AI1-C01 by Amazon Valid Free Exam Practice Test

Question 1

A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.
What are the key benefits of using Amazon Bedrock agents that could help this retailer?

A. Automation of repetitive tasks and orchestration of complex workflows B. Selecting the foundation model (FM) based on predefined criteria and metrics C. Automatically calling multiple foundation models (FMs) and consolidating the results D. Generation of custom foundation models (FMs) to predict customer needs

Correct Answer: A

Question 2

Which strategy evaluates the accuracy of a foundation model (FM) that is used in image classification tasks?

A. Calculate the total cost of resources used 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. Assess the color accuracy of images processed by the model.

Correct Answer: C

Question 3

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.
How should the AI practitioner prevent responses based on confidential data?

A. Mask the confidential data in the inference responses by using dynamic data masking. B. Encrypt the confidential data in the inference responses by using Amazon SageMaker. C. Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS). D. Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.

Correct Answer: D

Question 4

A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

A. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format. B. Provide labeled data with the prompt field and the completion field. C. Train the model on journals and textbooks. D. Purchase Provisioned Throughput for Amazon Bedrock.

Correct Answer: B

Question 5

A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?

A. Observer bias B. Confirmation bias C. Measurement bias D. Sampling bias

Correct Answer: D

Question 6

A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.
Which solution meets these requirements?

A. Develop an anomaly detection system. B. Create a natural language processing (NLP) named entity recognition system. C. Create a fraud forecasting system. D. Build a speech recognition system.

Correct Answer: A

Question 7

A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers.
Which solution will meet these requirements?

A. Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request. B. Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders. C. Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data. D. Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

Correct Answer: C

Question 8

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt.
Which consideration will inform the company's decision?

A. Temperature B. Context window C. Batch size D. Model size

Correct Answer: B

Question 9

A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.
Which Amazon Bedrock pricing model meets these requirements?

A. Spot Instance B. Model customization C. Provisioned Throughput D. On-Demand

Correct Answer: D

Amazon AWS Certified AI Practitioner - AI1-C01 Exam Practice Test