Edited, memorised or added to reading queue

on 12-Dec-2019 (Thu)

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Flashcard 4607778884876

Question
In AWS, Flow Logs allow you to see all the incoming and outgoing IP traffic for each [...] [...] attached to any of your AWS resrouces (EC2, ELB, RDS, etc)
Answer

Network Interface

^^ Network Interface = Elastic Network Interface, viewable from the EC2 console, "Networking & Security" section.


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Flashcard 4653148933388

Question
For infectious disease modelling, the uncertainty surrounding [...] may be greater than any uncertainty that arises from noise in the data
Answer
assumptions about the distributions of the latent and infectious periods

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the uncertainty surrounding assumptions about the distributions of the latent and infectious periods may be greater than any uncertainty that arises from noise in the data

Original toplevel document (pdf)

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Annotation 4670123281676

For a SSM: The state process X is often called the dynamic parameter
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For a SSM: The state process X is often called the dynamic parameter, while θ is often referred to as static parameter(s) and the observational process Y are called the measurements.

Original toplevel document (pdf)

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Annotation 4670124854540

For a SSM: θ is often referred to as static parameter(s)
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For a SSM: The state process X is often called the dynamic parameter, while θ is often referred to as static parameter(s) and the observational process Y are called the measurements.

Original toplevel document (pdf)

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Annotation 4670127213836

For a SSM: observational process Y are called the measurements
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For a SSM: The state process X is often called the dynamic parameter, while θ is often referred to as static parameter(s) and the observational process Y are called the measurements.

Original toplevel document (pdf)

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Annotation 4670129835276

The filtering distribution at time t can be expressed in terms of: a normalizing factor p(yt | y1:t−1 , θ); the, so called, measurement update p(yt | xt , θ), that is the data distribution at time t conditional on the hidden state at time t; and a prediction update p(xt | y1:t−1 , θ)
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Annotation 4670133767436

[unknown IMAGE 4670132456716] #has-images
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Flashcard 4670528032012

Question
aberrant
Answer
[default - edit me]

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Flashcard 4670529342732

Question
In AWS, [...] is a service that allows you to send messages between different application components/microservices (via a queue), where the message has some body (text) and some attributes (Name/value tags to classify the message).
Answer

SQS


^^ SQS stands for Simple Queue Service


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Flashcard 4670531439884

Question
In AWS, SQS (Simple Queue Service) is a service that allows you to send messages between different application components/microservices (via a queue), where the message has some [...] (text) and some [...] (Name/value tags to classify the message). <-- Looking for two different occulsions
Answer
Body / Attributes

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Flashcard 4670533537036

Question
In AWS, [...] is a service that provides a backend (and set of APIs that interact with the backend) that allows coordination of parallel and sequencial tasks distributed across different hosts/components (the backend stores the app state/history, holds and dispatches tasks and does other similar coordination activites).
Answer

SWF

^^ SWF stands for Simple Workflow (service)
^^^ SWF is used by amazon web store to coordinate customer order processing tasks (the automated and manual parts)


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Flashcard 4670535634188

Question
In AWS, [...] is a publisher/subscriber messaging service that allows you to create a topic and then have a publisher send a message (with subject, text and metadata tags/attributes) to the topic, where then the subcribers (EMAIL addresses, SMS numbers, and other AWS services like SQS, Lambda) to that topic will receive the message.
Answer

SNS

^^ SNS stands for Simple Notification Service


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Flashcard 4670537731340

Question
In AWS, SNS (Simple Notification Service) is a publisher/subscriber messaging service that allows you to create a [...] and then have a publisher send a message (with subject, text and metadata tags/attributes) to the [...] , where then the subcribers (EMAIL addresses, SMS numbers, and other AWS services like SQS, Lambda) to that [...] will receive the message <-- Same word for all 3 occulsions
Answer
Topic

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Flashcard 4670539828492

Question
In AWS, SNS (Simple Notification Service) is a messaging service that allows you to create a topic and then have a [...] send a message (with subject, text and metadata tags/attributes) to the topic, where then the subcribers (EMAIL addresses, SMS numbers, and other AWS services like SQS, Lambda) to that topic will receive the message.
Answer
Publisher

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Flashcard 4670541925644

Question
In AWS, SNS (Simple Notification Service) is a messaging service that allows you to create a topic and then have a publisher send a message (with subject, text and metadata tags/attributes) to the topic, where then the [...] (EMAIL addresses, SMS numbers, and other AWS services like SQS, Lambda) to that topic will receive the message
Answer
Subcribers

