WorksheetsQuiz A_1
Total questions: 20
Worksheet time: 10mins
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?
Code for model training
Partial dependence plots (PDPs)
Sample data for training
Model convergence tables
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key point from documents. Which solution meet the requirements?
Build an automatic named entity recognition system
Create a recommendation engine
Develop a summarization chatbot
Develop a multi-language translation system
A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Decision tree
Linear regression
Logistic regression
Neural networks
A company has built an image classification model to predict plant diseases from photos of plants leaves. The company wants to evaluate how many images the model classify correctly.
R-squared score
Accuracy
Root mean squared error (RMS)
Learning rate
A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company need the LLM outputs to be short and written in a specific language. Which solution will align the LLM response quality with the company´s expectations?
Adjust the prompt
Choose an LLM of a different size
Increase the temperature
Increase the Top K value
A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing time up to 1 hour. The company need near real-time latency. Which SageMaker inference option meet these requirements?
Real-time inference
Serverless inference
Asynchronous inference
Batch transform
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks. Which ML strategy meet these requirements?
Increase the number of epochs.
Use transfer learning
Decrease the number of epochs
Use unsupervised learning
A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations. Which solution will meet these requirements?
Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
Data augmentation by using Amazon Bedrock knowledge base
Image recognition by using Amazon Rekognition
Data summarization by using Amazon QuickSight Q
A company wants to create a chatbot by using 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 key (SSE-S3). The FM encounters a failure when attempting to access the S3 bucket data. Which solution will meet these requirements?
Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.
Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
Use prompt engineering techniques to tell the model to look for information in Amazon S3
Ensure that the S3 data does not contain sensitive information
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?
Deploy optimized small language models (SLMs) on edge devices.
Deploy optimized large language models (LLMs) on edge devices
Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
Incorporate a centralized large language model (LLM) APO for asynchronous communication with edge devices
A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams. Which SageMaker feature meet the requirements?
Amazon SageMaker Feature Store.
Amazon SageMaker Data Wrangler
Amazon SageMaker Clarify
Amazon SageMaker Model Cards
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?
Create software snippets, reference tracking, and open source license tracking
Run an application without provisioning or managing servers
Enable voice commands for coding and providing natural language search
Convert audio files to text documents by using ML models
A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any Internet traffic. Which AWS service or feature will meet these requirements
AWS Private link
Amazon Macie
Amazon CloudFront
Internet gateway
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
Use supervised learning to create a regression model that will predict probability
Use reinforcement learning to train a model to return the probability
Use code that will calculate probability by using simple rules and computations
Use unsupervised learning to create a model that will estimate probability density
Which metric measures the runtime efficiency of operating AI models?
Customer satisfaction score (CSAT)
Training time for each epoch
Average response time
Number of training instances
A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls. Which solution meets these requirements?
Build a conversational chat box by using Amazon Lex
Transcribe call recordings by using Amazon transcribe
Extract information from call recordings by using Amazon sage maker model monitor
Create classification labels by using Amazon comprehend
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
supervised learning
Unsupervised learning
Reinforcement learning
Reinforcement learning from human feedback (RLHF)
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM should the AI practitioner use to power the search application?
Multimodal embedding model
Text embedding model
Multimodal generation model
Image generation model
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data. Which strategy will successfully fine-tune the model?
Provide labeled data with the prompt and the competition field
Prepare the training data set by creating a .txt file that contains multiple lines in .csv format
Purchase provisioned throughput for Amazon bedrock
Train the model on journals and textbooks
A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source. Which solution meets these requirements?
Build a speech recognition system
Create a natural language processing (NLP) named entity recognition system
Develop an anomaly detection system
Create a fraud forecasting system
