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NEW QUESTION: 1
How can you calculate the Annualized Loss Expectancy (ALE) that may occur due to a threat?
A. Exposure Factor (EF)/Single Loss Expectancy (SLE)
B. Single Loss Expectancy (SLE)/ Exposure Factor (EF)
C. Single Loss Expectancy (SLE) X Annualized Rate of Occurrence (ARO)
D. Asset Value X Exposure Factor (EF)
Answer: C
Explanation:
The Annualized Loss Expectancy (ALE) that occurs due to a threat can be calculated by multiplying the Single Loss Expectancy (SLE) with the Annualized Rate of Occurrence (ARO). Annualized Loss Expectancy (ALE) = Single Loss Expectancy (SLE) X Annualized Rate of Occurrence (ARO) Annualized Rate of Occurrence (ARO) is a number that represents the estimated frequency in which a threat is expected to occur. It is calculated based upon the probability of the event occurring and the number of employees that could make that event occur. Single Loss Expectancy (SLE) is the value in dollars that is assigned to a single event. SLE can be calculated by the following formula: SLE = Asset Value ($) X Exposure Factor (EF) The Exposure Factor (EF) represents the % of assets loss caused by a threat. The EF is required to calculate Single Loss Expectancy (SLE).

NEW QUESTION: 2
The PRIMARY goal of a post-incident review should be to:
A. establish the cost of the incident to the business.
B. identify policy changes to prevent a recurrence.
C. determine why the incident occurred.
D. determine how to improve the incident handling process.
Answer: B

NEW QUESTION: 3
You are using Google BigQuery as your data warehouse. Your users report that the following simple query is running very slowly, no matter when they run the query:
SELECT country, state, city FROM [myproject:mydataset.mytable] GROUP BY country You check the query plan for the query and see the following output in the Read section of Stage:1:

What is the most likely cause of the delay for this query?
A. Most rows in the [myproject:mydataset.mytable]table have the same value in the country column, causing data skew
B. Users are running too many concurrent queries in the system
C. Either the state or the city columns in the [myproject:mydataset.mytable]table have too many NULL values
D. The [myproject:mydataset.mytable] table has too many partitions
Answer: B