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Amazon Web Services Updated MLS-C01 Exam Questions and Answers by chaim

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Amazon Web Services MLS-C01 Exam Overview :

Exam Name: AWS Certified Machine Learning - Specialty
Exam Code: MLS-C01 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Specialty
Questions: 307 Q&A's Shared By: chaim
Question 16

A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which solution would allow the use of SQL to query the stream with the LEAST latency?

Options:

A.

Amazon Kinesis Data Analytics with an AWS Lambda function to transform the data.

B.

AWS Glue with a custom ETL script to transform the data.

C.

An Amazon Kinesis Client Library to transform the data and save it to an Amazon ES cluster.

D.

Amazon Kinesis Data Firehose to transform the data and put it into an Amazon S3 bucket.

Discussion
Question 17

Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?

Options:

A.

Recall

B.

Misclassification rate

C.

Mean absolute percentage error (MAPE)

D.

Area Under the ROC Curve (AUC)

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Question 18

A Data Scientist needs to analyze employment data. The dataset contains approximately 10 million

observations on people across 10 different features. During the preliminary analysis, the Data Scientist notices

that income and age distributions are not normal. While income levels shows a right skew as expected, with fewer individuals having a higher income, the age distribution also show a right skew, with fewer older

individuals participating in the workforce.

Which feature transformations can the Data Scientist apply to fix the incorrectly skewed data? (Choose two.)

Options:

A.

Cross-validation

B.

Numerical value binning

C.

High-degree polynomial transformation

D.

Logarithmic transformation

E.

One hot encoding

Discussion
Question 19

A machine learning (ML) engineer has created a feature repository in Amazon SageMaker Feature Store for the company. The company has AWS accounts for development, integration, and production. The company hosts a feature store in the development account. The company uses Amazon S3 buckets to store feature values offline. The company wants to share features and to allow the integration account and the production account to reuse the features that are in the feature repository.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

A.

Create an IAM role in the development account that the integration account and production account can assume. Attach IAM policies to the role that allow access to the feature repository and the S3 buckets.

B.

Share the feature repository that is associated the S3 buckets from the development account to the integration account and the production account by using AWS Resource Access Manager (AWS RAM).

C.

Use AWS Security Token Service (AWS STS) from the integration account and the production account to retrieve credentials for the development account.

D.

Set up S3 replication between the development S3 buckets and the integration and production S3 buckets.

E.

Create an AWS PrivateLink endpoint in the development account for SageMaker.

Discussion
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