Free Amazon MLS-C01 Exam Dumps Questions & Answers

A machine learning (ML) specialist uploads a dataset to an Amazon S3 bucket that is protected by server-side encryption with AWS KMS keys (SSE-KMS). The ML specialist needs to ensure that an Amazon SageMaker notebook instance can read the dataset that is in Amazon S3.
Which solution will meet these requirements?

• A.  Assign an IAM role that provides S3 read access for the dataset to the SageMaker notebook. Grant permission in the KMS key policy to the 1AM role.
• B.  Configure the SageMaker notebook instance to have access to the VPC. Grant permission in the AWS Key Management Service (AWS KMS) key policy to the notebook's VPC.
• C.  Assign the same KMS key that encrypts the data in Amazon S3 to the SageMaker notebook instance.
• D.  Define security groups to allow all HTTP inbound and outbound traffic. Assign the security groups to the SageMaker notebook instance.

An online store is predicting future book sales by using a linear regression model that is based on past sales data. The data includes duration, a numerical feature that represents the number of days that a book has been listed in the online store. A data scientist performs an exploratory data analysis and discovers that the relationship between book sales and duration is skewed and non-linear.
Which data transformation step should the data scientist take to improve the predictions of the model?

• A.  Cartesian product transformation
• B.  One-hot encoding
• C.  Quantile binning
• D.  Normalization

A company's machine learning (ML) specialist is building a computer vision model to classify 10 different traffic signs. The company has stored 100 images of each class in Amazon S3, and the company has another
10.000 unlabeled images. All the images come from dash cameras and are a size of 224 pixels * 224 pixels.
After several training runs, the model is overfitting on the training data.
Which actions should the ML specialist take to address this problem? (Select TWO.)

• A.  Use the Amazon SageMaker k-nearest neighbors (k-NN) algorithm to label the unlabeled images.
• B.  Use Amazon SageMaker Ground Truth to label the unlabeled images
• C.  Use data augmentation to rotate and translate the labeled images.
• D.  Use image preprocessing to transform the images into grayscale images.
• E.  Replace the activation of the last layer with a sigmoid.

A Machine Learning Specialist works for a credit card processing company and needs to predict which transactions may be fraudulent in near-real time. Specifically, the Specialist must train a model that returns the probability that a given transaction may fraudulent.
How should the Specialist frame this business problem?

• A.  Multi-category classification
• B.  Streaming classification
• C.  Binary classification
• D.  Regression classification

An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis.
What combination of services is the MOST efficient to accomplish the task?

• A.  Amazon Transcribe, Amazon Translate, and Amazon Comprehend
• B.  Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker seq2seq
• C.  Amazon Transcribe, Amazon Translate, and Amazon SageMaker BlazingText
• D.  Amazon Transcribe, Amazon Translate, and Amazon SageMaker Neural Topic Model (NTM)