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MLS-C01 Question and answers Include

Total Questions: 281 Q&A's
Single Choice: 232 Q&A's
Multiple Choice: 49 Q&A's

Amazon Web Services MLS-C01 Exam Dumps - Valid Questions Answers

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MLS-C01 Questions and Answers

Question # 1

An automotive company uses computer vision in its autonomous cars. The company trained its object detection models successfully by using transfer learning from a convolutional neural network (CNN). The company trained the models by using PyTorch through the Amazon SageMaker SDK.

The vehicles have limited hardware and compute power. The company wants to optimize the model to reduce memory, battery, and hardware consumption without a significant sacrifice in accuracy.

Which solution will improve the computational efficiency of the models?

A.

Use Amazon CloudWatch metrics to gain visibility into the SageMaker training weights, gradients, biases, and activation outputs. Compute the filter ranks based on the training information. Apply pruning to remove the low-ranking filters. Set new weights based on the pruned set of filters. Run a new training job with the pruned model.

B.

Use Amazon SageMaker Ground Truth to build and run data labeling workflows. Collect a larger labeled dataset with the labelling workflows. Run a new training job that uses the new labeled data with previous training data.

C.

Use Amazon SageMaker Debugger to gain visibility into the training weights, gradients, biases, and activation outputs. Compute the filter ranks based on the training information. Apply pruning to remove the low-ranking filters. Set the new weights based on the pruned set of filters. Run a new training job with the pruned model.

D.

Use Amazon SageMaker Model Monitor to gain visibility into the ModelLatency metric and OverheadLatency metric of the model after the company deploys the model. Increase the model learning rate. Run a new training job.

Question # 2

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.)

A.

Connect to SageMaker by using a VPC interface endpoint powered by AWS PrivateLink.

B.

Use SCPs to restrict access to SageMaker.

C.

Disable root access on the SageMaker notebook instances.

D.

Enable network isolation for training jobs and models.

E.

Restrict notebook presigned URLs to specific IPs used by the company.

F.

Protect data with encryption at rest and in transit. Use AWS Key Management Service (AWS KMS) to manage encryption keys.

Question # 3

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?

A.

Use AWS Data Pipeline to transform the data and Amazon RDS to run queries.

B.

Use AWS Glue to catalogue the data and Amazon Athena to run queries.

C.

Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries.

D.

Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries.

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FAQs for Amazon Web Services MLS-C01 Exam Dumps

What is the Amazon Web Services MLS-C01 exam?

The AWS Certified Machine Learning - Specialty (MLS-C01) exam validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

What is the format of the Amazon Web Services MLS-C01 exam?

The MLS-C01 exam features a combination of two question formats: multiple choice and multiple response. Youll have 180 minutes to complete the exam, which consists of 65 questions.

What is the Amazon Web Services MLS-C01 focused on?

The Amazon Web Services MLS-C01 focuses on building, training, tuning, and deploying ML models on AWS. It covers topics such as ML algorithms, hyperparameter optimization, frameworks, and best practices for model training and deployment.

What is the worth of taking the AWS Certified Specialty MLS-C01 exam?

Earning the AWS Certified Machine Learning - Specialty certification demonstrates your expertise in ML on AWS and can enhance your career prospects. It helps organizations identify and develop talent with critical skills for implementing cloud initiatives.

Is the AWS Certified Specialty MLS-C01 exam easy?

The difficulty level varies for each individual. However, thorough preparation, hands-on experience, and understanding of ML concepts will contribute to your success in the exam.

What is the passing score for the Amazon Web Services MLS-C01 exam?

The MLS-C01 exam uses a scaled scoring model, where your raw score is converted to a scaled score between 100 and 1,000. The minimum passing score is 750.

What is the difference between Amazon Web Services MLS-C01 and AXS-C01 certification exams?

Both are specialty exams but cover different AWS service areas. The MLS-C01 Exam focuses on machine learning, while the AXS-C01 Exam is related to Alexa Skill Builder.

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