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Flashcard 4670544022796

Question
In AWS, [...] [...] is a service that allows you to convert media files (audio/vidio) from one format to another.
Answer
Elastic Transcoder

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Flashcard 4670546119948

Question
In AWS, [...] is a service that allows you to ingest realtime data (for realtime analysis), as it allows a fast way to add the data to a destinaton service (like S3, DynamoDB, etc) and can do data trasfomation (compression, encryption, data massaging via lambda functions) before passing data to destination.
Answer
Kinesis

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Flashcard 4670548217100

Question
In AWS, Kinesis (the streaming service that allows you to quickly ingest/transform lots of incoming data and send it to destination like S3), comes in 3 main flavors Kinesis [...] , Kinesis Firehose, and Kinesis Analytics
Answer

Stream

^^ Kinesis Firehose is easiest to use for just sending data to S3. Data is not persisted/stored long, so you need to process right away (with say lambda) and then pass on to e.g. S3.
^^^ Kinesis Stream (comes in data and video flavors) is best for cases where you need to transform the data (or do some processing on top of it with e.g.Lambda). Data is stored temporarly (1 to 7 days) in Shards, waiting for consumer (e.g. lambda) to process it (then send it to final destination).
^^^^ Kinesis Analytics allows you to run SQL queries on an existing stream (e.g. Kinesis Firehose or Stream) to get realtime analytics on the live data (e.g. get the user's last 10 minutes worth of cost accumilation/usage of your app)


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Flashcard 4670550314252

Question
In AWS, Kinesis (the streaming service that allows you to quickly ingest/transform lots of incoming data and send it to destination like S3), comes in 3 main flavors Kinesis Streams, Kinesis [...] , and Kinesis Analytics
Answer

Firehose

^^ Kinesis Firehose is easiest to use for just sending data to S3. Data is not persisted/stored long, so you need to process right away (with say lambda) and then pass on to e.g. S3.
^^^ Kinesis Stream (comes in data and video flavors) is best for cases where you need to transform the data (or do some processing on top of it with e.g.Lambda). Data is stored temporarly (1 to 7 days) in Shards, waiting for consumer (e.g. lambda) to process it (then send it to final destination).
^^^^ Kinesis Analytics allows you to run SQL queries on an existing stream (e.g. Kinesis Firehose or Stream) to get realtime analytics on the live data (e.g. get the user's last 10 minutes worth of cost accumilation/usage of your app)


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Flashcard 4670552411404

Question
In AWS, Kinesis (the streaming service that allows you to quickly ingest/transform lots of incoming data and send it to destination like S3), comes in 3 main flavors Kinesis Streams, Kinesis Firehose, and Kinesis [...]
Answer

Analytics

^^ Kinesis Firehose is easiest to use for just sending data to S3. Data is not persisted/stored long, so you need to process right away (with say lambda) and then pass on to e.g. S3.
^^^ Kinesis Stream (comes in data and video flavors) is best for cases where you need to transform the data (or do some processing on top of it with e.g.Lambda). Data is stored temporarly (1 to 7 days) in Shards, waiting for consumer (e.g. lambda) to process it (then send it to final destination).
^^^^ Kinesis Analytics allows you to run SQL queries on an existing stream (e.g. Kinesis Firehose or Stream) to get realtime analytics on the live data (e.g. get the user's last 10 minutes worth of cost accumilation/usage of your app)


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Flashcard 4670554508556

Question
In AWS, for Kinesis (the streaming service that allows you to quickly ingest/transform lots of incoming data and send it to destination like S3, DynamoDB, etc), Kinesis [...] is easiest to use for just sending data to S3, with no persistance/storage (i.e. data needs to be processed right away and sent to destination, e.g. S3)
Answer
Firehose

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Flashcard 4670556605708

Question
In AWS, for Kinesis (the streaming service that allows you to quickly ingest/transform lots of incoming data and send it to destination like S3, DynamoDB, etc), Kinesis [...] is best for cases where you need to transform the data (or do some processing on top of it with e.g. Lambda), before sending it to final destination. Data is stored temporarily (1 to 7 days) in Shards waiting processing (from e.g. Lambda)
Answer
Streams

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Flashcard 4670558702860

Question
In AWS, for Kinesis (the streaming service that allows you to quickly ingest/transform lots of incoming data and send it to destination like S3, DynamoDB, etc), Kinesis [...] allows you to run SQL queries on an existing stream (e.g. Kinesis Firehose or Stream) to get realtime insights on the live data (e.g. get the user's last 10 minutes worth of cost accumilation/usage of your app)
Answer
Analytics

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