91. 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. On-Demand
B. Model customization
C. Provisioned Throughput
D. Spot Instance
Answer
A
92. Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team’s VPC?
A. Amazon Personalize
B. Amazon SageMaker JumpStart
C. PartyRock, an Amazon Bedrock Playground
D. Amazon SageMaker endpoints
Answer
B
92. How can companies use large language models (LLMs) securely on Amazon Bedrock?
A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
B. Enable AWS Audit Manager for automatic model evaluation jobs.
C. Enable Amazon Bedrock automatic model evaluation jobs.
D. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.
Answer
A
93. A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.
Which solution meets these requirements?
A. Generative pre-trained transformers (GPT)
B. Residual neural network
C. Support vector machine
D. WaveNet
Answer
A
94. 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. Inference
C. Model deployment
D. Bias correction
Answer
B
95. An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?
A. Data augmentation for imbalanced classes
B. Model monitoring for class distribution
C. Retrieval Augmented Generation (RAG)
D. Watermark detection for images
Answer
A
96. A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company’s private data sources.
Which solution will meet this requirement?
A. Use a different FM.
B. Choose a lower temperature value.
C. Create an Amazon Bedrock knowledge base.
D. Enable model invocation logging.
Answer
C
97. A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.
Which solution will meet these requirements?
A. Configure the security and compliance by using Amazon Inspector.
B. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
C. Encrypt and secure training data by using Amazon Macie.
D. Gather more data. Use Amazon Rekognition to add custom labels to the data.
Answer
B
98. A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.
Which capabilities can the company show compliance for? (Choose two.)
A. Auto scaling inference endpoints
B. Threat detection
C. Data protection
D. Cost optimization
E. Loosely coupled microservices
Answer
B, C
99. A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.
Which solution will meet these requirements?
A. Decrease the batch size.
B. Increase the epochs.
C. Decrease the epochs.
D. Increase the temperature parameter.
Answer
B
100. A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions.
Which business objective should the company use to evaluate the effect of the LLM chatbot?
A. Website engagement rate
B. Average call duration
C. Corporate social responsibility
D. Regulatory compliance
Answer
B