by 1 and k holds the value 16. This new value is greater than num. Hence, the loop terminates.

3 0

3 years ago

Fill in the blanks:In the context of cyber security, social engineering (SE) is a deceptive practice that exploits human _______

lord [1]

Answer:

In the context of cyber security, social engineering (SE) is a deceptive practice that exploits human weaknesses by inducing victims to interact with a digital device in a way that is not in their best interest. Many of these attacks begin with spam , which is defined as unsolicited messages that are usually sent in massive numbers using electronic mail systems. A spam filter uses a set of rules to examine email messages and determine which are spam. There are four common types of spam filters. Content filters examine the content within a message for certain words or phrases commonly used in spam emails. Header filters review the email header for falsified information, such as spoofed IP addresses. Blacklist filters block mail that originates from IP addresses of known spammers. Permission  filters block or allow mail based on the sender's address. Phishing is an email scam that masquerades as a message from a(n) legitimate company or agency of authority, such as the IRS. Pharming redirects Web site traffic to fraudulent Web sites that distribute malware, collect personal data, sell counterfeit products, and perpetrate other scams. A rogue antivirus exploit usually begins with a virus warning and an offer to disinfect the infected device. Some software is not exactly malware, but it is a nuisance. A PUA takes up residence on a digital device and seems impossible to disable or remove.

3 0

3 years ago

Can anybody answer this

shutvik [7]

Answer:

Its the last one, CSS and HTML are similar but like it says some prefer one over the other.

6 0

3 years ago

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