HOTSPOT
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A company is developing an AI application to help the company approve or deny personal loans. The application must follow the principles of responsible AI.
Select the correct responsible AI principle from the following list for each action. Select each responsible AI principle one time or not at all.
Show Answer
Correct Answer: Privacy and security
Fairness
Robustness
Explanation: Encrypting data and isolating the app protect sensitive information and access.
Assessing impacts across population groups addresses bias and equitable treatment.
Testing with unexpected data ensures the system performs reliably in edge cases.
Question 66
A company wants to classify images of different objects based on custom features extracted from a dataset.
Which solution will meet this requirement with the LEAST development effort?
A. Use traditional ML algorithms with custom features extracted from the dataset.
B. Use a pre-trained deep learning model. Fine-tune the model on the dataset.
C. Use a generative adversarial network (GAN) model to classify the images.
D. Use a support vector machine (SVM) with manually engineered features for classification.
Show Answer
Correct Answer: B
Explanation: Fine-tuning a pre-trained deep learning model leverages existing learned features, requiring minimal custom feature engineering and less development time compared to building traditional ML pipelines or manually engineered models. GANs are unsuitable for classification, and traditional ML/SVM approaches require more feature engineering effort.
Question 67
A company is using supervised learning to train an AI model on a small labeled dataset that is specific to a target task.
Which step of the foundation model (FM) lifecycle does this describe?
A. Fine-tuning
B. Data selection
C. Pre-training
D. Evaluation
Show Answer
Correct Answer: A
Explanation: The scenario describes training a foundation model using supervised learning on a small, labeled dataset tailored to a specific downstream task. This is characteristic of fine-tuning, where a pre-trained model is adapted to a particular use case. Pre-training instead uses very large, mostly unlabeled datasets, while data selection and evaluation do not involve supervised task-specific training.
Question 67
A company plans to use a generative AI model to provide real-time service quotes to users.
Which criteria should the company use to select the correct model for this use case?
A. Model size
B. Training data quality
C. General-purpose use and high-powered GPU availability
D. Model latency and optimized inference speed
Show Answer
Correct Answer: D
Explanation: For real-time service quotes, the primary requirement is fast response while a user is waiting. Therefore, the model must have low latency and support optimized inference speed. Factors like model size, training data quality, or general-purpose capability are secondary if they cannot meet strict real-time performance constraints.
Question 68
A company wants to build and deploy ML models on AWS without writing any code.
Which AWS service or feature meets these requirements?
A. Amazon SageMaker Canvas
B. Amazon Rekognition
C. AWS DeepRacer
D. Amazon Comprehend
Show Answer
Correct Answer: A
Explanation: Amazon SageMaker Canvas is specifically designed for no-code machine learning. It allows users to build, train, and deploy ML models through a visual, point-and-click interface without writing any code. The other options are pre-built AI services for specific use cases (Rekognition, Comprehend) or a learning tool (DeepRacer), not general no-code ML model building.
Question 68
An AI practitioner is using Amazon Bedrock Prompt Management to create a reusable prompt. The prompt must be able to interact with external services by calling an external API.
Which solution will meet this requirement?
A. Use special tokens.
B. Use a tools configuration.
C. Use prompt variables.
D. Use a stop sequence.
Show Answer
Correct Answer: B
Explanation: In Amazon Bedrock Prompt Management, interacting with external services or APIs is done through tools (function calling). A tools configuration defines how the model can invoke external APIs. Tokens, prompt variables, and stop sequences do not enable external API calls.
Question 69
A company wants to label training datasets by using human feedback to fine-tune a foundation model (FM). The company does not want to develop labeling applications or manage a labeling workforce.
Which AWS service or feature meets these requirements?
A. Amazon SageMaker Data Wrangler
B. Amazon SageMaker Ground Truth Plus
C. Amazon Transcribe
D. Amazon Macie
Show Answer
Correct Answer: B
Explanation: Amazon SageMaker Ground Truth Plus is a fully managed data labeling service where AWS provides the labeling applications and manages the human workforce. It is specifically designed for creating human-labeled datasets, including human feedback used to fine-tune foundation models, without requiring customers to build labeling tools or manage annotators. The other options do not provide managed human labeling capabilities.
Question 69
An airline company wants to use a generative AI model to convert a flight booking system from one coding language into another coding language. The company must select a model for this task.
Which criteria should the company use to select the correct generative AI model for this task?
A. Syntax, semantic understanding, and code optimization capabilities
B. Code generation speed and error handling capabilities
C. Ability to generate creative content
D. Model size and resource requirements
Show Answer
Correct Answer: A
Explanation: Converting a flight booking system from one programming language to another requires the model to correctly interpret existing syntax, deeply understand the underlying semantics and business logic, and produce efficient, equivalent code in the target language. Syntax and semantic understanding ensure functional correctness, while code optimization helps maintain performance and reliability. Other options are secondary or irrelevant to accurate code translation.
Question 70
A healthcare company wants to analyze patient data. The data was gathered over the previous year to detect patterns in disease outbreaks. The company needs to create a trend analysis report for each month to present to public health officials. The company must provide insights into patient data from the most recent month of the current year.
Which inference method will meet these requirements MOST cost-effectively?
A. Real-time inference
B. Batch transform
C. Serverless inference
D. Asynchronous inference
Show Answer
Correct Answer: B
Explanation: The task involves analyzing large volumes of historical patient data and generating periodic (monthly) trend reports, including the most recent month. This is an offline, scheduled workload that does not require real-time or low-latency predictions. Batch transform is the most cost-effective inference method for running inference on large datasets at intervals, as resources are only used during the batch job and not kept running continuously.
Question 70
HOTSPOT
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A company wants to develop a solution that uses generative AI to create content for product advertisements, including sample images and slogans.
Select the correct model type from the following list for each action. Each model type should be selected one time.
Show Answer
Correct Answer: Create high-quality images influenced by slogans and product:
Diffusion model
Create contextually relevant slogans based on the product:
Transformer-based model
Ensure company brand elements are properly placed in images:
Object detection model
Explanation: Diffusion models are designed for generating high-quality images conditioned on text prompts. Transformer-based models excel at natural language generation, making them suitable for slogan creation. Object detection models can identify and verify the presence and placement of specific brand elements within images.
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