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?
Answer(s): B
Partial Dependence Plots (PDPs) are a powerful tool for understanding and explaining how the features in a machine learning model impact predictions. They are often used to meet transparency and explainability requirements for stakeholders. Let's go over why this is the correct choice, along with why the other options are less suitable:Partial Dependence Plots (PDPs)Purpose: PDPs show the relationship between a feature (or multiple features) and the model's predicted output, which helps to explain the effect of each feature on the model’s predictions.Explainability: By visualizing how each feature influences the prediction, stakeholders can better understand how the model works and why it makes certain predictions. This level of interpretability is essential for gaining trust from non-technical stakeholders.Transparency: PDPs improve transparency by providing an intuitive way to analyze and present the effects of individual features.
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.Which solution meets these requirements?
Answer(s): C
A summarization chatbot can effectively read legal documents and generate concise versions that highlight key points. This directly addresses the requirement of extracting essential information, unlike the other options,which focus on different tasks.
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.Which ML algorithm meets these requirements?
Answer(s): A
Decision trees provide clear transparency into how the model makes decisions, allowing easy documentation of how the inner mechanism influences the output. The other options do not offer this level of interpretability.
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.Which evaluation metric should the company use to measure the model's performance?
Accuracy measures how many images were correctly classified out of the total images, making it the appropriate metric for evaluating the performance of an image classification model. The other metrics are either not suitable for classification tasks or not used for performance evaluation.
A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations.The company needs 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?
Adjusting the prompt allows you to specify the desired length and language of the LLM's responses, making it suitable for tailoring the output to meet the company's needs. The other options do not directly control response length or language.
A company has fine-tuned an Amazon Bedrock foundation model (FM) to produce short document summaries.The company wants an automated metric that compares each model-generated summary with its human-written reference summary.Which metric will meet these requirements?
Recall-Oriented Understudy for Gisting Evaluation is used to evaluate generated text summaries by comparing them with human-written reference summaries. It measures overlap in words or sequences, making it suitable for automated summary quality evaluation.
A company is training a foundation model (FM). The company wants the FM training data to be well managed,secure, and compliant throughout the data lifecycle. The data must follow governance practices.Which option is an AWS data governance strategy for managing data across the data lifecycle?
Answer(s): D
Establishing data lifecycle policies, access controls, logging, and monitoring helps ensure that training data is managed securely, governed properly, and kept compliant throughout its lifecycle.
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?
Creating effective prompts helps guide the pre-trained generative AI model to produce content that aligns with the company's brand voice and messaging. The other options either involve model architecture changes or require extensive training, which are not necessary for aligning content generation.
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a company runs its workloads on premises. the company wants to forecast the cost of running a large application on aws. which aws service or tool can the company use to obtain this information? pricing calculator ... the aws pricing calculator is primarily used for estimating future costs
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