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Get All AWS Certified Machine Learning - Specialty Exam Questions with Validated Answers
| Vendor: | Amazon |
|---|---|
| Exam Code: | MLS-C01 |
| Exam Name: | AWS Certified Machine Learning - Specialty |
| Exam Questions: | 330 |
| Last Updated: | February 14, 2026 |
| Related Certifications: | Amazon Specialty, AWS Certified Machine Learning |
| Exam Tags: | Advanced Data ScientistsMachine Learning Developers |
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[Data Engineering]
An Amazon SageMaker notebook instance is launched into Amazon VPC The SageMaker notebook references data contained in an Amazon S3 bucket in another account The bucket is encrypted using SSE-KMS The instance returns an access denied error when trying to access data in Amazon S3.
Which of the following are required to access the bucket and avoid the access denied error? (Select THREE)
[Modeling]
A company is using Amazon Polly to translate plaintext documents to speech for automated company announcements However company acronyms are being mispronounced in the current documents How should a Machine Learning Specialist address this issue for future documents?
[Modeling]
A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs.
What does the Specialist need to do?
[Data Engineering]
A large company has developed a B1 application that generates reports and dashboards using data collected from various operational metrics The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports The company wants the executives to be able ask questions using written and spoken interlaces
Which combination of services can be used to build this conversational interface? (Select THREE)
[Modeling]
A data scientist is building a new model for an ecommerce company. The model will predict how many minutes it will take to deliver a package.
During model training, the data scientist needs to evaluate model performance.
Which metrics should the data scientist use to meet this requirement? (Select TWO.)
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