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AWS Machine Learning Engineer Associate > Machine Learning Eng Assoc 3 AWS AI Services > Flashcards

Machine Learning Eng Assoc 3 AWS AI Services Flashcards

1
Q

Artificial Intelligence

A

Computer systems performing human-like intelligent tasks

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2
Q

Machine Learning

A

A subset of AI that uses algorithms to learn from data and make predictions

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3
Q

Deep Learning

A

A subset of machine learning based on artificial neural networks

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4
Q

Natural Language Processing

A

AI technology that enables machines to understand; interpret; and generate human language

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5
Q

Computer Vision

A

AI technology that enables machines to interpret and understand visual information from the world

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6
Q

Amazon Comprehend

A

Fully managed natural language processing service for text analysis

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7
Q

Amazon Translate

A

Neural machine translation service for language translation

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8
Q

Amazon Transcribe

A

Automatic speech recognition service for converting speech to text

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9
Q

Amazon Polly

A

Text-to-speech service that uses deep learning to synthesize natural-sounding speech

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10
Q

Amazon Rekognition

A

Computer vision service for image and video analysis

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11
Q

Amazon Forecast

A

Fully managed service that uses machine learning for time-series forecasting

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12
Q

Amazon Lex

A

Service for building conversational interfaces using voice and text

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13
Q

Amazon Personalize

A

Machine learning service for creating personalized product recommendations

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14
Q

Amazon Textract

A

Service that automatically extracts text; handwriting; and data from scanned documents

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15
Q

Amazon Kendra

A

Intelligent search service powered by machine learning

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16
Q

Amazon Augmented AI (A2I)

A

Service that makes it easy to build workflows for human review of machine learning predictions

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17
Q

Amazon SageMaker

A

Fully managed machine learning platform for building; training; and deploying models

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18
Q

Amazon EC2

A

Elastic Compute Cloud service for scalable computing capacity

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19
Q

AWS Trainium

A

Custom machine learning chips designed for training deep learning models

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20
Q

AWS Inferentia

A

Custom machine learning chips designed for high-performance inference

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21
Q

Amazon Bedrock

A

Fully managed service for building generative AI applications with foundation models

22
Q

Amazon Q Business

A

Generative AI-powered assistant for business use cases

23
Q

Amazon Q Developer

A

AI-powered coding assistant for software development

24
Q

Amazon Q Apps

A

Tool for creating Gen AI-powered apps without coding using natural language

25
Q

Feature Engineering

A

Process of selecting; transforming; and creating features to improve model performance

26
Q

Model Training

A

Process of teaching a machine learning model to make predictions based on data

27
Q

Hyperparameter Tuning

A

Process of finding the optimal set of hyperparameters for a machine learning model

28
Q

Model Evaluation

A

Process of assessing the performance and effectiveness of a trained model

29
Q

Model Deployment

A

Process of making a trained machine learning model available for use in a production environment

30
Q

Model Monitoring

A

Continuous observation and analysis of a deployed model’s performance and behavior

31
Q

Data Drift

A

Changes in the statistical properties of the input data over time

32
Q

Concept Drift

A

Changes in the relationship between input and output variables in the underlying problem

33
Q

A/B Testing

A

Experimental approach to compare two versions of a model or system

34
Q

CI/CD

A

Continuous Integration and Continuous Delivery; practices for automating software delivery processes

35
Q

IAM

A

Identity and Access Management; AWS service for managing access to AWS resources

36
Q

Security Group

A

Virtual firewall for controlling inbound and outbound traffic to AWS resources

37
Q

Amazon S3

A

Simple Storage Service; object storage service in AWS

38
Q

Amazon EFS

A

Elastic File System; fully managed file storage service for use with AWS cloud services and on-premises resources

39
Q

Amazon Kinesis

A

Platform for streaming data on AWS

40
Q

AWS Glue

A

Fully managed extract; transform; and load (ETL) service

41
Q

AWS Lambda

A

Serverless compute service that runs code in response to events

42
Q

Amazon DynamoDB

A

Fully managed NoSQL database service

43
Q

MLOps

A

Application of DevOps principles to machine learning workflows

44
Q

AWS CodePipeline

A

Fully managed continuous delivery service for automating ML workflows

45
Q

Spot Instances

A

Cost-effective option for running fault-tolerant ML training jobs

46
Q

Auto Scaling

A

Automatically adjusting compute resources based on ML workload demands

47
Q

AWS Cost Explorer

A

Tool for visualizing and managing AWS costs; including ML-related expenses

48
Q

Right-sizing

A

Matching instance types and sizes to ML workload requirements for cost optimization

49
Q

Data Encryption

A

Process of encoding ML-related data to protect sensitive information

50
Q

GDPR

A

General Data Protection Regulation; EU law on data protection and privacy

51
Q

HIPAA

A

Health Insurance Portability and Accountability Act; US law for data privacy in healthcare

52
Q

Version Control

A

System for tracking and managing changes to ML code; models; and datasets

AWS Machine Learning Engineer Associate (7 decks)

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