Part 3 Flashcards

1
Q

Azure IoT Central

A

Very similar for IoT Hub, but a delivery platform for IoT
- SaaS
- Companies can use pre-built templates for their IoT devices without needing to know the code on it
- Built ontop of IoT Hub

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2
Q

IoT Hub

A

Takes data from IoT and gain analysis or insight into them
- PaaS
- Secure/scalable/reliable

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3
Q

Azure Sphere

A

Allows you to build secure IoT network
- Devices have a chip and then the Sphere connents to it making sure it has the latest patch
- made to build secure IoT solutions

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4
Q

Azure Synapse Analytics

A

Used to ingest -> trasnform -> store - Serve data
- Has data stored in Data Lake Storage Gen 2 that then
- Apache Spark/Synapse SQL takes, feeds it into a pipeline that Azure Synapse Studio manages
- PaaS

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5
Q

Big Data

A

large or complex to deal with
- velocity - how fast we are getting it
- volume - how large the data is
- variety - what type of data format it is
VVV

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6
Q

What does Apache Spark do

A

efficently take in large data sets and transform them into usable data

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7
Q

What does Synapse SQL do?

A

Process data

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8
Q

What is Synapse pipeline?

A

Data factory

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9
Q

Studio

A

Takes all the Synapse features and makes it a easy to use unified experience

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10
Q

Azure HDInsight

A
  • PaaS
  • Allows you to use many of the data transfer third party tools to manage data
  • Open source analytic service
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11
Q

Azure Databricks

A

Like Azure HDInsight but uses Apache Spark solely for data analysit
- Provide unified noteboook for data transformation and collaborative analytics
- Based on Spark
- PaaS
- integrates very well with common Azure services

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12
Q

Azure Machine Learning

A

Used to train, package, validate, deploy, monitor, repeat
- Azure provides us with allowing us to do this and train our AI
- Feature of pipelines/auto ML
- PaaS

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13
Q

Serverless Computing

A

Hosting what you would typically run on your own server but in the cloud

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14
Q

Azure Functions

A

Allows users to make apps with small functions(code), package it and ship it
- Serverless coding platform
- Function as a Service (FaaS)

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15
Q

Azure Logic Apps

A

Used to build workflows
- condtions, loops, or triggers based on events

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16
Q

Azure Event Grid

A

Fully managed serverless event routing service
- scalable event routing service for integration and near-real time applications

17
Q

DevOps

A

Combine Development and operations

18
Q

What is the goal of DevOps?

A

Shorten the development life cycle by providing continous integration and delivery (CI/CD) while ensuring high quality of deliverables

19
Q

Azure DevOps

A

Helps us create boards (shows us Development areas, testing areas, and finished products)
- show us repos and different versions of the product
- Create pipelines to automate builds
- Share artifacts
- test plans - extend with marketplace

20
Q

Goal of Azure DevOps

A

Tools provided by Azure to make DevOps easier

21
Q

Azure DevTest Labs

A

Gives users the ability to quickly create VMs to test things then destory it once its done
- Basically a sandbox to test out tools
- Admin can provide configuration settings

22
Q

Azure Portal

A

Allows us to connect to Azure
- web-based interface

23
Q

Azure PowerShell

A

Access Azure through the terminal for quick automation
- can be used in any OS that supports PowerShell
- more used for windows

24
Q

Azure CLI

A

Azure Command Line Interface
- same as Azure PowerShell (might be prefered by Linux users)

25
Q

Cloud Shell

A

A Shell/CLI on the web
- you can pick power shell or CLI, bash, etc…
- completely free