AWS Certified AI Practitioner417 questions across 42 pages are complete and free, with no account or card.
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An AI practitioner is evaluating the performance of an Amazon SageMaker model. The AI practitioner must choose a performance metric. The metric must show the ratio of the number of correctly classified items to the total number of correctly and incorrectly classified items. Which metric meets these requirements?
Answer: A
An ecommerce company receives multiple gigabytes of customer data daily. The company uses the data to train an ML model to forecast future product demand. The company needs a solution to perform inferences once each day. Which inference type meets these requirements?
Answer: A
A company has developed a generative AI model for customer segmentation. The model has been deployed in the company's production environment for a long time. The company recently noticed some inconsistency in the model's responses. The company wants to evaluate model bias and drift. Which AWS service or feature meets these requirements?
Answer: A
A company has signed up for Amazon Bedrock access to build applications. The company wants to restrict employee access to specific models available on Amazon Bedrock. Which solution meets these requirements?
Answer: A
Which ML technique uses training data that is labeled with the correct output values?
Answer: A
Which large language model (LLM) parameter controls the number of possible next words or tokens considered at each step of the text generation process?
Answer: B
A company is making a chatbot. The chatbot uses Amazon Lex and Amazon OpenSearch Service. The chatbot uses the company's private data to answer questions. The company needs to convert the data into a vector representation before storing the data in a database. Which type of foundation model (FM) meets these requirements?
Answer: C
A company wants to use a large language model (LLM) to generate product descriptions. The company wants to give the model example descriptions that follow a format. Which prompt engineering technique will generate descriptions that match the format?
Answer: D
A bank is fine-tuning a large language model (LLM) on Amazon Bedrock to assist customers with questions about their loans. The bank wants to ensure that the model does not reveal any private customer data. Which solution meets these requirements?
Answer: B
A grocery store wants to create a chatbot to help customers find products in the store. The chatbot must check the inventory in real time and provide the product location in the store. Which prompt engineering technique should the store use to build the chatbot?
Answer: D
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AIF-C01 practice, question 201. 417 questions available.
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