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Amazon AWS Certified AI Practitioner Sample Questions:
1. Which strategy evaluates the accuracy of a foundation model (FM) that is used in image classification tasks?
A) Assess the color accuracy of images processed by the model.
B) Count the number of layers in the neural network.
C) Measure the model's accuracy against a predefined benchmark dataset.
D) Calculate the total cost of resources used by the model.
2. A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.
Which SageMaker feature meets these requirements?
A) Amazon SageMaker Feature Store
B) Amazon SageMaker Data Wrangler
C) Amazon SageMaker Clarify
D) Amazon SageMaker Model Cards
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) Training
B) Bias correction
C) Model deployment
D) Inference
4. A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.
Which type of model meets this requirement?
A) BERT-based models
B) Clustering models
C) Prescriptive ML models
D) Topic modeling
5. A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.
Which solution will meet this requirement?
A) Configure SageMaker to use S3 Glacier Deep Archive.
B) Use Amazon Macie to monitor SageMaker Studio.
C) Use Amazon Inspector to monitor SageMaker Studio.
D) Configure SageMaker to use a VPC with an S3 endpoint.
Solutions:
Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |