2025 100% Free AI1-C01 Daily Practice Exam With 88 Questions
AI1-C01 exam torrent Amazon study guide
NEW QUESTION # 35
A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.
What should the company do to mitigate this problem?
- A. Reduce the volume of data that is used in training.
- B. Increase the model training time.
- C. Add hyperparameters to the model.
- D. Increase the volume of data that is used in training.
Answer: D
NEW QUESTION # 36
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. Confirmation bias
- B. Sampling bias
- C. Measurement bias
- D. Observer bias
Answer: B
NEW QUESTION # 37
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?
- A. Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
- B. Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
- C. Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
- D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.
Answer: D
NEW QUESTION # 38
A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.
Which service will meet these requirements?
- A. Amazon Rekognition
- B. AWS Glue
- C. Amazon Lex
- D. Amazon Kinesis Data Streams
Answer: B
NEW QUESTION # 39
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. Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to 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. 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.
- D. Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.
Answer: D
NEW QUESTION # 40
A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions.
Which business objective should the company use to evaluate the effect of the LLM chatbot?
- A. Website engagement rate
- B. Regulatory compliance
- C. Average call duration
- D. Corporate social responsibility
Answer: C
NEW QUESTION # 41
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. Increase the temperature parameter on invocation requests to the LLM.
- B. Avoid using LLMs that are not listed in Amazon SageMaker.
- C. Create a prompt template that teaches the LLM to detect attack patterns.
- D. Decrease the number of input tokens on invocations of the LLM.
Answer: C
NEW QUESTION # 42
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?
- A. Model monitoring for class distribution
- B. Retrieval Augmented Generation (RAG)
- C. Data augmentation for imbalanced classes
- D. Watermark detection for images
Answer: C
NEW QUESTION # 43
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. Provisioned Throughput
- B. On-Demand
- C. Spot Instance
- D. Model customization
Answer: B
NEW QUESTION # 44
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. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
- B. Bilingual Evaluation Understudy (BLEU)
- C. F1 score
- D. Root mean squared error (RMSE)
Answer: B
NEW QUESTION # 45
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 user intents and correct chatbot responses
- B. Pairs of chatbot responses and correct user intents
- C. Pairs of user messages and correct chatbot responses
- D. Pairs of user messages and correct user intents
Answer: D
NEW QUESTION # 46
What are tokens in the context of generative AI models?
- A. Tokens are the mathematical representations of words or concepts used in generative AI models.
- B. Tokens are the specific prompts or instructions given to a generative AI model to generate output.
- C. Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
- D. Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
Answer: C
NEW QUESTION # 47
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 fornotification of policy violations.
- D. Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
Answer: C
Explanation:
I'll continue with more questions shortly. Stay tuned!
NEW QUESTION # 48
A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns.
The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.
Which solution meets these requirements?
- A. Create effective prompts that provide clear instructions and context to guide the model's generation.
- B. Select a large, diverse dataset to pre-train a new generative model.
- C. Increase the model's complexity by adding more layers to the model's architecture.
- D. Optimize the model's architecture and hyperparameters to improve the model's overall performance.
Answer: A
NEW QUESTION # 49
A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.
Which AWS service meets this requirement?
- A. Amazon Textract
- B. Amazon Lex
- C. Amazon Personalize
- D. Amazon Transcribe
Answer: A
NEW QUESTION # 50
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 in Amazon QuickSight
- B. Amazon Q in AWS Chatbot
- C. Amazon Q Developer
- D. Amazon Q in Amazon EC2
Answer: A
NEW QUESTION # 51
An accounting firm wants to implement a large language model (LLM) to automate document processing.
The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Select TWO.)
- A. Adjust the temperature parameter of the model.
- B. Apply prompt engineering techniques.
- C. Modify the training data to mitigate bias.
- D. Include fairness metrics for model evaluation.
- E. Avoid overfitting on the training data.
Answer: C,D
Explanation:
I'll continue with more questions. Stay tuned!
NEW QUESTION # 52
A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.
Which solution scope gives the company the MOST ownership of security responsibilities?
- A. Building and training a generative AI model from scratch by using specific data that a customer owns.
- B. Using a third-party enterprise application that has embedded generative AI features.
- C. Building an application by using an existing third-party generative AI foundation model (FM).
- D. Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
Answer: A
NEW QUESTION # 53
Which functionality does Amazon SageMaker Clarify provide?
- A. Identifies potential bias during data preparation
- B. Documents critical details about ML models
- C. Integrates a Retrieval Augmented Generation (RAG) workflow
- D. Monitors the quality of ML models in production
Answer: A
NEW QUESTION # 54
A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.
Which Amazon SageMaker inference option will meet these requirements?
- A. Serverless inference
- B. Real-time inference
- C. Batch transform
- D. Asynchronous inference
Answer: C
Explanation:
I'll continue with more questions shortly. Stay tuned!
NEW QUESTION # 55
An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation effort?
- A. Summarize the response text depending on the age of the user so that younger users receive shorter responses.
- B. Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.
- C. Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.
- D. Add a role description to the prompt context that instructs the model of the age range that the response should target.
Answer: D
NEW QUESTION # 56
A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket.
The data is encrypted with Amazon S3 managed keys (SSE-S3).
The FM encounters a failure when attempting to access the S3 bucket data.
Which solution will meet these requirements?
- A. Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
- B. Use prompt engineering techniques to tell the model to look for information in Amazon S3.
- C. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.
- D. Ensure that the S3 data does not contain sensitive information.
Answer: C
NEW QUESTION # 57
A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?" Which solution meets these requirements with the LEAST operational overhead?
- A. Use unsupervised learning to create a model that will estimate probability density.
- B. Use supervised learning to create a regression model that will predict probability.
- C. Use code that will calculate probability by using simple rules and computations.
- D. Use reinforcement learning to train a model to return the probability.
Answer: C
NEW QUESTION # 58
An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. The generated content sounds plausible and factual but is incorrect.
Which problem is the LLM having?
- A. Hallucination
- B. Overfitting
- C. Underfitting
- D. Data leakage
Answer: A
NEW QUESTION # 59
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