Free AWS-Certified-Machine-Learning-Specialty Exam Braindumps

A machine learning specialist is developing a proof of concept for government users whose primary concern is security. The specialist is using Amazon SageMaker to train a convolutional neural network (CNN) model for a photo classifier application. The specialist wants to protect the data so that it cannot be accessed and transferred to a remote host by malicious code accidentally installed on the training container.
Which action will provide the MOST secure protection?

1. A. Remove Amazon S3 access permissions from the SageMaker execution role.
2. B. Encrypt the weights of the CNN model.
3. C. Encrypt the training and validation dataset.
4. D. Enable network isolation for training jobs.

Correct Answer: D

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket A Machine Learning Specialist wants to use SQL to run queries on this data. Which solution requires the LEAST effort to be able to query this data?

1. A. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries.
2. B. Use AWS Glue to catalogue the data and Amazon Athena to run queries
3. C. Use AWS Batch to run ETL on the data and Amazon Aurora to run the quenes
4. D. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries

Correct Answer: D

When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Select THREE.)

1. A. The training channel identifying the location of training data on an Amazon S3 bucket.
2. B. The validation channel identifying the location of validation data on an Amazon S3 bucket.
3. C. The 1AM role that Amazon SageMaker can assume to perform tasks on behalf of the users.
4. D. Hyperparameters in a JSON array as documented for the algorithm used.
5. E. The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.
6. F. The output path specifying where on an Amazon S3 bucket the trained model will persist.

Correct Answer: CEF

An Amazon SageMaker notebook instance is launched into Amazon VPC The SageMaker notebook references data contained in an Amazon S3 bucket in another account The bucket is encrypted using SSE-KMS The instance returns an access denied error when trying to access data in Amazon S3.
Which of the following are required to access the bucket and avoid the access denied error? (Select THREE )

1. A. An AWS KMS key policy that allows access to the customer master key (CMK)
2. B. A SageMaker notebook security group that allows access to Amazon S3
3. C. An 1AM role that allows access to the specific S3 bucket
4. D. A permissive S3 bucket policy
5. E. An S3 bucket owner that matches the notebook owner
6. F. A SegaMaker notebook subnet ACL that allow traffic to Amazon S3.

Correct Answer: ACF

A data scientist needs to identify fraudulent user accounts for a company's ecommerce platform. The company wants the ability to determine if a newly created account is associated with a previously known fraudulent user. The data scientist is using AWS Glue to cleanse the company's application logs during ingestion.
Which strategy will allow the data scientist to identify fraudulent accounts?

1. A. Execute the built-in FindDuplicates Amazon Athena query.
2. B. Create a FindMatches machine learning transform in AWS Glue.
3. C. Create an AWS Glue crawler to infer duplicate accounts in the source data.
4. D. Search for duplicate accounts in the AWS Glue Data Catalog.

Correct Answer: B