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NEW QUESTION # 28
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. Prescriptive ML models
- B. Topic modeling
- C. BERT-based models
- D. Clustering models
Answer: C
NEW QUESTION # 29
An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance.
Which metric will help the AI practitioner evaluate the performance of the model?
- A. Correlation matrix
- B. Confusion matrix
- C. Mean squared error (MSE)
- D. R2 score
Answer: B
NEW QUESTION # 30
An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.
Which AWS services meet these requirements? (Select TWO.)
- A. Amazon Comprehend
- B. Amazon Polly
- C. Amazon Lex
- D. Amazon Rekognition
- E. Amazon Bedrock
Answer: A,E
NEW QUESTION # 31
A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?
- A. Measurement bias
- B. Sampling bias
- C. Confirmation bias
- D. Observer bias
Answer: B
NEW QUESTION # 32
A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?
- A. Model convergence tables
- B. Sample data for training
- C. Partial dependence plots (PDPs)
- D. Code for model training
Answer: C
NEW QUESTION # 33
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.
Which methodology should the company use to meet these requirements?
- A. Reinforcement learning
- B. Unsupervised learning
- C. Supervised learning
- D. Reinforcement learning from human feedback (RLHF)
Answer: B
NEW QUESTION # 34
A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data.
Which stage of the ML pipeline is the company currently in?
- A. Hyperparameter tuning
- B. Data pre-processing
- C. Exploratory data analysis
- D. Feature engineering
Answer: C
NEW QUESTION # 35
A company wants to use language models to create an application for inference on edge devices.
The inference must have the lowest latency possible.
Which solution will meet these requirements?
- A. Deploy optimized small language models (SLMs) on edge devices.
- B. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
- C. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
- D. Deploy optimized large language models (LLMs) on edge devices.
Answer: A
NEW QUESTION # 36
A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.
What can Amazon Q Developer do to help the company meet these requirements?
- A. Create software snippets, reference tracking, and open-source license tracking.
- B. Convert audio files to text documents by using ML models.
- C. Enable voice commands for coding and providing natural language search.
- D. Run an application without provisioning or managing servers.
Answer: C
NEW QUESTION # 37
A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.
Which solution will meet this requirement?
- A. Use Amazon Macie to monitor SageMaker Studio.
- B. Configure SageMaker to use a VPC with an S3 endpoint.
- C. Use Amazon Inspector to monitor SageMaker Studio.
- D. Configure SageMaker to use S3 Glacier Deep Archive.
Answer: B
NEW QUESTION # 38
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. Anomaly detection
- B. Named entity recognition
- C. Inpainting
- D. Object detection
Answer: D
NEW QUESTION # 39
Which metric measures the runtime efficiency of operating AI models?
- A. Training time for each epoch
- B. Average response time
- C. Number of training instances
- D. Customer satisfaction score (CSAT)
Answer: B
NEW QUESTION # 40
An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV's compliance reports become available.
Which AWS service can the company use to meet this requirement?
- A. AWS Data Exchange
- B. AWS Artifact
- C. AWS Trusted Advisor
- D. AWS Audit Manager
Answer: B
NEW QUESTION # 41
A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.
Which AWS service meets these requirements?
- A. Amazon S3
- B. Amazon Elastic File System (Amazon EFS)
- C. Amazon Elastic Block Store (Amazon EBS)
- D. AWS Snowcone
Answer: A
Explanation:
I'll continue to format the remaining questions in the same format. Stay tuned!
NEW QUESTION # 42
A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.
Which solution meets these requirements?
- A. Set a low limit on the number of tokens the FM can produce.
- B. Use batch inferencing to process detailed responses.
- C. Define a higher number for the temperature parameter.
- D. Experiment and refine the prompt until the FM produces the desired responses.
Answer: D
NEW QUESTION # 43
A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model responsibly to minimize bias that could negatively affect some customers.
Which actions should the company take to meet these requirements? (Select TWO.)
- A. Ensure that the model runs frequently.
- B. Detect imbalances or disparities in the data.
- C. Ensure that the model's inference time is within the accepted limits.
- D. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.
- E. Evaluate the model's behavior so that the company can provide transparency to stakeholders.
Answer: B,E
Explanation:
Let me know if you need more questions formatted similarly.
NEW QUESTION # 44
A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers.
After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.
How can the company improve the performance of the chatbot?
- A. Use few-shot prompting to define how the FM can answer the questions.
- B. Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.
- C. Change the FM inference parameters.
- D. Clean the research paper data to remove complex scientific terms.
Answer: B
NEW QUESTION # 45
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. Spot Instance
- D. Provisioned Throughput
Answer: A
NEW QUESTION # 46
A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.
What are the key benefits of using Amazon Bedrock agents that could help this retailer?
- A. Selecting the foundation model (FM) based on predefined criteria and metrics
- B. Generation of custom foundation models (FMs) to predict customer needs
- C. Automatically calling multiple foundation models (FMs) and consolidating the results
- D. Automation of repetitive tasks and orchestration of complex workflows
Answer: D
NEW QUESTION # 47
A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months.
Which AWS solution should the company use to automate the generation of graphs?
- A. Amazon Q Developer
- B. Amazon Q in Amazon QuickSight
- C. Amazon Q in AWS Chatbot
- D. Amazon Q in Amazon EC2
Answer: B
NEW QUESTION # 48
How can companies use large language models (LLMs) securely on Amazon Bedrock?
- A. Enable Amazon Bedrock automatic model evaluation jobs.
- B. Enable AWS Audit Manager for automatic model evaluation jobs.
- C. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.
- D. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
Answer: D
NEW QUESTION # 49
A company needs to build its own large language model (LLM) based on only the company's private data.
The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
- A. Amazon EC2 Trn series
- B. Amazon EC2 C series
- C. Amazon EC2 P series
- D. Amazon EC2 G series
Answer: A
NEW QUESTION # 50
A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.
Which solution will meet these requirements?
- A. Automate user feedback integration.
- B. Retrain the model with a general public dataset.
- C. Perform model validation.
- D. Implement moderation APIs.
Answer: D
NEW QUESTION # 51
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