AWS AI Services Overview Flashcards
AWS Certified AI Practitioner AIF-C01 Flashcards
| Front | Back |
| Can Amazon Textract handle handwriting recognition | Yes, it supports extracting handwritten text in addition to printed text. |
| How does Rekognition assist with facial analysis | It can analyze faces in an image to detect demographics, emotions, and facial characteristics. |
| What advantage does Amazon Textract offer over OCR | It not only extracts text but also identifies data relationships like tables and forms. |
| What are SageMaker built-in algorithms | Pre-trained models provided by AWS for common tasks like classification, regression, and anomaly detection. |
| What does Amazon Comprehend use for language detection | It automatically identifies the language a given text is written in. |
| What is a Lexicon in Amazon Polly | A custom pronunciation dictionary to improve or customize speech output. |
| What is Amazon Rekognition | It is an AWS AI service that enables image and video analysis to detect objects, people, text, and activities. |
| What is Amazon SageMaker used for | It is a fully managed service to build, train, and deploy machine learning models at scale. |
| What is object detection in Rekognition | The capability to identify and locate objects within images and videos. |
| What is one key feature of Amazon Polly | It converts text into lifelike speech using natural-sounding voices. |
| What is SageMaker Studio | An integrated development environment (IDE) for machine learning within SageMaker that offers tools for building, training, and debugging models. |
| What is sentiment analysis in Amazon Comprehend | It identifies the overall sentiment (positive, negative, neutral, or mixed) in text data. |
| What is Speech Marks output in Amazon Polly | It provides detailed timing information for speech segments, including pauses and phonemes. |
| What problem does Amazon Textract solve | It automates extraction of text and data from scanned documents using machine learning, replacing manual data entry. |
| What type of insights can Amazon Comprehend provide | AWS's natural language processing service extracts insights such as key phrases, sentiment, entities, and language from text. |
About the Flashcards
Flashcards for the AWS Certified AI Practitioner exam offer concise reviews of core AI and machine learning service concepts commonly tested on certification-style exams. This deck emphasizes terminology and practical functions across image and video analysis, natural language processing, document data extraction, text-to-speech capabilities, and the machine learning model lifecycle.
Use these cards to drill definitions, feature behavior, and output types such as object detection and facial analysis, sentiment and entity extraction, table and form parsing with handwriting support, pronunciation lexicons and speech timing metadata, plus built-in algorithms and integrated development tools for building, training, and deploying models.
Topics covered in this flashcard deck:
- Image and video analysis
- Facial and object detection
- Natural language processing
- Document text extraction
- Text-to-speech features
- Machine learning model lifecycle