# Amazon (MLS-C01) Exam Questions And Answers page 5

How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?

Data Engineering
Machine Learning Implementation and Operations

Which storage scheme is MOST adapted to this scenario?

Store datasets as files in Amazon S3.

Store datasets as files in an Amazon EBS volume attached to an Amazon EC2 instance.

Store datasets as tables in a multi-node Amazon Redshift cluster.

Store datasets as global tables in Amazon DynamoDB.

Data Engineering
Machine Learning Implementation and Operations

Which solution can the team build MOST quickly to meet these requirements?

Data Engineering
Exploratory Data Analysis

How should the Data Science team configure the notebook instance placement to meet these requirements?

Data Engineering
Machine Learning Implementation and Operations

How should the data scientist meet these requirements?

Run a SageMaker training job with an EFS file system as the data source.

Model Development
Machine Learning Implementation and Operations

How can the data scientist meet this requirements?

Call the CreateNotebookInstanceLifecycleConfig API operation

Stop and then restart the SageMaker notebook instance

Call the UpdateNotebookInstanceLifecycleConfig API operation

Exploratory Data Analysis
Model Development

Which action will resolve the problem?

Change preprocessing to use n-grams.

Add more nodes to the recurrent neural network (RNN) than the largest sentence's word count.

Adjust hyperparameters related to the attention mechanism.

Choose a different weight initialization type.

Model Development
Machine Learning Implementation and Operations

Which sequence of steps should the data scientist take to meet these requirements?

Rescale the dataset. Then split the dataset into training, validation, and test sets.

Data Engineering
Exploratory Data Analysis

What transformation should the Data Scientist apply to satisfy the statistical assumptions of the linear regression model?

Exponential transformation

Logarithmic transformation

Polynomial transformation

Sinusoidal transformation

Data Engineering
Exploratory Data Analysis

What transformation should the Data Scientist apply to satisfy the statistical assumptions of the linear regression model?

Exponential transformation

Logarithmic transformation

Polynomial transformation

Sinusoidal transformation

Data Engineering
Exploratory Data Analysis

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