Question # 1 A company has built a solution by using generative AI. The solution uses large language
models (LLMs) to translate training manuals from English into other languages. The
company wants to evaluate the accuracy of the solution by examining the text generated
for the manuals.
Which model evaluation strategy meets these requirements? A. Bilingual Evaluation Understudy (BLEU)B. Root mean squared error (RMSE)C. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)D. F1 score
Click for Answer
A. Bilingual Evaluation Understudy (BLEU)
Question # 2 Which option is a use case for generative AI models? A. Improving network security by using intrusion detection systemsB. Creating photorealistic images from text descriptions for digital marketingC. Enhancing database performance by using optimized indexingD. Analyzing financial data to forecast stock market trends
Click for Answer
B. Creating photorealistic images from text descriptions for digital marketing
Answer Description Explanation:
Generative AI models are used to create new content based on existing data. One
common use case is generating photorealistic images from text descriptions, which is
particularly useful in digital marketing, where visual content is key to engaging potential
customers.
Option B (Correct): "Creating photorealistic images from text descriptions for digital
marketing": This is the correct answer because generative AI models, like those
offered by Amazon Bedrock, can create images based on text descriptions,
making them highly valuable for generating marketing materials.
Option A: "Improving network security by using intrusion detection systems" is
incorrect because this is a use case for traditional machine learning models, not
generative AI.
Option C: "Enhancing database performance by using optimized indexing" is
incorrect as it is unrelated to generative AI.
Option D: "Analyzing financial data to forecast stock market trends" is incorrect
because it typically involves predictive modeling rather than generative AI.
AWS AI Practitioner References:
Use Cases for Generative AI Models on AWS: AWS highlights the use of
generative AI for creative content generation, including image creation, text
generation, and more, which is suited for digital marketing applications.
Question # 3 A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.
Which action will reduce these risks? A. Create a prompt template that teaches the LLM to detect attack patterns.
B. Increase the temperature parameter on invocation requests to the LLM.
C. Avoid using LLMs that are not listed in Amazon SageMaker.
D. Decrease the number of input tokens on invocations of the LLM.
Click for Answer
A. Create a prompt template that teaches the LLM to detect attack patterns.
Question # 4 A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure
that the results and topics are appropriate for children.
Which AWS service or feature will meet these requirements? A. Amazon RekognitionB. Amazon Bedrock playgroundsC. Guardrails for Amazon BedrockD. Agents for Amazon Bedrock
Click for Answer
C. Guardrails for Amazon Bedrock
Question # 5 A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy.
Which additional data does the company need to meet these requirements? A. Pairs of chatbot responses and correct user intentsB. Pairs of user messages and correct chatbot responses
C. Pairs of user messages and correct user intents
D. Pairs of user intents and correct chatbot responses
Click for Answer
C. Pairs of user messages and correct user intents
Question # 6 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 an Amazon Bedrock custom service role for each team that has access to only the team's customer data.B. Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.C. Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.D. 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.
Click for Answer
A. Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.
Question # 7 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. Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.B. Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.C. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.D. Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
Click for Answer
C. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.
Question # 8 An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.
Which strategy meets these requirements? A. Object detectionB. Anomaly detectionC. Named entity recognitionD. Inpainting
Click for Answer
A. Object detection
Answer Description Explanation:
Object detection is the correct strategy for automatically identifying and categorizing animals in photos.
Object Detection:
A computer vision technique that identifies and locates objects within an image and assigns them to predefined categories.
Ideal for tasks such as identifying animals in photos, where the goal is to detect specific objects (animals) and categorize them accordingly.
Why Option A is Correct:
Automatic Identification:Object detection models can automatically identify different types of animals in the images without manual intervention.
Categorization Capability:Assigns labels to detected objects, fulfilling the requirement for categorizing animals.
Why Other Options are Incorrect:
B. Anomaly detection:Identifies outliers or unusual patterns, not specific objects in images.
C. Named entity recognition:Used in NLP to identify entities in text, not for image processing.
D. Inpainting:Used for filling in missing parts of images, not for detecting or categorizing objects.
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