MLS-C01시험패스인증공부 & MLS-C01유효한덤프자료

Itexamdump MLS-C01 최신 PDF 버전 시험 문제집을 무료로 Google Drive에서 다운로드하세요: https://drive.google.com/open?id=19wHMcWxL74PEDAC8InNzaIJG04_3tBX2

우리Itexamdump의 덤프는 여러분이Amazon MLS-C01인증시험응시에 도움이 되시라고 제공되는 것입니다, 우라Itexamdump에서 제공되는 학습가이드에는Amazon MLS-C01인증시험관연 정보기술로 여러분이 이 분야의 지식 장악에 많은 도움이 될 것이며 또한 아주 정확한Amazon MLS-C01시험문제와 답으로 여러분은 한번에 안전하게 시험을 패스하실 수 있습니다,Amazon MLS-C01인증시험을 아주 높은 점수로 패스할 것을 보장해 드립니다,

최근 더욱 많은 분들이Amazon인증MLS-C01시험에 도전해보려고 합니다. Itexamdump에서는 여러분들의 시간돠 돈을 절약해드리기 위하여 저렴한 가격에 최고의 품질을 지닌 퍼펙트한Amazon인증MLS-C01시험덤플르 제공해드려 고객님의 시험준비에 편안함을 선물해드립니다. Itexamdump제품을 한번 믿어보세요.

>> MLS-C01시험패스 인증공부 <<

100% 합격보장 가능한 MLS-C01시험패스 인증공부 공부문제

우리Itexamdump 사이트에서Amazon MLS-C01관련자료의 일부 문제와 답 등 샘플을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다.체험 후 우리의Itexamdump에 신뢰감을 느끼게 됩니다.빨리 우리 Itexamdump의 덤프를 만나보세요.

AWS Certified Machine Learning - Specialty 자격증은 산업에서 극도로 높은 가치를 가지며, 전문가들에게 다양한 직업 기회를 제공할 수 있습니다. 이는 기계 학습 및 데이터 과학 분야에서 우수성의 기준으로 인정되며, 고용주들이 강력하게 추구하는 자격증입니다. 이 자격증은 전문가들이 다른 사람들과 빛날 수 있도록 도와주며, 기계 학습 분야에서의 전문성과 능력을 입증할 수 있습니다.

AWS Certified Machine Learning - Specialty 자격증 시험은 AWS에서 기계 학습 솔루션을 설계하고 구현하는 경험이 최소 1년 이상인 개인을 대상으로 합니다. 이 자격증은 데이터 과학자, 데이터 엔지니어, 소프트웨어 개발자 및 IT 전문가들이 기계 학습 분야에서 기술을 확장하고 전문성을 증명하고자 할 때 이상적입니다.

최신 AWS Certified Specialty MLS-C01 무료샘플문제 (Q181-Q186):

질문 # 181
A Machine Learning Specialist is attempting to build a linear regression model.
Given the displayed residual plot only, what is the MOST likely problem with the model?

A. Linear regression is appropriate. The residuals have constant variance.
B. Linear regression is inappropriate. The residuals do not have constant variance.
C. Linear regression is appropriate. The residuals have a zero mean.
D. Linear regression is inappropriate. The underlying data has outliers.

정답：A

질문 # 182
A data scientist has developed a machine learning translation model for English to Japanese by using Amazon SageMaker's built-in seq2seq algorithm with 500,000 aligned sentence pairs. While testing with sample sentences, the data scientist finds that the translation quality is reasonable for an example as short as five words. However, the quality becomes unacceptable if the sentence is 100 words long.
Which action will resolve the problem?

A. Change preprocessing to use n-grams.
B. Choose a different weight initialization type.
C. Add more nodes to the recurrent neural network (RNN) than the largest sentence's word count.
D. Adjust hyperparameters related to the attention mechanism.

정답：D

설명：
Explanation
The data scientist should adjust hyperparameters related to the attention mechanism to resolve the problem.
The attention mechanism is a technique that allows the decoder to focus on different parts of the input sequence when generating the output sequence. It helps the model cope with long input sequences and improve the translation quality. The Amazon SageMaker seq2seq algorithm supports different types of attention mechanisms, such as dot, general, concat, and mlp. The data scientist can use the hyperparameter attention_type to choose the type of attention mechanism. The data scientist can also use the hyperparameter attention_coverage_type to enable coverage, which is a mechanism that penalizes the model for attending to the same input positions repeatedly. By adjusting these hyperparameters, the data scientist can fine-tune the attention mechanism and reduce the number of false negative predictions by the model.
References:
Sequence-to-Sequence Algorithm - Amazon SageMaker
Attention Mechanism - Sockeye Documentation

질문 # 183
A university wants to develop a targeted recruitment strategy to increase new student enrollment. A data scientist gathers information about the academic performance history of students. The data scientist wants to use the data to build student profiles. The university will use the profiles to direct resources to recruit students who are likely to enroll in the university.
Which combination of steps should the data scientist take to predict whether a particular student applicant is likely to enroll in the university? (Select TWO)

A. Use a forecasting algorithm to run predictions.
B. Use the built-in Amazon SageMaker k-means algorithm to cluster the data into two groups named
"enrolled" or "not enrolled."
C. Use a classification algorithm to run predictions
D. Use Amazon SageMaker Ground Truth to sort the data into two groups named "enrolled" or "not enrolled."
E. Use a regression algorithm to run predictions.

