Answer:
Anti-Forensic Techniques.
Explanation:
Anti-Forensic Techniques are thsoe techniques used to deviate the Forensic tools by injecting fake informations, hiding information, planting bugs, editing or erasing information, rendering it impossible to recover the data. It is a criminal way of hacking approach that restrains Forensics to find the hackers.
Anti-Forensic tools and techniques works in oppose to the Forensic tools and techniques that tries to recover the data, locate the hacker.
Thus the correct answer is anti-forensic techniques.
Answer:
The analysis of the question is summarized in the following explanation.
Explanation:
- The dual signature would be intended as a connector for both signals, we can clearly distinguish between the transmit antennas by delivering each statement with such a separate signing, thus making the linkage of certain messages possible via the World wide web.
- No violation of the records allows data easily accessible to a third party so we can improve the safety of 2 statements linking, because nobody can identify how the data have been authenticated as well as how the text could be decrypted to gather intelligence.
Answer:
Following python statement will give the assignment to testResult as specified:
if((geneticMarkerA == 1) or (geneticMarkerB ==1)):
testResult = 1
if((geneticMarkerA ==1) and (geneticMarkerB == 1)):
testResult = 0
if((geneticMarkerA == 0) and (geneticMarkerB == 0)):
testResult = 0
Explanation:
In above statements or and and operator are used to check the conditions of set of values present in variable geneticMarkerA and geneticMarkerB.
Based on if the condition evaluate to true or false respective values to testResult varaible is assigned.
Following is sample run for above statements:
geneticMarkerA = 1
geneticMarkerB = 0
if((geneticMarkerA == 1) or (geneticMarkerB ==1)):
testResult = 1
if((geneticMarkerA ==1) and (geneticMarkerB == 1)):
testResult = 0
if((geneticMarkerA == 0) and (geneticMarkerB == 0)):
testResult = 0
print(testResult)
Output
1
Answer: Online analytical processing
Explanation:
Online analytical processing(OLAP) is the method through which multi-dimension analytical queries can be resolved.User can attain selected query data as per their selection and then assess and analyze them from different view point.
- It helps in viewing and reporting , planning ,performing analytical calculation, collecting data in data cubes etc.
- Other options are incorrect because data adjacency, Ad hoc reporting ,data segregation and E-discovery are not the mechanism through which query and storage of data in data cubes take place.
- Thus, the correct option is online analytical processing
C. Integrate is the answer PLZ MARK AS BRAINLIEST
