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AWS Final Exam > Module 9 - Migration and Innovation > Flashcards

Module 9 - Migration and Innovation Flashcards

1
Q

Perspectives

A

AWS Cloud Adoption Framework (AWS CAF) organises guidance into six areas of focus

• Each Perspective addresses distinct responsibilities.
o Planning process helps right people across organisation prepare for changes ahead.

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2
Q

Business capabilities

A

Business, people and governance perspectives

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3
Q

Technical capabilities

A

Platform, security and operations perspectives

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4
Q

Business perspective

A

 Ensures IT aligns with business needs and IT investments link to key business results.
 Create strong business case for cloud adoption and prioritise cloud adoption initiatives.
 Ensure that your business strategies and goals align with your IT strategies and goals.

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5
Q

Business perspective common roles

A

Business managers
Finance managers
Budget owners
Strategy stakeholders

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6
Q

People perspective

A

Supports development of organisation-wide change management strategy for successful cloud adoption.

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7
Q

People perspective common roles

A

Human resources
Staffing
People managers

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8
Q

People perspective used to:

A

Evaluate organisational structures and roles

New skill and process requirements

Identify gaps

Helps prioritise training, staffing, organisational changes.

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9
Q

Governance perspective

A

 Focuses on skills and processes to align IT strategy with business strategy.
 Ensures you maximise business value and minimise risks.
 Use to understand how to update staff skills and processes necessary to ensure business governance in cloud.
 Manage and measure cloud investments to evaluate business outcomes.

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10
Q

Governance perspective common roles

A
  • Chief Information Officer (CIO).
  • Program managers.
  • Enterprise architects.
  • Business analysts.
  • Portfolio managers.
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11
Q

Platform perspective

A

 Includes principles and patterns for:
• Implementing new solutions on cloud.
• Migrating on-premises workloads to cloud.

 Use variety of architectural models to understand and communicate structure of IT systems and their relationships.

 Describe architecture of target state environment in detail.

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12
Q

Platform perspective common roles

A
  • Chief Technology Officer (CTO).
  • IT managers.
  • Solutions architects.
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13
Q

Security perspective

A 
	Ensures organisation meets security objectives for:
•	Visibility.
•	Auditability.
•	Control.
•	Agility.

 Use AWS CAF to structure selection and implementation of security controls that meet organisation’s needs.

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14
Q

Security perspective common roles

A
  • Chief Information Security Officer (CISO).
  • IT security managers.
  • IT security analysts.
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15
Q

Operations perspective

A

 Helps you to enable, run, use, operate and recover IT workloads to 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 operations of business.
 AWS CAF helps stakeholders define current operating procedures and identify process changes and training needed to implement successful cloud adoption.

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16
Q

Operations perspective common roles

A
  • IT operations managers.

* IT support managers.

17
Q

6 strategies for migration

A 
Rehosting
Replatforming
Refactoring/re-architecting
Repurchasing
Retaining
Retiring
18
Q

Rehosting

A

Also known as “lift-and-shift” involves moving applications without changes.

19
Q

Replatforming

A

Also known as “lift, tinker and shift”.

o Involves making few cloud optimisations to realise tangible benefit.

o Optimisation achieved without changing core architecture of application.

20
Q

Refactoring/re-architecting

A

o Involves reimagining how application is architected and developed by using cloud-native features.

o Driven by strong business need to add features, scale or performance that would be difficult to achieve in application’s existing environment.

21
Q

Repurchasing

A

o Moving from traditional license to software-as-a-service model.

o E.g. migrating from customer relationship management (CRM) system to Salesforce.com

22
Q

Retaining

A

o Keeping applications that are critical for business in source environment.

o Might include applications that require major refactoring before they can be migrated or work postponed until later time.

23
Q

Retiring

A

Process of removing applications no longer needed

24
Q

Conditions to drive innovation with AWS (3):

A

Current state
Desired state
Problems you are trying to solve

25
Q

Innovate with AWS Services

A

Serverless applications
Artificial intelligence
Machine learning

26
Q

Serverless applications

A

o Serverless – applications that don’t require you to provision, maintain or administer services.

o Don’t need to worry about fault tolerance or availability.
 AWS handles capabilities for you.

o AWS Lambda example of service can use to run serverless applications.
 Design architecture to trigger Lambda functions to run your code – bypass need to manage fleet of servers.

o Building architecture with serverless applications enables developers to focus on core product instead of managing and operating servers.

27
Q

Artificial intelligence

A

o AWS offers variety of services powered by AI.

o Can perform tasks:
 Convert speech to text with Amazon Transcribe.
 Discover patterns in text with Amazon Comprehend.
 Identify potentially fraudulent online activities with Amazon Fraud Detector.
 Build voice and text chatbots with Amazon Lex.

28
Q

Machine Learning

A

o Traditional ML complex, expensive, time consuming, error prone.

o Amazon SageMaker to remove difficult work from process.
 Empower to build, train and deploy ML models quickly.

29
Q

Machine Learning used to:

A

Analyse data
Solve complex problems
Predict outcomes before they happen

30
Q

AWS Snow Family

A

Collection of physical devices that help to physically transport up to exabytes of data into and out of AWS.

31
Q

AWS Snow Family Members

A

AWS Snowcone

AWS Snowball (Snowball Edge Storage Optimised and Snowball Edge Compute Optimised)

AWS Snowmobile

32
Q

AWS Snowcone

A

o Small, rugged, and secure edge computing and data transfer device.

o Features 2 CPUs, 4 GB of memory, 8 TB of usable storage.

33
Q

AWS Snowball (Snowball Edge Storage Optimised)

A

• Well suited for large-scale data migrations and recurring transfer workflows and local computing with higher capacity needs.

34
Q

AWS Snowball (Snowball Edge Compute Optimised)

A 
•	Provides powerful computing resources for use cases:
o	Machine learning.
o	Full motion video analysis.
o	Analytics.
o	Local computing stacks.
35
Q

AWS Snowmobile

A

o Exabyte-scale data transfer service used to move large amounts of data to AWS.

o Can transfer up to 100 petabytes of data per Snowmobile.
 45-foot long ruggedized shipping container pulled by semi-trailer truck.

AWS Final Exam (50 decks)

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