Amazon AWS Certified AI AI1-C01

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Amazon AWS Certified AI Practitioner Sample Questions:

1. An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.
Which strategy meets these requirements?

A) Object detection
B) Anomaly detection
C) Inpainting
D) Named entity recognition

2. A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months.
Which AWS solution should the company use to automate the generation of graphs?

A) Amazon Q Developer
B) Amazon Q in Amazon QuickSight
C) Amazon Q in Amazon EC2
D) Amazon Q in AWS Chatbot

3. An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.
Which type of FM should the AI practitioner use to power the search application?

A) Text embedding model
B) Image generation model
C) Multi-modal generation model
D) Multi-modal embedding model

4. A company is building a contact center application and wants to gain insights from customer conversations.
The company wants to analyze and extract key information from the audio of the customer calls.
Which solution meets these requirements?

A) Extract information from call recordings by using Amazon SageMaker Model Monitor.
B) Create classification labels by using Amazon Comprehend.
C) Build a conversational chatbot by using Amazon Lex.
D) Transcribe call recordings by using Amazon Transcribe.

5. A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

A) R-squared score
B) Learning rate
C) Accuracy
D) Root mean squared error (RMSE)

Solutions: