Module 2: Business Drivers of Digital Transformation Flashcards

1
Q

What is cloud computing?

A

a model for on-demand network access to a shared pool of computing resources - enable rapid provisioning and minimal management

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2
Q

What are the characteristics of cloud computing?

A
  1. Measured Service
  2. On-Demand Self-Service
  3. Broad Network Access
  4. Rapid Elasticity
  5. Resource Pooling
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3
Q

What is a measured service in cloud computing?

A

automated resource measurement using metering - monitoring available for transparency to cloud provider and customer

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4
Q

What is on-demand self service in cloud computing?

A

customer can provision resources automatically without human intervention from cloud provider

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5
Q

What is broad network access in cloud computing?

A

tasks are available over the network and accessible to typical endpoints like laptops and phones

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6
Q

What is rapid elasticity in cloud computing?

A

capabilities are rapidly available to a customer at their convenience - give impression of unlimited resources

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7
Q

What is resource pooling in cloud computing?

A

cloud providers resources pooled to serve all customers - known as a multitenant model - resources changed based on demands of individual customers - customer has little knowledge of physical exact location of data - more like the state/country (broad knowledge)

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8
Q

What are the benefits to cloud computing?

A
  1. Increased Collaboration
  2. Business Agility
  3. Simplified Infrastructure Management
  4. Flexible Scaling
  5. Flexibility of Access
  6. Business Continuity
  7. Reduced IT Costs
  8. High Availability
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9
Q

What are the different cloud service models?

A

Infrastructure aaS
Platform aaS
Software aaS

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10
Q

What is infrastructure aaS?

A

Cloud provides network, servers, storage, and virtualization (physical hardware)

Customer manages apps, data, runtime, OS, middleware (software)

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11
Q

What is Platform aaS?

A

cloud provides everything except customer BYOs apps and data

basically customer deploying their applications and configuring as they like on the provider’s infrastructure

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12
Q

What is Software aaS?

A

customer utilizes app made by the provider that runs on the providers infrastructure

don’t own the management of any layer just using the app through your endpoints

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13
Q

What are the different cloud deployment models?

A

Public Cloud
Private Cloud
Hybrid Cloud
Multicloud

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14
Q

What is the main benefit of public cloud?

A

low upfront IT cost and enormous scalability

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15
Q

What are the risks of the public cloud?

A

network availability
multitenancy risks
visibility
control
restrictive default services

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16
Q

What is hybrid cloud?

A

combination of private and public cloud that are unique entities but bound by same technology - good for data/application mobility

17
Q

What are the drivers for a multicloud strategy?

A

vendor lock-in
data control
cost savings
performance

18
Q

What is cloud bursting?

A

provisioning workloads for a short time during peak seasons - can terminate this high provisioned workload once need passes

19
Q

What is Big Data?

A

information that’s high volume, velocity, and variety require specialized technical architectures to analyze for business value use cases

20
Q

What are the three principal aspects of big data?

A

Characteristics of data
Data processing nodes
Business value

21
Q

What are the characteristics of data when it comes to Big Data?

A

large datasets of both strucutured and unstructured data - changes quickly and comes from diverse sources

22
Q

What are data processing nodes when it comes to Big Data?

A

big data size exceeds storage/compute resources of traditional IT - requires highly scalable storage and innovative technologies

23
Q

What is business value when it comes to Big Data?

A

searching large datasets in near or real time for data driven decision making

24
Q

What are the three Vs of Big Data?

A

Volume (Size)
Velocity (Speed of change/growth)
Variety (Type/Format)

25
Q

What is machine learning?

A

feeding a bunch of data to algorithms that allow code to learn how to do task without being explicitly programmed how

When the machine is given a new set of data into its algorithm it adapts and learns through previous experiences

26
Q

What is the machine learning process?

A

creating mathematic algorithms that can accept input data and use analysis to predict the output

27
Q

What are the 3 types of machine learning?

A

Supervised
Unsupervised
Reinforcement

28
Q

What is supervised machine learning?

A

the model is built to make a prediction and given a collection of labeled data points

broken down into two types classification (ex: fraud identification) and regression (ex: market forecasting)

29
Q

What is unsupervised machine learning?

A

an unlabeled data set is used - (data set doesn’t exist)

broken down into two types clustering (ex: target marketing) and dimensionally reduction (ex: big data analysis)

30
Q

What is reinforcement machine learning?

A

model interacts with environment and produce results on trial and error basis - has reward and error feedback to better itself

31
Q

What is Internet of Things (IoT)?

A

ecosystem where different technologies are connected to a network and can transmit/receive data for analysis

ex: FitBit

32
Q

What are the main components of IoT?

A

Smart Things
Gateways
Middleware
Applications

33
Q

What are smart things in IoT?

A

devices that collect and analyze data

34
Q

What are gateways in IoT?

A

devices that manage data traffic between networks - can also help w/ data security

35
Q

What is middleware in IoT?

A

enables connectivity for large number of smart things to apps/sensors

36
Q

What are applications in IoT?

A

monitor and control smart things - enable connection of end point to IoT devices

37
Q

What is Edge Computing?

A

distributed computing architecture that brings compute/storage close to data origin point

38
Q

What are the features of 5G?

A

Greater Throughput
Lower Latency
Ultra High Reliability
Higher Connectivity Density
Expanded Range of Mobility