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MLS-C01 PDF + Testing Engine



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  • Exam Name: AWS Certified Machine Learning - Specialty
  • Last Update: 28-Mar-2023
  • Questions and Answers: 208
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MLS-C01 Questions and Answers

Question # 1

For the given confusion matrix, what is the recall and precision of the model?

MLS-C01 question answer


Recall = 0.92 Precision = 0.84


Recall = 0.84 Precision = 0.8


Recall = 0.92 Precision = 0.8


Recall = 0.8 Precision = 0.92

Question # 2

A Machine Learning Specialist is given a structured dataset on the shopping habits of a company’s customer

base. The dataset contains thousands of columns of data and hundreds of numerical columns for each

customer. The Specialist wants to identify whether there are natural groupings for these columns across all

customers and visualize the results as quickly as possible.

What approach should the Specialist take to accomplish these tasks?


Embed the numerical features using the t-distributed stochastic neighbor embedding (t-SNE) algorithm and

create a scatter plot.


Run k-means using the Euclidean distance measure for different values of k and create an elbow plot.


Embed the numerical features using the t-distributed stochastic neighbor embedding (t-SNE) algorithm and

create a line graph.


Run k-means using the Euclidean distance measure for different values of k and create box plots for each

numerical column within each cluster.

Question # 3

A company uses camera images of the tops of items displayed on store shelves to determine which items

were removed and which ones still remain. After several hours of data labeling, the company has a total of

1,000 hand-labeled images covering 10 distinct items. The training results were poor.

Which machine learning approach fulfills the company’s long-term needs?


Convert the images to grayscale and retrain the model


Reduce the number of distinct items from 10 to 2, build the model, and iterate


Attach different colored labels to each item, take the images again, and build the model


Augment training data for each item using image variants like inversions and translations, build the model,

and iterate.

Question # 4

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 )


Alexa for Business


Amazon Connect


Amazon Lex


Amazon Poly


Amazon Comprehend


Amazon Transcribe

Question # 5

A Machine Learning Specialist has completed a proof of concept for a company using a small data sample and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker The historical training data is stored in Amazon RDS

Which approach should the Specialist use for training a model using that data?


Write a direct connection to the SQL database within the notebook and pull data in


Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook.


Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in


Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access.

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