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Amazon AWS Certified AI Practitioner Sample Questions:

1. A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.
Which action will reduce these risks?

A) Increase the temperature parameter on invocation requests to the LLM.
B) Decrease the number of input tokens on invocations of the LLM.
C) Avoid using LLMs that are not listed in Amazon SageMaker.
D) Create a prompt template that teaches the LLM to detect attack patterns.

2. 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?

A) Partial dependence plots (PDPs)
B) Sample data for training
C) Code for model training
D) Model convergence tables

3. 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?

A) Use supervised learning to create a regression model that will predict probability.
B) Use unsupervised learning to create a model that will estimate probability density.
C) Use reinforcement learning to train a model to return the probability.
D) Use code that will calculate probability by using simple rules and computations.

4. A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.
What should the company do to mitigate this problem?

A) Add hyperparameters to the model.
B) Increase the model training time.
C) Reduce the volume of data that is used in training.
D) Increase the volume of data that is used in training.

5. Which metric measures the runtime efficiency of operating AI models?

A) Training time for each epoch
B) Number of training instances
C) Customer satisfaction score (CSAT)
D) Average response time

Solutions: