Simulate the real exam

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Only need to practice for 20 to 30 hours

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Fast delivery in 5 to 10 minutes after payment

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Amazon AWS Certified AI Practitioner Sample Questions:

1. A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

A) User-generated content
B) Benchmark datasets
C) Moderation logs
D) Content moderation guidelines

2. 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.

3. 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) Anomaly detection
B) Object detection
C) Inpainting
D) Named entity recognition

4. An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
Which strategy should the AI practitioner use?

A) Enable invocation logging in Amazon Bedrock.
B) Configure model invocation logging in Amazon EventBridge.
C) Configure AWS Audit Manager as the logs destination for the model.
D) Configure AWS CloudTrail as the logs destination for the model.

5. A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.
Which SageMaker inference option meets these requirements?

A) Asynchronous inference
B) Batch transform
C) Serverless inference
D) Real-time inference

Solutions: