Tuesday , July 7 2026

Machine Learning

Wi-Fi Quiz Answer NSE 2 Information Security Awareness Fortinet

Question 1: Which standard is Wi-Fi based on? IEEE 802.11ISO 57505-4-3 rule10Base-T Question 2: When the Ethernet switch was introduced, what major benefit did it bring to networks? It allowed simultaneous transmissions on a network.It increased the number of computers that can be connected to a network.It reduced the number …

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Insider Threat Perspectives Quiz Answers NSE 1 Information Security Awareness Fortinet

Question 1: Which practice strengthens the physical security of your work environment? Ensure that your software is up-to-date and that the latest patches are applied.Recycle all paper, CDs, DVDs, hard drives etc. into their appropriate bins.Pile all confidential documents neatly to one corner of your desk.Shred and destroy all documents …

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Internet Threat Perspectives Quiz Answers NSE 1 Information Security Awareness Fortinet

Question 1: Select two good travelling habits for protecting your portable device. (Choose two.) Avoid joining unknown Wi-Fi networksJoin only Wi-Fi networks from recognizable brands, such as StarbucksTurn off automatic security software updatesEncrypt all sensitive data Question 2: You receive an email from your bank. It states that someone has …

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Password Perspectives Quiz Answers NSE 1 Information Security Awareness Fortinet

Question 1: Which practice should you implement for backups? Encrypt the backup data for an extra layer of protection.Keep a backup device physically connected to the host computer 100% of the time.Use multiple backup vendors for redundancy.Always back up your data in the cloud. Question 2: Which rule is best …

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Data Security Perspectives Quiz Answers NSE 1 Information Security Awareness Fortinet

Question 1: Which definition best describes personally identifiable information (PII)? Personal preferences, such as favourite settings in applicationsA means of identifying the author of informationAny information that someone can use to identify youA government-issued number that is used to identify a citizen, mostly for tax purposes Question 2: In the …

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Bad Actors Quiz Answers NSE 1 Information Security Awareness Fortinet

Question 1: What is the motivation of the bad actor known as the “Explorer”? FoodMoneyIdeologyNotoriety Question 2: What is the motive of the “Cyber Criminal”? MoneyFameIdeologyIntimidation Question 3: What are the primary motivations of the “Hacktivist”? The appreciation of their country’s leadersFood, wine, and gamblingPolitical, social, or moral disagreementsThe cost …

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Fortinet NSE Network Security Associate Certification Answers

Fortinet Network Security Expert Certification – NSE 1 Network Secutity Associate Quiz Answers Bad Actors Quiz Answers NSE 1 Information Security Awareness Fortinet Data Security Perspectives Quiz Answers NSE 1 Information Security Awareness Fortinet Password Perspectives Quiz Answers NSE 1 Information Security Awareness Fortinet Internet Threat Perspectives Quiz Answers NSE …

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Suicide Case Study – NumPy

Suicide Case Study – NumPy

13 Suicide Case Study – Numpy Import Libraries¶ In [2]: import numpy as np Read CSV¶ In [3]: data = np.genfromtxt('Suicidesindia2001-2012.csv',delimiter=',',dtype=str) data Out[3]: array([['State', 'Year', 'Type_code', ..., 'Gender', 'Age_group', 'Total'], ['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'], ['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'], ..., ['West …

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NumPy Linear Algebra

NumPy Linear Algebra

12 – Linear Algebra In [2]: import numpy as np In [3]: arr1 = np.random.rand(5,5) arr2 = np.random.rand(5,5) matrix multiplication¶ In [4]: print(arr1.dot(arr2)) # or print(np.dot(arr1, arr2)) # or print(arr1 @ arr2) [[1.46213797 0.92819395 1.86768291 1.71630055 1.03009096] [0.70493158 0.59210137 0.7917084 0.67533243 0.50914254] [0.99434061 0.95996127 1.14626579 1.26914393 1.12927532] [1.30237643 1.02029515 1.88921114 1.612508 1.02978894] [1.10846544 …

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NumPy Set Operations

NumPy Set Operations

11 – Set Operations Numpy Set Operations¶ In [1]: import numpy as np select the unique elements from an array¶ In [2]: arr = np.array([1,1,2,2,3,3,4,5,6]) print(np.unique(arr)) [1 2 3 4 5 6] In [3]: # return the number of times each unique item appears arr = np.array([1,1,2,2,3,3,4,5,6]) uniques, counts = np.unique(arr, return_counts=True) print(uniques) …

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