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Free Demo Questions ------------------- Question 1 A manufacturing company wants to create product descriptions in multiple languages. Which AWS service will automate this task? AAmazon Translate BAmazon Transcribe CAmazon Kendra DAmazon Polly Reveal Answer Next Question Question 2 A company is developing an ML model to predict customer churn. Which evaluation metric will assess the model's performance on a binary classification task such as predicting chum? AF1 score BMean squared error (MSE) CR-squared DTime used to train the model Reveal Answer Next Question Question 3 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? AChain-of-thought prompting BPrompt injection CFew-shot prompting DPrompt templating Reveal Answer Next Question Question 4 A company wants to identify harmful language in the comments section of social media posts by using an ML model. The company will not use labeled data to train the model. Which strategy should the company use to identify harmful language? AUse Amazon Rekognition moderation. BUse Amazon Comprehend toxicity detection. CUse Amazon SageMaker AI built-in algorithms to train the model. DUse Amazon Polly to monitor comments. Reveal Answer Next Question Question 5 A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise. Which ML model type meets these requirements? ALogistic regression model BDeep learning model built on principal components CK-nearest neighbors (k-NN) model DNeural network Reveal Answer Next Question Question 6 Why does overfilting occur in ML models? AThe training dataset does not reptesent all possible input values. BThe model contains a regularization method. CThe model training stops early because of an early stopping criterion. DThe training dataset contains too many features. Reveal Answer Next Question Question 7 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? ASupervised learning BUnsupervised learning CReinforcement learning DReinforcement learning from human feedback (RLHF)