Free Amazon MLA-C01 Exam Questions

Question 1

A company has historical data that shows whether customers needed long-term support from company staff. The company needs to develop an ML model to predict whether new customers will require long-term support. Which modeling approach should the company use to meet this requirement?

A : Anomaly detection

B : Linear regression

C : Logistic regression

D : Semantic segmentation

Answer: C

Question 2

A company has historical data that shows whether customers needed long-term support from company staff. The company needs to develop an ML model to predict whether new customers will require long-term support. Which modeling approach should the company use to meet this requirement?

A : Anomaly detection

B : Linear regression

C : Logistic regression

D : Semantic segmentation

Answer: C

Question 3

What role will machine learning play in the future of technology?

A : will only be used in healthcare

B : will be boundless with applications in various fields

C : will become obsolete

D : will be limited to fraud detection

Answer: B

Question 4

An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML engineer needs to make the model accessible to a SageMaker Canvas user for additional tuning. The model artifacts are stored in an Amazon S3 bucket. The ML engineer and the Canvas user are part of the same SageMaker domain. Which combination of requirements must be met so that the ML engineer can share the model with the Canvas user? (Choose two.)

A : The ML engineer and the Canvas user must be in separate SageMaker domains.

B : The Canvas user must have permissions to access the S3 bucket where the model artifacts are stored.

C : The model must be registered in the SageMaker Model Registry.

D : The ML engineer must host the model on AWS Marketplace.

E : The ML engineer must deploy the model to a SageMaker endpoint.

Answer: B,C

Question 5

What characterizes a simple machine learning model?

A : w accuracy but high explainability

B : gh accuracy and high explainability

C : w accuracy and low explainability

D : gh accuracy but low explainability

Answer: A