Free Amazon MLA-C01 Exam Questions

Question 1

A company is creating an application that will recommend products for customers to purchase. The application will make API calls to Amazon Q Business. The company must ensure that responses from Amazon Q Business do not include the name of the company's main competitor. Which solution will meet this requirement?

A : Configure the competitor's name as a blocked phrase in Amazon Q Business.

B : Configure an Amazon Q Business retriever to exclude the competitors name.

C : Configure an Amazon Kendra retriever for Amazon Q Business to build indexes that exclude the competitor's name.

D : Configure document attribute boosting in Amazon Q Business to deprioritize the competitor's name.

Answer: A

Question 2

What is the main goal of testing the model in ML?

A : prepare the data for training

B : generate predictions for new data

C : construct input representations from raw variables

D : evaluate the quality of the model on held-out data

Answer: D

Question 3

A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City.One of the random variables is discrete and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.Which prior probability distribution should the ML Specialist use for this variable?

A : rmal distribution

B : isson distribution

C : iform distribution

D : nomial distribution

Answer: D

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