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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

A. Model convergence tables
B. Partial dependence plots (PDPs)
C. Sample data for training
D. Code for model training

Answer: B

NEW QUESTION # 21
A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.
Which AWS service or feature will meet these requirements?

A. AWS PrivateLink
B. Internet gateway
C. Amazon CloudFront
D. Amazon Macie

Answer: A

NEW QUESTION # 22
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 embedding model
D. Multi-modal generation model

Answer: C

NEW QUESTION # 23
A company wants to classify human genes into 20 categories based on gene characteristics.
The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?

A. Linear regression
B. Neural networks
C. Logistic regression
D. Decision trees

Answer: D

NEW QUESTION # 24
A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.
Which solution meets these requirements?

A. Define a higher number for the temperature parameter.
B. Use batch inferencing to process detailed responses.
C. Experiment and refine the prompt until the FM produces the desired responses.
D. Set a low limit on the number of tokens the FM can produce.

Answer: C

NEW QUESTION # 25
......

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AI1-C01 Accurate Test | AI1-C01 Vce Torrent

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q20-Q25):

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