A Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors While exploring the data, the Specialist notices that the magnitude of the input features vary greatly The Specialist does not want variables with a larger magnitude to dominate the model
What should the Specialist do to prepare the data for model training'?

1. A. Apply quantile binning to group the data into categorical bins to keep any relationships in the data by replacing the magnitude with distribution
2. B. Apply the Cartesian product transformation to create new combinations of fields that are independent of the magnitude
3. C. Apply normalization to ensure each field will have a mean of 0 and a variance of 1 to remove any significant magnitude
4. D. Apply the orthogonal sparse Diagram (OSB) transformation to apply a fixed-size sliding window to generate new features of a similar magnitude.

Correct Answer: C

A financial services company wants to adopt Amazon SageMaker as its default data science environment. The company's data scientists run machine learning (ML) models on confidential financial data. The company is worried about data egress and wants an ML engineer to secure the environment.
Which mechanisms can the ML engineer use to control data egress from SageMaker? (Choose three.)

1. A. Connect to SageMaker by using a VPC interface endpoint powered by AWS PrivateLink.
2. B. Use SCPs to restrict access to SageMaker.
3. C. Disable root access on the SageMaker notebook instances.
4. D. Enable network isolation for training jobs and models.
5. E. Restrict notebook presigned URLs to specific IPs used by the company.
6. F. Protect data with encryption at rest and in transi
7. G. Use AWS Key Management Service (AWS KMS) to manage encryption keys.

Correct Answer: BDE
https://aws.amazon.com/blogs/machine-learning/millennium-management-secure-machine-learning-using-amaz

A Machine Learning Specialist is building a supervised model that will evaluate customers' satisfaction with their mobile phone service based on recent usage The model's output should infer whether or not a customer is likely to switch to a competitor in the next 30 days
Which of the following modeling techniques should the Specialist use1?

1. A. Time-series prediction
2. B. Anomaly detection
3. C. Binary classification
4. D. Regression

Correct Answer: D

A Machine Learning Specialist prepared the following graph displaying the results of k-means for k = [1:10]

Considering the graph, what is a reasonable selection for the optimal choice of k?

1. A. 1
2. B. 4
3. C. 7
4. D. 10

Correct Answer: C

IT leadership wants Jo transition a company's existing machine learning data storage environment to AWS as a temporary ad hoc solution The company currently uses a custom software process that heavily leverages SOL as a query language and exclusively stores generated csv documents for machine learning
The ideal state for the company would be a solution that allows it to continue to use the current workforce of SQL experts The solution must also support the storage of csv and JSON files, and be able to query over semi-structured data The following are high priorities for the company:
• Solution simplicity
• Fast development time
• Low cost
• High flexibility
What technologies meet the company's requirements?

1. A. Amazon S3 and Amazon Athena
2. B. Amazon Redshift and AWS Glue
3. C. Amazon DynamoDB and DynamoDB Accelerator (DAX)
4. D. Amazon RDS and Amazon ES

Correct Answer: B