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Amazon AWS Certified AI Practitioner Sample Questions:
1. A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model.
The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?
A) Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
B) Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
C) Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
D) Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
2. A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket.
The data is encrypted with Amazon S3 managed keys (SSE-S3).
The FM encounters a failure when attempting to access the S3 bucket data.
Which solution will meet these requirements?
A) Use prompt engineering techniques to tell the model to look for information in Amazon S3.
B) Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.
C) Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
D) Ensure that the S3 data does not contain sensitive information.
3. A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?
A) Inference
B) Bias correction
C) Model deployment
D) Training
4. A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?" Which solution meets these requirements with the LEAST operational overhead?
A) Use code that will calculate probability by using simple rules and computations.
B) Use supervised learning to create a regression model that will predict probability.
C) Use reinforcement learning to train a model to return the probability.
D) Use unsupervised learning to create a model that will estimate probability density.
5. 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) Named entity recognition
B) Anomaly detection
C) Inpainting
D) Object detection
Solutions:
Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: D |