QUESTION 141
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

Correct Answer: A

QUESTION 142
An AI practitioner wants to build an ML model that groups customer reviews into various categories by using historical labeled data. Which ML technique meets these requirements?

A. Clustering
B. Classification
C. Regression
D. Reinforcement learning

Correct Answer: B

QUESTION 143
A trading company wants to use a large language model (LLM) for financial market forecasts based on daily market data, news, and company reports. Which solution meets these requirements?

A. Fine-tune the LLM on a domain-specific dataset until the LLM achieves 100% accuracy.
B. Pick a general purpose LLM without modifications.
C. Pick a general purpose LLM after evaluating the LLM on a test dataset.
D. Continually pre-train an LIM on domain-specific knowledge.

Correct Answer: A

QUESTION 144
A design company is using a foundation model (FM) on Amazon Bedrock to generate images for various projects. The company wants to have control over how detailed or abstract each generated image appears. Which model parameter should the company modify?

A. Model checkpoint
B. Batch size
C. Generation step
D. Token length

Correct Answer: C

QUESTION 145
An ecommerce company is using a chatbot to automate the customer order submission process. The chatbot is powered by AI and is available to customers directly from the company’s website 24 hours a day, 7 days a week. Which option is an AI system input vulnerability that the company needs to resolve before the chatbot is made available?

A. Data leakage
B. Prompt injection
C. Large language model (LLM) hallucinations
D. Concept drift

Correct Answer: B

QUESTION 146
An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training code and data. The ML team wants to build a mechanism that the ML team can use to audit models. Which solution should the ML team use when publishing the custom ML models?

A. Create documents with the relevant information. Store the documents in Amazon S3.
B. Use AWS AI Service Cards for transparency and understanding models.
C. Create Amazon SageMaker Model Cards with intended uses and training and inference details.
D. Create model training scripts. Commit the model training scripts to a Git repository.

Correct Answer: C

QUESTION 147
Which AWS service makes foundation models (FMs) available to help users build and scale generative AI applications?

A. Amazon Q Developer
B. Amazon Bedrock
C. Amazon Kendra
D. Amazon Comprehend

Correct Answer: B

QUESTION 148
A company is building a mobile app for users who have a visual impairment. The app must be able to hear what users say and provide voice responses. Which solution will meet these requirements?

A. Use a deep learning neural network to perform speech recognition.
B. Build ML models to search for patterns in numeric data.
C. Use generative Al summarization to generate human-like text.
D. Build custom models for image classification and recognition.

Correct Answer: A

QUESTION 149
An animation company wants to provide subtitles for its content. Which AWS service meets this requirement?

A. Amazon Comprehend
B. Amazon Polly
C. Amazon Transcribe
D. Amazon Translate

Correct Answer: C

QUESTION 150
A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise. Which ML model type meets these requirements?

A. Logistic regression model
B. Deep learning model built on principal components
C. K-nearest neighbors (k-NN) model
D. Neural network

Correct Answer: A

QUESTION 151
Which option is a use case for generative AI models?

A. Improving network security by using intrusion detection systems
B. Creating photorealistic images from text descriptions for digital marketing
C. Enhancing database performance by using optimized indexing
D. Analyzing financial data to forecast stock market trends

Correct Answer: C

QUESTION 152
In which stage of the generative Al model lifecycle are tests performed to examine the model’s accuracy?

A. Deployment
B. Data selection
C. Fine-tuning
D. Evaluation

Correct Answer: D

QUESTION 153
A retail store wants to predict the demand for a specific product for the next few weeks by using the Amazon SageMaker DeepAR forecasting algorithm. which type of data will meet this requirement?

A. Text data
B. Image data
C. Time series data
D. Binary data

Correct Answer: C

QUESTION 154
A financial institution is building an Al solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution’s decisions to be explainable. Which factor relates to the explainability of the Al solution’s decisions?

A. Model complexity
B. Training time
C. Number of hyperparameters
D. Deployment time

Correct Answer: A

QUESTION 155
Which option is a characteristic of Al governance frameworks for building trust and deploying human-centered AI technologies?

A. Expanding initiatives across business units to create long-term business value
B. Ensuring alignment with business standards, revenue goals, and stakeholder expectations
C. Overcoming challenges to drive business transformation and growth
D. Developing policies and guidelines for data, transparency, responsible AI, and compliance

Correct Answer: D

QUESTION 156
A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text. Which type of model meets this requirement?

A. Topic modeling
B. Clustering models
C. Prescriptive ML models
D. BERT-based models

Correct Answer: D

QUESTION 157
Why is model drift monitored and addressed as part of machine learning operations (MLOps)?

A. To ensure that the model is periodically retrained with new data
B. To prevent overfitting of the model during training
C. To reduce computational costs incurred during training
D. To ensure consistent performance of the ML model over time

Correct Answer: D

QUESTION 158
What is zero-shot learning?

A. A methodology to train large language models (LLMs) without supervised training examples
B. A methodology to train large language models (LLMs) without prompts
C. A fine-tuning technique that does not include specific examples in the prompt
D. A prompt engineering technique that does not include specific examples in the prompt

Correct Answer: B

QUESTION 159
Which technique involves training AI models on labeled datasets to adapt the models to specific industry terminology and requirements?

A. Data augmentation
B. Fine-tuning
C. Model quantization
D. Continuous pre-training

Correct Answer: B

QUESTION 160
An AI practitioner wants to deploy a chatbot that can assist customer service representatives by answering questions. The chatbot uses a large language model (LLM). The chatbot needs to produce fine-grained responses based on evolving product documentation. Which solution meets these requirements?

A. Apply continuous pre-training with product documentation to build a custom model.
B. Use product documentation with Retrieval Augmented Generation (RAG) to update the knowledge base.
C. Use transfer learning to train a generalized model on various product domains.
D. Collaborate with research institutions to develop a new foundation model (FM).

Correct Answer: B