Section 14: Automation Flashcards

1
Q

Orchestration

A

Automation of multiple steps in a process. It’s the automation of automations.

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2
Q

Rapid elasticity would not be possible without

A

Orchestration

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3
Q

What are the three types of Orchestration?

A

Resource, Workload, and Service

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4
Q

Continuous Integration Workflow

A

A software development method where code updates are tested and committed to a development or build server/code repository; can test and commit updates multiple times per day; detects and resolves development conflicts early and often

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5
Q

Continuous Delivery

A

You have to do continuous integration in order to do this. A software development method where application and platform requirements are frequently tested and validated for immediate availability. Focused on automated testing of code getting it READY for release.

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6
Q

Continuous Deployment

A

A software development method where application and platform updates are committed to production rapidly. Automated testing and release of code in order to get it into the production environment more quickly.

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7
Q

DevOps

A

An organization culture shift that combines software development and systems operations by referring to the practice of integrating the two disciplines within a company

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8
Q

DevSecOps

A

A combination of software development, security, operations, and systems operations by integrating each discipline with the others.

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9
Q

Infrastructure as Code (IaC)

A

A provisioning architecture in which deployment of resources is performed by scripted automation and orchestration

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10
Q

What are the three main areas of IaC?

A

Templates, Scripts, and Policies

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11
Q

Snowflake Systems

A

Any system that is different in its configuration compared to a standard template within an infrastructure as code architecture

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12
Q

Idempotence

A

A property of IaC that an automation or orchestration action always produces the same result, regardless of the component’s previous state

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13
Q

Artificial Intelligence (AI)

A

The science of creating machines with the ability to develop problem solving and analysis strategies without significant human direction or intervention.

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14
Q

Machine Learning (ML)

A

A component of AI that enables a machine to develop strategies for solving a task given a labeled dataset where features have been manually identified but without further explicit instructions

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15
Q

Artificial Neural Network (ANN)

A

An architecture of input, hidden, and output layers that can perform algorithmic analysis of a dataset to achieve outcome objectives

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16
Q

Deep Learning

A

A refinement of machine learning that enables a machine to develop strategies for solving a task given a labeled dataset and without further explicit instructions