Migration and Innovation Flashcards

1
Q

AWS Cloud Adoption Framework: Business

A

Ensures that IT aligns with business needs and that investments link to key business results
Roles include business and finance mgrs, budget owners, strategy stakeholders

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2
Q

AWS Cloud Adoption Framework: People

A

Supports development of an org-wide change mgmt strategy for successful cloud adoption
Evaluate org structures and roles, new skill and process reqs, and identify gaps
Roles include HR, staffing and people managers

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3
Q

AWS Cloud Adoption Framework: Governance

A

Focuses on the skills and processes to align IT strategy with business strategy, ensuring you maximize business value and minimize risks
Roles include CIO, program managers, enterprise architects, business analysts, portfolio managers

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4
Q

AWS Cloud Adoption Framework: Platform

A

Design, implement and optimize your infrastructure based on business goals and perspectives
Includes principles and patterns for implementing new solutions on the cloud, and migrating on-prem workloads to the cloud
Roles include CTO, IT managers, solutions architects

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5
Q

AWS Cloud Adoption Framework: Security

A

Ensure the org meets security objectives for visibility, auditability, control, and agility
Roles include CISO, IT security managers, security analysts

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6
Q

AWS Cloud Adoption Framework: Operations

A

Helps you to enable, run, use, operate, and recover IT workloads to the level agreed upon with your business stakeholders
Define how day to day, quarter to quarter, and year to year business is conducted
Align with and support the operations of the business
Define current operating procedures and identify the process changes and training needed to implement successful cloud adoption
Roles include operations managers, IT support managers

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7
Q

Rehosting

A

“lift and shift”, move applications without changes, no optimizations, scale quickly to meet a business case

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8
Q

Replatforming

A

“lift, tinker, and shift”, involves making a few cloud optimizations, no new dev efforts, optimization is achieved without changing the core architecture

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9
Q

Refactoring/Re-Architecting

A

reimagining how an application is architected and developed using cloud-native features. Driven by a strong business need to add features, scale, or performance that would otherwise be difficult to achieve in the application’s existing environment

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10
Q

Repurchasing

A

involves moving from a traditional license to a software-as-a-service model
A business might choose to implement by migrating from a CRM system to Salesforce

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11
Q

Retaining

A

keeping applications that are critical for the business in the source environment. Might include applications that require major refactoring before they can be migrated, or, work that can be postponed until a later time

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12
Q

Retiring

A

the process of removing applications that are no longer needed

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13
Q

AWS Snowcone

A

small, rugged, secure edge computing and data transfer device
2 CPUs, 4 GB of memory, 8 TB usable storage

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14
Q

AWS Snowball Edge Storage Optimized

A

devices are well suited for large-scale data migrations and recurring transfer workflows, in addition to local computing with higher capacity needs.
Storage: 80 TB of hard disk drive (HDD) capacity for block volumes and Amazon S3 compatible object storage, and 1 TB of SATA solid state drive (SSD) for block volumes.
Compute: 40 vCPUs, and 80 GiB of memory to support Amazon EC2 sbe1 instances (equivalent to C5).

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15
Q

AWS Snowball Edge Compute Optimized

A

provides powerful computing resources for use cases such as machine learning, full motion video analysis, analytics, and local computing stacks.
Storage: 42-TB usable HDD capacity for Amazon S3 compatible object storage or Amazon EBS compatible block volumes and 7.68 TB of usable NVMe SSD capacity for Amazon EBS compatible block volumes.
Compute: 52 vCPUs, 208 GiB of memory, and an optional NVIDIA Tesla V100 GPU. Devices run Amazon EC2 sbe-c and sbe-g instances, which are equivalent to C5, M5a, G3, and P3 instances.

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16
Q

AWS Snowmobile

A

an exabyte-scale data transfer service used to move large amounts of data to AWS.
You can transfer up to 100 petabytes of data per Snowmobile, a 45-foot long ruggedized shipping container, pulled by a semi trailer truck.

17
Q

Amazon AI Tools

A

Transcribe: speech to text
Comprehend: discover patterns in text
Fraud Detector: identify potentially fraudulent online activities
Lex: voice and text chatbots

18
Q

Amazon SageMaker

A

allows you to build, train, and deploy machine learning models quickly
Use to analyze data, solve complex problems, and predict outcomes