Free Amazon MLA-C01 Exam Questions
Absolute Free MLA-C01 Exam Practice for Comprehensive Preparation
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Amazon MLA-C01 Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Machine Learning Engineer Associate
- Certification: AWS Certified Machine Learning
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Total Questions: 339
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Updated On: May 27, 2025
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Rated: 4.9 |
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Online Users: 678
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Question 1
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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?
Answer: A
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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?
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Question 2
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A company is building a deep learning model on Amazon SageMaker. The company uses a large
amount of data as the training dataset. The company needs to optimize the model's
hyperparameters to minimize the loss function on the validation dataset. Which hyperparameter tuning strategy will accomplish this goal with the LEAST computation time?
Answer: A
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A company is building a deep learning model on Amazon SageMaker. The company uses a large
amount of data as the training dataset. The company needs to optimize the model's
hyperparameters to minimize the loss function on the validation dataset. Which hyperparameter tuning strategy will accomplish this goal with the LEAST computation time?
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Question 3
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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.)
Answer: B,C
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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.)
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Question 4
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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?
Answer: A
-
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?
-
Question 5
-
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?
Answer: A
-
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?