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GIAC Machine Learning Engineer

Domain 1Objective 3

Probability and Frequency GMLE Practice Questions (Page 5)

Part of the Foundational Data Science and Statistics domain, which makes up ~41% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~29–49 in this domain), expect 7–12 from this objective — we provide 46 practice questions to prepare you well beyond it. (estimate)

46questions here
10free pages
7concepts

Questions 21–25

  1. 21expert · medium

    A spam filter uses a Bayesian classifier. The prior probability that an email is spam is 0.2. The filter observes that an email contains the word 'free'. The probability of seeing 'free' given spam is 0.6, and given not spam is 0.1. What is the posterior probability that the email is spam given that it contains 'free'?

    Select an answer first
  2. 22expert · hard

    A data scientist is modeling the time between customer arrivals at a service desk. The arrivals follow a Poisson process with an average rate of 10 customers per hour. What is the expected time between arrivals?

    Select an answer first
  3. 23application · medium

    A logistics company is evaluating two delivery routes. Route A has a delivery time that is uniformly distributed between 20 and 40 minutes. Route B has a delivery time that is normally distributed with a mean of 30 minutes and a standard deviation of 5 minutes. Which route has a higher expected delivery time?

    Select an answer first
  4. 24application · medium

    A security operations center uses an intrusion detection system (IDS) that flags 5% of all network sessions. Historical data shows that when a session is a genuine attack, the IDS flags it 99% of the time. Only 0.1% of all sessions are genuine attacks. A session is flagged by the IDS. What is the probability that this session is a genuine attack?

    Select an answer first
  5. 25application · medium

    A fraud detection team analyzes transaction data. Among all transactions, 2% are fraudulent. Among fraudulent transactions, 60% occur from foreign IP addresses. Among non-fraudulent transactions, 10% occur from foreign IP addresses. What is the probability that a transaction is fraudulent given that it originates from a foreign IP address?

    Select an answer first
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