AWS Chapter 9 Flashcards

1
Q

AWS Cloud Adoption Framework

A

organizes guidance into 6 areas of focus, called Perspective

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2
Q

6 areas of focus for AWS CAF

A

Business, People, Governance, Platform, Security, Operations

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3
Q

Business Perspective

A

ensures that IT aligns with business need, I.E Managers etc

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4
Q

People Perspective

A

supports development of an org with change mgmt, I.E HR/Staffing

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5
Q

Governance Perspective

A

Focus on the skills and processes to align IT and business strat, I.E CIO, Program Manasgers

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6
Q

Platform Perspective

A

principles and pattersn for implementing new solutions on the cloud, I.E CTO, IT managers

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7
Q

Security Perspective

A

ensures the org meets security objectives, I.E CISO, IT security managers

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8
Q

Operations Perspective

A

Hels you enable, run, use, operation IT workloads, I.E IT operations managers

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9
Q

Migration Strategies

A

Rehosting, Replatforming, Refactoring, Repurchasing, Retaining, Retiring

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10
Q

Rehosting Strategy

A

lift and shift, moving apps without changes

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11
Q

Replatforming Strategy

A

lift and tinker, making a few optimizations

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12
Q

Refactoring Strategy

A

reimagining how an app is architectured and developed

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13
Q

Repurchasing Strategy

A

moving from a traditional license to a SaaS model

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14
Q

Retaining Strategy

A

keeping an app that is crucial for business in the source environment

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15
Q

Retiring Strategy

A

removing apps that are no longer needed

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16
Q

AWS Snow Family

A

Snowcone, Snowball, Snowmobile, used to physically transport data in/out of AWS

17
Q

Snowcone

A

Small, rugged, edge compute/data transfer service, 2 cpu 8tb storage

18
Q

Types of Snowball Devices

A

Snowball edge storage optimized, Snowball edge compute optimized

19
Q

Snowball edge storage optimized

A

suited for large scale data migrations, 80 tb HDD, 1TB SSD, 40 vCPUs, 80GIB

20
Q

Snowball edge compute optimized

A

powerful computing resources for machine learning, 40 TB HDD, 7.68 TB SSD, 52 vCPU, 208GIB

21
Q

Snowmobile

A

move large amounts of data to AWS, 45 foot rugged shipping container pulled by a semi

22
Q

Serverless applications

A

servers you don’t need to provision, maintain, or administer

23
Q

Amazon Transcribe

A

convert speech to text

24
Q

Amazon Comprehend

A

discover patterns in text

25
Q

Amazon Fraud Detector

A

detect fraud online activities

26
Q

Amazon Lex

A

build voice and chatbots

27
Q

Amazon SageMaker

A

removes challenges from machine learning, deploy models quickly