Page 9 of 22 · 422 total questions.
What is tokenization used for in natural language processing (NLP)?
The correct answer is C. Option C: To break text into smaller units for processing.
Which option is a characteristic of transformer-based language models?
The correct answer is C. Option C: Transformer-based language models use self-attention mechanisms to capture contextual relationships.
A financial company is using AI systems to obtain customer credit scores as part of the loan application process. The company wants to expand to a new market in a different geographic area. The company must ensure that it can operate in that geographic area. Which compliance laws should the company review?
The correct answer is D. Option D: Local algorithm accountability laws.
A company uses Amazon Bedrock for its generative AI application. The company wants to use Amazon Bedrock Guardrails to detect and filter harmful user inputs and model-generated outputs. Which content categories can the guardrails filter? (Choose two.)
The correct answer is A, C. Option A: Hate Option C: Violence.
Which scenario describes a potential risk and limitation of prompt engineering in the context of a generative AI model?
The correct answer is B. Option B: Prompt engineering could expose the model to vulnerabilities such as prompt injection attacks.
A publishing company built a Retrieval Augmented Generation (RAG) based solution to give its users the ability to interact with published content. New content is published daily. The company wants to provide a near real-time experience to users. Which steps in the RAG pipeline should the company implement by using offline batch processing to meet these requirements? (Choose two.)
The correct answer is A. Option A: Generation of content embeddings This option meets the real-time / low-latency performance requirement.
Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?
The correct answer is B. Option B: Prompt chaining.
An AI practitioner needs to improve the accuracy of a natural language generation model. The model uses rapidly changing inventory data. Which technique will improve the model's accuracy?
The correct answer is C. Option C: Retrieval Augmented Generation (RAG).
A company wants to collaborate with several research institutes to develop an AI model. The company needs standardized documentation of model version tracking and a record of model development. Which solution meets these requirements?
The correct answer is C. Option C: Track the model changes by using Amazon SageMaker Model Cards.
Explanation
Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.
A company that uses multiple ML models wants to identify changes in original model quality so that the company can resolve any issues. Which AWS service or feature meets these requirements?
The correct answer is D. Option D: Amazon SageMaker Model Monitor
Explanation
Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.
What is the purpose of chunking in Retrieval Augmented Generation (RAG)?
The correct answer is C. Option C: To improve the contextual relevancy of results retrieved from the vector index.
A company is developing an editorial assistant application that uses generative AI. During the pilot phase, usage is low and application performance is not a concern. The company cannot predict application usage after the application is fully deployed and wants to minimize application costs. Which solution will meet these requirements?
The correct answer is C. Option C: Use Amazon Bedrock with On-Demand Throughput.
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
A company deployed a Retrieval Augmented Generation (RAG) application on Amazon Bedrock that gathers financial news to distribute in daily newsletters. Users have recently reported politically influenced ideas in the newsletters. Which Amazon Bedrock guardrail can identify and filter this content?
The correct answer is B. Option B: Denied topics.
A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The company wants to minimize the amount of time the employees spend reviewing flagged fraud cases that are not actually fraudulent. Which evaluation metric meets these requirements?
The correct answer is C. Option C: Precision.
A company designed an AI-powered agent to answer customer inquiries based on product manuals. Which strategy can improve customer confidence levels in the AI-powered agent's responses?
The correct answer is B. Option B: Including referenced product manual links in the response.
A hospital developed an AI system to provide personalized treatment recommendations for patients. The AI system must provide the rationale behind the recommendations and make the insights accessible to doctors and patients. Which human-centered design principle does this scenario present?
The correct answer is A. Option A: Explainability.
Which statement presents an advantage of using Retrieval Augmented Generation (RAG) for natural language processing (NLP) tasks?
The correct answer is A. Option A: RAG can use external knowledge sources to generate more accurate and informative responses.
A company has created a custom model by fine-tuning an existing large language model (LLM) from Amazon Bedrock. The company wants to deploy the model to production and use the model to handle a steady rate of requests each minute. Which solution meets these requirements MOST cost-effectively?
The correct answer is D. Option D: Purchase Provisioned Throughput for the model on Amazon Bedrock.
Explanation
Amazon Bedrock provides access to foundation models through a managed API. This option delivers the requirement at the lowest cost.
Which technique involves training AI models on labeled datasets to adapt the models to specific industry terminology and requirements?
The correct answer is B. Option B: Fine-tuning.
A company is creating an agent for its application by using Amazon Bedrock Agents. The agent is performing well, but the company wants to improve the agent’s accuracy by providing some specific examples. Which solution meets these requirements?
The correct answer is A. Option A: Modify the advanced prompts for the agent to include the examples.
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