AIF-C01 sample questions

Question 1

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?

Accepted Answer

Decision trees

Answer

Linear regression

Answer

Logistic regression

Answer

Neural networks

Question 2

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?

Accepted Answer

Accuracy

Answer

R-squared score

Answer

Root mean squared error (RMSE)

Answer

Learning rate

Question 3

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?

Accepted Answer

Adjust the prompt.

Answer

Choose an LLM of a different size.

Answer

Increase the temperature.

Answer

Increase the Top K value.

Question 4

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 times up to 1 hour. The company needs near real-time latency.Which SageMaker inference option meets these requirements?

Accepted Answer

Asynchronous inference

Answer

Real-time inference

Answer

Serverless inference

Answer

Batch transform

Question 5

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 meets these requirements?

Accepted Answer

Use transfer learning.

Answer

Increase the number of epochs.

Answer

Decrease the number of epochs.

Answer

Use unsupervised learning.

Question 6

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?

Accepted Answer

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

Answer

Data augmentation by using an Amazon Bedrock knowledge base

Answer

Image recognition by using Amazon Rekognition

Answer

Data summarization by using Amazon QuickSight Q

Question 7

A company wants to create a chatbot by using a 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 keys (SSE-S3).The FM encounters a failure when attempting to access the S3 bucket data.Which solution will meet these requirements?

Accepted Answer

Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

Answer

Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

Answer

Use prompt engineering techniques to tell the model to look for information in Amazon S3.

Answer

Ensure that the S3 data does not contain sensitive information.

Question 8

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?

Accepted Answer

Deploy optimized small language models (SLMs) on edge devices.

Answer

Deploy optimized large language models (LLMs) on edge devices.

Answer

Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.

Answer

Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.

Free AIF-C01 sample questions