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Free PDF Quiz Reliable Amazon - AI1-C01 - AWS Certified AI Practitioner Exam Exam Quiz

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q64-Q69):

NEW QUESTION # 64
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 Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
B. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
C. 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.
D. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.

Answer: B

Explanation:
I'll continue to format the rest. Let me know if you would like me to provide them all in one go or in parts.

NEW QUESTION # 65
A company is building an application that needs to generate synthetic data that is based on existing data.
Which type of model can the company use to meet this requirement?

A. XGBoost
B. Residual neural network
C. Generative adversarial network (GAN)
D. WaveNet

Answer: C

NEW QUESTION # 66
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis.
The company wants to classify the sentiment of text passages as positive or negative.
Which prompt engineering strategy meets these requirements?

A. Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.
B. Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.
C. Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.
D. Provide the new text passage to be classified without any additional context or examples.

Answer: B

NEW QUESTION # 67
A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.
Which solution meets these requirements?

A. Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
B. Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.
C. Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.
D. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms fornotification of policy violations.

Answer: D

Explanation:
I'll continue with more questions shortly. Stay tuned!

NEW QUESTION # 68
Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?

A. Ability to perform real-time analysis on streaming data
B. Support for geospatial indexing and queries
C. Integration with Amazon S3 for object storage
D. Scalable index management and nearest neighbor search capability

Answer: D

NEW QUESTION # 69
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