Which of the following statement are true regarding the exact inference in Bayesian Networks? Group of answer choices 1. For query variables, we consider all possible values and calculate the normalizer and obtain the normalized value..2. For hidden variables, we need to use summation for all their possible values.3. The joints probability can be expanded by the Bayesian Network. 4. For evidence variables, we use the given values.

Print "censored" if userinput contains the word "darn", else print userinput. end with newline. ex: if userinput is "that darn cat.", then output is: censoredex: if userinput is "dang, that was scary! ", then output is: dang, that was scary! note: if the submitted code has an out-of-range access, the system will stop running the code after a few seconds, and report "program end never reached." the system doesn't print the test case that caused the reported message.#include #include using namespace std; int main() {string userinput; getline(cin, userinput); int ispresent = userinput.find("darn"); if (ispresent > 0){cout < < "censored" < < endl; /* your solution goes here */return 0; }