AWS Machine Learning and Data Integration Overview, Exams of Advanced Education

An overview of aws machine learning, data integration, and streaming services. It covers key services such as amazon sagemaker, amazon kendra, amazon rekognition, and amazon textract, explaining their functionalities and applications. The document also discusses data integration and etl processes, highlighting aws glue and amazon kinesis for real-time data streaming. It serves as a concise guide to understanding and utilizing aws for machine learning and data management tasks, offering insights into various services like amazon athena, amazon emr, and amazon quicksight for data analysis and visualization. Useful for students and professionals looking to understand the basics of machine learning and data integration using aws cloud services. It provides a high-level overview of each service, making it easier to grasp the core concepts and applications.

Typology: Exams

2024/2025

Available from 08/19/2025

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AWS MACHINE LEARNING, DATA
INTEGRATION AND STREAMING
TEST 2025
Machine Learning (ML)
application or subset of AI that allows machines to learn from data without
being programmed to do so. learns pattern recognition based on a training set of
data.
Amazon Sagemaker
Fully managed service that lets data scientists and developers build, train, and
deploy ML models in the cloud. Provides built in algorithms and one-click
deployment.
Amazon Kendra
Intelligent search service that is powered by ML in the AWS cloud. Great for
streamlining internal search processes for large knowledge/information
repositories
Amazon Rekognition
Fully managed service that uses ML to analyze and detect objects, scenes, and
faces in images and videos. Can compare faces, recognize emotions, and track
individuals.
Amazon Textract
Designed to extract data from various types of documents. Capable of
understanding content layout and structure (forms, tables, etc). Can handle
millions of document pages in just a few hours.
Amazon Polly
Text to speech service that produces lifelike voiceovers from text-based data
inputs
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AWS MACHINE LEARNING, DATA

INTEGRATION AND STREAMING

TEST 2025

Machine Learning (ML) application or subset of AI that allows machines to learn from data without being programmed to do so. learns pattern recognition based on a training set of data. Amazon Sagemaker Fully managed service that lets data scientists and developers build, train, and deploy ML models in the cloud. Provides built in algorithms and one-click deployment. Amazon Kendra Intelligent search service that is powered by ML in the AWS cloud. Great for streamlining internal search processes for large knowledge/information repositories Amazon Rekognition Fully managed service that uses ML to analyze and detect objects, scenes, and faces in images and videos. Can compare faces, recognize emotions, and track individuals. Amazon Textract Designed to extract data from various types of documents. Capable of understanding content layout and structure (forms, tables, etc). Can handle millions of document pages in just a few hours. Amazon Polly Text to speech service that produces lifelike voiceovers from text-based data inputs

Amazon Transcribe Converts audio or video-based speech content into text. Amazon Translate Neural machine translation service that is capable of translating text from one language to another. Amazon Lex Enables the creation of sophisticated, natural language chatbots. Builds conversational interfaces, comprehends intent, and can be integrated with other AWS services Amazon Comprehend Uses ML to uncover insights and relationships within any text provided to the system. Amazon Athena Analyzes vast amounts of data stored in amazon S3 using standard SQL queries. Eliminates the need for complex ETL jobs. Amazon Elastic MapReduce (EMR) Cloud native platform that facilitates processing large amounts of data across resizable clusters of EC2 instances. Amazon Quicksight BI service designed to deliver insights and visualize data Data Integration and ETL Enables businesses to extract data from disparate sources, transform it into a cohesive format, and load it into target databases/data warehouses. AWS Data Exchange Designed to simplify the process of accessing or sharing data sets in the cloud. AWS Glue Service Makes it easy to move data between data stores. provides a centralized metadata repository to make ETL jobs faster and more accessible.