Infosys Certified AWS AI Practitioner
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Join Premium10 Infosys Certified AWS AI Practitioner practice questions with answers
Real Lex exam-pattern multiple-choice questions for the Infosys Certified AWS AI Practitioner certification. Each question includes the correct answer. The full question bank is available to Premium members.
- Question 1
A startup company is developing AI and ML solutions by using Amazon SageMaker. For quick turnaround time, the company is looking for low-code no-code (LCNC) solution for data import, cleansing and preparation. Which SageMaker feature can the company use for data cleansing and balance with MINIMAL efforts?
- ✓SageMaker Data WranglerCorrect
- BAmazon SageMaker Canvas
- CSageMaker Ground Truth
- DSageMaker Feature Store
- Question 2
A company is developing a mobile application for visually impaired users that reads aloud content from websites, articles, and e-books. The application should provide clear and natural-sounding speech that enhances the reading experience. The application should support multiple languages and adjust the speech tone for diverse type of content. Which AWS service will assist in meeting the stated business objectives of the mobile application?
- ✓Amazon LexCorrect
- BAmazon Polly
- CAmazon Translate
- DAmazon Transcribe
- Question 3
As a social media content creator, you are tasked to convert audio files to text for a set of podcasts. These podcasts have a range of discussions, including interviews and monologues. These recordings come in various accents and languages. Which AWS automatic speech recognition (ASR) service can be used for this requirement?
- ✓Amazon TranscribeCorrect
- BAmazon Translate
- CAmazon Textract
- DAmazon Polly
- Question 4
A binary classification model is a type of supervised learning algorithm that categorizes data into one of two distinct groups or classes. Which of the following use case is an example of binary classification model?
- ✓Forecasting WeatherCorrect
- BE-mail spam detection
- CPredict height based on the weight of a person
- DAnomaly detection
- Question 5
A product company is developing an AI model where they need to analyze customer feedback data from multiple sources, including emails, reviews, and social media posts. Company’s goal is to find the sentiment of the feedback, extract key phrases, and understand the dominant topics discussed in the customer feedback. Which AWS service will meet these requirements?
- ✓Amazon TranscribeCorrect
- BAmazon Translate
- CAmazon Comprehend
- DAmazon Textract
- Question 6
A company is researching how it might benefit from using Generative Artificial Intelligence (generative AI). At the same time, they are very concerned about the Generative AI challenges that need to be addressed. Which options are challenges of responsible Artificial Intelligence (AI)? (Select TWO.)
- ✓Enterprise riskCorrect
- BToxicity
- CIntellectual property
- DLarge language models (LLMs)
- EModel Performance
- Question 7
A company wants to develop a chatbot that can understand and respond to customer queries in natural language. Which NLP technique would be most suitable for this task?
- ✓Text ClassificationCorrect
- BSentiment Analysis
- CMachine Translation
- DNatural Language Understanding (NLU)
- Question 8
A company is developing a chatbot that can understand and respond to complex queries in natural language. Which technique is used to represent words and phrases as numerical vectors, enabling the model to understand semantic relationships between words?
- ✓TokenizationCorrect
- BWord Embeddings
- CPart-of-Speech Tagging
- DNamed Entity Recognition
- Question 9
A company is developing an artificial intelligence (AI) system to control a self-driving car. The system learns through trial-and-error interactions with the driving environment, receiving rewards for safe and efficient actions. Which machine learning (ML) approach is being used in this scenario?
- ✓Supervised LearningCorrect
- BReinforcement Learning
- CUnsupervised Learning
- DSelf-Supervised Learning
- Question 10
A company wants to create a system that can automatically read and understand handwritten addresses on envelopes. Which AI technique is most suitable for this task?
- ✓Decision TreesCorrect
- BLinear Regression
- CNeural Networks
- DSupport Vector Machines
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