Deck 4: Toward a Smarter Defense: Big Data and Risk Assessments in Homeland Security
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Deck 4: Toward a Smarter Defense: Big Data and Risk Assessments in Homeland Security
1
The 3 V's of big data refer to volume, velocity, and ______________.
A) vitality
B) veracity
C) variety
D) vacuum
A) vitality
B) veracity
C) variety
D) vacuum
C
2
Approximately, how many air passengers per day does the TSA screen?
A) 750,000
B) 1,000,000
C) 2,000,000
D) 2,700,000
A) 750,000
B) 1,000,000
C) 2,000,000
D) 2,700,000
C
3
_________ assessment is a process to identify potential threats or hazards and analyze what could happen if a threat or hazard occurs.
A) data
B) risk
C) expectation
D) transportation
A) data
B) risk
C) expectation
D) transportation
B
4
What permits government employees and contractors to review classified information?
A) Needs assessment
B) Minimum qualifications
C) Security requests
D) Security clearances
A) Needs assessment
B) Minimum qualifications
C) Security requests
D) Security clearances
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5
Which system developed in 1994 allowed Border Patrol agents to identify illegal border crossers using biometric information.
A) Automated targeting system
B) Automated biometric identification system (IDENT)
C) Customs-trade partnership against terrorism (C-TPAT)
D) Personally identifiable information (PII)
A) Automated targeting system
B) Automated biometric identification system (IDENT)
C) Customs-trade partnership against terrorism (C-TPAT)
D) Personally identifiable information (PII)
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6
Which of the following terms describes a compilation of individuals or entities that have been deemed to pose a threat based upon the analysis of derogatory information?
A) Automated Targeting
B) Operating Picture
C) Waitlist
D) Watchlist
A) Automated Targeting
B) Operating Picture
C) Waitlist
D) Watchlist
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7
Which of the following terms describes any information that permits the identity of an individual to be directly or indirectly inferred, including any other information that is linked or linkable to that individual?
A) Data Mining
B) Derogatory Information
C) Personally Identifiable Information
D) Watchlist
A) Data Mining
B) Derogatory Information
C) Personally Identifiable Information
D) Watchlist
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8
The fifteenth century saw the development of data storage on magnetic tape and the invention of early computers
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9
Big data is revolutionizing medicine and the ability to diagnose and treat patients.
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10
Risk segmentation involves the separation of low-risk cargo or people from high risk, or unknown, cargo or people.
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11
A watchlist is compilation of individuals or entities that have been deemed to pose a threat based upon the analysis of derogatory information.
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12
The use of IDENT and the CDS exemplify how big data and risk assessment can be used to inform homeland security decision-making.
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13
The industrial and economic boom that occurred during the mid-twentieth century saw the emergence of business intelligence, data centers, and the more direct ancestors of today's computers.
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14
Describe a historical period in which humans used and managed knowledge before the use of computers.
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15
Explain why information sharing was problematic in the pre-9/11 era.
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16
Which agencies are provided with information available in the Terrorist Screening Database (TSDB)?
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17
Identify some potential flaws in the Secure Flight program.
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18
Explain how homeland security programs now rely on the use of "big data".
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19
Discuss how national preparedness and resilience rely on big data.
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