AWS Certified Machine Learning Specialty (MLS-C01)
Exam Questions with Answers Latest 2025
Accuracy
It is defined as "the ratio of correct predictions to total predictions
made".
Principal Component Analysis
It is a popular technique that aims to reduce high-dimensional data
into low-dimensional data, while preserving useful information for
prediction.
Linear Learner
An Amazon SageMaker Algorithm that can be used to solve classification
or regression problems.
Pipe
In Amazon SageMaker, ______ mode makes it possible for training data to
be streamed from Amazon S3 directly to your training instance.
Overfitting
A model has a training accuracy of 99% and a validation accuracy of 68%.
This shows that the model is ______.
Confusion matrix
A visualization technique commonly used to describe the performance of
a classification model.
Inference
The process of making predictions using a trained model is known as
______.
AWS Elastic Inference
, AWS Certified Machine Learning Specialty (MLS-C01)
Exam Questions with Answers Latest 2025
An AWS resource can you attach to CPU-based instances to accelerate and
lower the cost of running deep learning inference
Regularization
Helps prevent linear models from overfitting training.
Amazon Athena
It is an interactive query service that makes it easy to analyze data
in Amazon S3 using standard SQL.
Amazon EMR
It simplifies the processing of large volumes of data efficiently using
Apache Hadoop and other services offered by a popular cloud service
provider.
AWS Glue
A serverless data integration service that simplifies the process of
discovering, preparing, moving, and integrating data from multiple
sources.
Amazon Kinesis
Makes it easy to collect, process, and analyze video and data streams
in real time.
Amazon Kinesis Data Firehose
Extract, transform, and load (ETL) service that reliably captures,
transforms, and delivers streaming data to data lakes, data stores, and
analytics services.
Amazon Kinesis Data Streams
Exam Questions with Answers Latest 2025
Accuracy
It is defined as "the ratio of correct predictions to total predictions
made".
Principal Component Analysis
It is a popular technique that aims to reduce high-dimensional data
into low-dimensional data, while preserving useful information for
prediction.
Linear Learner
An Amazon SageMaker Algorithm that can be used to solve classification
or regression problems.
Pipe
In Amazon SageMaker, ______ mode makes it possible for training data to
be streamed from Amazon S3 directly to your training instance.
Overfitting
A model has a training accuracy of 99% and a validation accuracy of 68%.
This shows that the model is ______.
Confusion matrix
A visualization technique commonly used to describe the performance of
a classification model.
Inference
The process of making predictions using a trained model is known as
______.
AWS Elastic Inference
, AWS Certified Machine Learning Specialty (MLS-C01)
Exam Questions with Answers Latest 2025
An AWS resource can you attach to CPU-based instances to accelerate and
lower the cost of running deep learning inference
Regularization
Helps prevent linear models from overfitting training.
Amazon Athena
It is an interactive query service that makes it easy to analyze data
in Amazon S3 using standard SQL.
Amazon EMR
It simplifies the processing of large volumes of data efficiently using
Apache Hadoop and other services offered by a popular cloud service
provider.
AWS Glue
A serverless data integration service that simplifies the process of
discovering, preparing, moving, and integrating data from multiple
sources.
Amazon Kinesis
Makes it easy to collect, process, and analyze video and data streams
in real time.
Amazon Kinesis Data Firehose
Extract, transform, and load (ETL) service that reliably captures,
transforms, and delivers streaming data to data lakes, data stores, and
analytics services.
Amazon Kinesis Data Streams
