QUESTION: 77

A Machine Learning Specialist needs to move and transform data in preparation for training. Some of the data needs to be processed in near-real time, and other data can be moved hourly. There are existing Amazon EMR MapReduce jobs to clean and feature engineering to perform on the data.

Which of the following services can feed data to the MapReduce jobs? (Choose two.)

AWS DMS
Amazon Kinesis
AWS Data Pipeline
Amazon Athena
Amazon ES

Answer(s): B,C

Reference:

https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapipeline.html

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QUESTION: 78

A Machine Learning Specialist previously trained a logistic regression model using scikit-learn on a local machine, and the Specialist now wants to deploy it to production for inference only.

What steps should be taken to ensure Amazon SageMaker can host a model that was trained locally?

Build the Docker image with the inference code. Tag the Docker image with the registry hostname and upload it to Amazon ECR.
Serialize the trained model so the format is compressed for deployment. Tag the Docker image with the registry hostname and upload it to Amazon S3.
Serialize the trained model so the format is compressed for deployment. Build the image and upload it to Docker Hub.
Build the Docker image with the inference code. Configure Docker Hub and upload the image to Amazon ECR.

Answer(s): A

Explanation:

For SageMaker to run a container for training or hosting, it needs to be able to find the image hosted in the image repository, Amazon Elastic Container Registry (Amazon ECR). The three main steps to this process are building locally, tagging with the repository location, and pushing the image to the repository.

Reference:

https://sagemaker-workshop.com/custom/containers.html

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QUESTION: 79

A trucking company is collecting live image data from its fleet of trucks across the globe. The data is growing rapidly and approximately 100 GB of new data is generated every day. The company wants to explore machine learning uses cases while ensuring the data is only accessible to specific IAM users.

Which storage option provides the most processing flexibility and will allow access control with IAM?

Use a database, such as Amazon DynamoDB, to store the images, and set the IAM policies to restrict access to only the desired IAM users.
Use an Amazon S3-backed data lake to store the raw images, and set up the permissions using bucket policies.
Setup up Amazon EMR with Hadoop Distributed File System (HDFS) to store the files, and restrict access to the EMR instances using IAM policies.
Configure Amazon EFS with IAM policies to make the data available to Amazon EC2 instances owned by the IAM users.

Answer(s): B

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QUESTION: 80

A credit card company wants to build a credit scoring model to help predict whether a new credit card applicant will default on a credit card payment. The company has collected data from a large number of sources with thousands of raw attributes. Early experiments to train a classification model revealed that many attributes are highly correlated, the large number of features slows down the training speed significantly, and that there are some overfitting issues.

The Data Scientist on this project would like to speed up the model training time without losing a lot of information from the original dataset.

Which feature engineering technique should the Data Scientist use to meet the objectives?

Run self-correlation on all features and remove highly correlated features
Normalize all numerical values to be between 0 and 1
Use an autoencoder or principal component analysis (PCA) to replace original features with new features
Cluster raw data using k-means and use sample data from each cluster to build a new dataset

Answer(s): C

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Free MLS-C01 Exam Braindumps (page: 20)

QUESTION: 77

Reference:

QUESTION: 78

Explanation:

Reference:

QUESTION: 79

QUESTION: 80