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WorksheetsAWS AI Practitioner - 101 até 125
Total questions: 22
Worksheet time: 22mins
Name
Class
Date
1.
A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock.
Which solution meets these requirements MOST cost-effectively?
a)
Fine-tune the FM.
b)
Retrain the FM.
c)
Train a new FM.
d)
Use prompt engineering.
2.
A global financial company has developed an ML application to analyze stock market data and provide stock market trends. The company wants to continuously monitor the application development phases and to ensure that company policies and industry regulations are followed.
Which AWS services will help the company assess compliance requirements? (Choose two.)
a)
AWS Audit Manager
b)
AWS Config
c)
Amazon Inspector
d)
Amazon CloudWatch
e)
AWS CloudTrail
3.
A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics.
Which core dimension of responsible AI does this scenario present?
a)
Fairness
b)
Explainability
c)
Privacy and security
d)
Transparency
4.
A company deployed an AI/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions.
Which strategy will meet these requirements MOST cost-effectively?
a)
Fine-tune the model regularly.
b)
Train the model by using context data.
c)
Pre-train and benchmark the model by using context data.
d)
Use Retrieval Augmented Generation (RAG) with prompt engineering techniques.
5.
What does an F1 score measure in the context of foundation model (FM) performance?
a)
Model precision and recall
b)
Model speed in generating responses
c)
Financial cost of operating the model
d)
Energy efficiency of the model’s computations
6.
Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?
a)
Providing a visually appealing summary of a mode’s capabilities.
b)
Standardizing information about a model’s purpose, performance, and limitations.
c)
Reducing the overall computational requirements of a model.
d)
Physically storing models for archival purposes.
7.
A company wants to upload customer service email messages to Amazon S3 to develop a business analysis application. The messages sometimes contain sensitive data. The company wants to receive an alert every time sensitive information is found.
Which solution fully automates the sensitive information detection process with the LEAST development effort?
a)
Configure Amazon Macie to detect sensitive information in the documents that are uploaded to Amazon S3.
b)
Use Amazon SageMaker endpoints to deploy a large language model (LLM) to redact sensitive data.
c)
Develop multiple regex patterns to detect sensitive data. Expose the regex patterns on an Amazon SageMaker notebook.
d)
Ask the customers to avoid sharing sensitive information in their email messages.
8.
A company’s employees provide product descriptions and recommendations to customers when customers call the customer service center. These recommendations are based on where the customers are located. The company wants to use foundation models (FMs) to automate this process.
Which AWS service meets these requirements?
a)
Amazon Macie
b)
Amazon Transcribe
c)
Amazon Bedrock
d)
Amazon Textract
9.
A company is using a large language model (LLM) on Amazon Bedrock to build a chatbot. The chatbot processes customer support requests. To resolve a request, the customer and the chatbot must interact a few times.
Which solution gives the LLM the ability to use content from previous customer messages?
a)
Turn on model invocation logging to collect messages.
b)
Add messages to the model prompt.
c)
Use Amazon Personalize to save conversation history.
d)
Use Provisioned Throughput for the LLM.
10.
A company’s large language model (LLM) is experiencing hallucinations.
How can the company decrease hallucinations?
a)
Set up Agents for Amazon Bedrock to supervise the model training.
b)
Use data pre-processing and remove any data that causes hallucinations.
c)
Decrease the temperature inference parameter for the model.
d)
Use a foundation model (FM) that is trained to not hallucinate.
11.
A company wants to find groups for its customers based on the customers’ demographics and buying patterns.
Which algorithm should the company use to meet this requirement?
a)
K-nearest neighbors (k-NN)
b)
K-means
c)
Decision tree
d)
Support vector machine
12.
An ecommerce company is using a generative AI chatbot to respond to customer inquiries. The company wants to measure the financial effect of the chatbot on the company’s operations.
Which metric should the company use?
a)
Number of customer inquiries handled
b)
Cost of training AI models
c)
Cost for each customer conversation
d)
Average handled time (AHT)
13.
Which option is a characteristic of AI 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
14.
A company wants to keep its foundation model (FM) relevant by using the most recent data. The company wants to implement a model training strategy that includes regular updates to the FM.
Which solution meets these requirements?
a)
Batch learning
b)
Continuous pre-training
c)
Static training
d)
Latent training
15.
A company wants to enhance response quality for a large language model (LLM) for complex problem-solving tasks. The tasks require detailed reasoning and a step-by-step explanation process.
Which prompt engineering technique meets these requirements?
a)
Few-shot prompting
b)
Zero-shot prompting
c)
Directional stimulus prompting
d)
Chain-of-thought prompting
16.
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 AI summarization to generate human-like text.
d)
Build custom models for image classification and recognition.
17.
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
18.
An AI practitioner is developing a prompt for an Amazon Titan model. The model is hosted on Amazon Bedrock. The AI practitioner is using the model to solve numerical reasoning challenges. The AI practitioner adds the following phrase to the end of the prompt: “Ask the model to show its work by explaining its reasoning step by step.”
Which prompt engineering technique is the AI practitioner using?
a)
Chain-of-thought prompting
b)
Prompt injection
c)
Few-shot prompting
d)
Prompt templating
19.
A company needs to monitor the performance of its ML systems by using a highly scalable AWS service.
Which AWS service meets these requirements?
a)
Amazon CloudWatch
b)
AWS CloudTrail
c)
AWS Trusted Advisor
d)
AWS Config
20.
A hospital is developing an AI system to assist doctors in diagnosing diseases based on patient records and medical images. To comply with regulations, the sensitive patient data must not leave the country the data is located in.
Which data governance strategy will ensure compliance and protect patient privacy?
a)
Data residency
b)
Data quality
c)
Data discoverability
d)
Data enrichment
21.
An ecommerce company wants to improve search engine recommendations by customizing the results for each user of the company’s ecommerce platform.
Which AWS service meets these requirements?
a)
Amazon Personalize
b)
Amazon Kendra
c)
Amazon Rekognition
d)
Amazon Transcribe
22.
A company needs to log all requests made to its Amazon Bedrock API. The company must retain the logs securely for 5 years at the lowest possible cost.
Which combination of AWS service and storage class meets these requirements? (Choose two.)
a)
AWS CloudTrail
b)
Amazon CloudWatch
c)
AWS Audit Manager
d)
Amazon S3 Intelligent-Tiering
e)
Amazon S3 Standard
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