Masterset Flashcards

(69 cards)

1
Q

What is blockchain technology?

A

A distributed ledger of time-stamped transaction blocks maintained across synchronized nodes.

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2
Q

What are nodes?

A

Connected computers that store the full blockchain and validate transactions.

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3
Q

What is a distributed ledger?

A

A shared database existing across multiple nodes, not in one central location.

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4
Q

What is a hash function?

A

A cryptographic function producing a unique fixed-length output; any input change alters the hash.

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5
Q

How are hash functions used in blockchain?

A

They generate unique values linking blocks together securely.

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6
Q

What is Proof of Work?

A

A consensus method requiring nodes to solve complex math problems to validate blocks.

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7
Q

What is Proof of Stake?

A

A consensus method selecting validators based on how much stake they hold.

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8
Q

What is Proof of Elapsed Time?

A

A consensus method where nodes wait for a random amount of time to validate a block.

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9
Q

What enables transaction initiation and broadcast?

A

Asymmetric encryption and digital signatures.

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10
Q

What is a digital signature?

A

An encrypted form of electronic ID used to authenticate senders.

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11
Q

Is blockchain secure?

A

Generally yes, unless someone gains majority control of nodes (51% attack).

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12
Q

What is a 51% attack?

A

An attack where someone controlling most nodes can change or remove transactions.

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13
Q

Blockchain applications?

A

Cryptocurrency, smart contracts, digital identity, NFTs, medical records, supply chain authenticity.

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14
Q

Types of blockchain networks?

A

Public, private, consortium, and hybrid blockchains.

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15
Q

Value creation with blockchain?

A

Reduces uncertainty via immutable, shared, trusted transaction records.

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16
Q

What is data analytics?

A

Collecting, organizing, and analyzing data to discover patterns and create actionable decisions.

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17
Q

What does data analytics help businesses do?

A

Understand data, identify important data, and support data-driven decision-making.

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18
Q

Benefits of data analytics?

A

Increased efficiency, improved operations, enhanced customer retention.

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19
Q

Examples of data analytics in companies?

A

Walmart (hurricanes & Pop-Tarts), Osco Drug (beer & diapers), Target (targeted ads).

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20
Q

Three-legged stool of data analytics?

A

Technology acumen, business acumen, statistics acumen.

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21
Q

Types of analytics?

A

Descriptive, predictive, prescriptive analytics.

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22
Q

Descriptive analytics?

A

Explains what has happened using historical data.

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23
Q

Predictive analytics?

A

Uses past data to predict future outcomes.

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24
Q

Prescriptive analytics?

A

Uses descriptive and predictive analytics to propose optimal actions.

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25
Predictive analytics examples?
Starbucks store placement; FedEx forecasting customer responses.
26
Google case question?
Do managers matter?
27
How did Google collect manager data?
Performance reviews and employee surveys evaluating top vs bottom quartiles.
28
Google findings about managers?
Significant differences in productivity, happiness, and turnover.
29
Challenges in data analytics?
Big data volume, structured vs unstructured data, data silos.
30
What is data visualization?
Graphically displaying information to reveal insights.
31
Data visualization tools?
Tableau, Power BI, QlikView.
32
What can Tableau do?
Sort, highlight, filter data, reveal trends and outliers.
33
Problem quantum computing solves?
Classical computers face limits from Moore’s Law and linear processing; quantum computing tackles complex problems.
34
Difference between bits and qubits?
Bits are 0 or 1; qubits can be 0, 1, or both through superposition.
35
What is superposition?
A qubit being in multiple states simultaneously, enabling exponential processing.
36
What is entanglement?
Linked quantum states where measuring one affects the other.
37
Quantum computing challenge?
Error rates and decoherence.
38
Business use: Finance
Portfolio optimization, fraud detection.
39
Business use: Insurance
Risk analysis, product valuation.
40
Business use: Energy
Usage predictions and optimization.
41
Business use: Transportation
Autonomous vehicles, traffic optimization.
42
Business use: Logistics
Supply chain optimization.
43
Business use: Pharma/Chemicals
Drug discovery, R&D.
44
Business use: Cybersecurity
Secure cryptographic methods.
45
Business use: Technology
AI improvement, database processing.
46
Value creation with quantum computing?
Reduces uncertainties businesses face and accelerates discovery.
47
What is a drone?
A pilotless radio-controlled aircraft.
48
Drone capabilities?
Agriculture, inspections, temporary cell connection, deliveries, food, military.
49
Drone benefits?
Faster, cheaper, safer, more frequent tasks, increased data gathering.
50
Drone economic outlook?
~170k commercial drones sold in 2019; $13B spent 2016–2020; $127B cost savings potential.
51
Definition of a robot?
A machine performing mechanical tasks or operating automatically with humanlike skill.
52
What can robots do? (repetitive)
Floor scrubbing, inventory scanning.
53
What can robots do? (dangerous)
Military tasks, space exploration, manufacturing.
54
What can robots do? (personal)
Personal care, home assistance, entertainment.
55
Future workforce impact?
Up to 800M jobs displaced by 2030; 55% more time using technical skills.
56
Skill half-life?
Declined from 26 years to ~4.5 years.
57
How to robot-proof your career?
Develop technical literacy, data literacy, and human literacy like creativity, empathy, cultural agility.
58
Career advice?
Constantly update your skills.
59
Only practical application of blockchain is crypto (T/F)
False
60
Blockchain provides a simple way for any kind of transaction (T/F)
True
61
Understanding KPIs helps businesses…
Investigate trends, predict outcomes, discover insights.
62
Data isn’t helpful unless you know the question (T/F)
True
63
Classical computing solves really hard problems (T/F)
False
64
Silicon-based quantum devices 99% error free?
True (per prep material).
65
Why Walmart uses robots?
Assist customers, reduce turnover, manage rising costs.
66
Data literacy?
Ability to navigate machine-generated information.
67
Responsible tech use question?
Answer should apply course tech to personal objectives.
68
Professor feedback: What did he do well?
Open response.
69
Professor feedback: What can he improve?
Open response.