정답：C,D

설명：
The data scientist should use Amazon SageMaker Ground Truth to sort the data into two groups named
"enrolled" or "not enrolled." This will create a labeled dataset that can be used for supervised learning. The data scientist should then use a classification algorithm to run predictions on the test data. A classification algorithm is a suitable choice for predicting a binary outcome, such as enrollment status, based on the input features, such as academic performance. A classification algorithm will output a probability for each class label and assign the most likely label to each observation.
References:
* Use Amazon SageMaker Ground Truth to Label Data
* Classification Algorithm in Machine Learning

질문 # 184
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements:
* Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum.
* Support event-driven ETL pipelines.
* Provide a quick and easy way to understand metadata.
Which approach meets trfese requirements?

A. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS Glue Data catalog to search and discover metadata.
B. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Glue ETL job, and an external Apache Hive metastore to search and discover metadata.
C. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Batch job, and an AWS Glue Data Catalog to search and discover metadata.
D. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch job, and an external Apache Hive metastore to search and discover metadata.

정답：A

설명：
Explanation
To build a robust serverless data lake on Amazon S3 that meets the requirements, the financial services company should use the following AWS services:
AWS Glue crawler: This is a service that connects to a data store, progresses through a prioritized list of classifiers to determine the schema for the data, and then creates metadata tables in the AWS Glue Data Catalog1. The company can use an AWS Glue crawler to crawl the S3 data and infer the schema, format, and partition structure of the data. The crawler can also detect schema changes and update the metadata tables accordingly. This enables the company to support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum, which are serverless interactive query services that use the AWS Glue Data Catalog as a central location for storing and retrieving table metadata23.
AWS Lambda function: This is a service that lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. You can also use AWS Lambda to create event-driven ETL pipelines, by triggering other AWS services based on events such as object creation or deletion in S3 buckets4. The company can use an AWS Lambda function to trigger an AWS Glue ETL job, which is a serverless way to extract, transform, and load data for analytics. The AWS Glue ETL job can perform various data processing tasks, such as converting data formats, filtering, aggregating, joining, and more.
AWS Glue Data Catalog: This is a managed service that acts as a central metadata repository for data assets across AWS and on-premises data sources. The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos, and use that metadata to query and transform the data. The company can use the AWS Glue Data Catalog to search and discover metadata, such as table definitions, schemas, and partitions. The AWS Glue Data Catalog also integrates with Amazon Athena, Amazon Redshift Spectrum, Amazon EMR, and AWS Glue ETL jobs, providing a consistent view of the data across different query and analysis services.
References:
1: What Is a Crawler? - AWS Glue
2: What Is Amazon Athena? - Amazon Athena
3: Amazon Redshift Spectrum - Amazon Redshift
4: What is AWS Lambda? - AWS Lambda
5: AWS Glue ETL Jobs - AWS Glue
6: What Is the AWS Glue Data Catalog? - AWS Glue

질문 # 185
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers. Currently, the company has the following data in Amazon Aurora:
* Profiles for all past and existing customers
* Profiles for all past and existing insured pets
* Policy-level information
* Premiums received
* Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?

A. Use clustering on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
B. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media.
C. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media.
D. Use regression on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media

정답：C

질문 # 186
......

거침없이 발전해나가는 IT업계에서 자신만의 자리를 동요하지 않고 단단히 지킬려면Amazon인증 MLS-C01시험은 무조건 패스해야 합니다. 하지만Amazon인증 MLS-C01시험패스는 하늘에 별따기 만큼 어렵습니다. 시험이 영어로 출제되어 공부자료 마련도 좀 힘든편입니다. 여러분들의 고민을 덜어드리기 위해Itexamdump에서는Amazon인증 MLS-C01시험의 영어버전 실제문제를 연구하여 실제시험에 대비한 영어버전Amazon인증 MLS-C01덤프를 출시하였습니다.전문적인 시험대비자료이기에 다른 공부자료는 필요없이Itexamdump에서 제공해드리는Amazon인증 MLS-C01영어버전덤프만 공부하시면 자격증을 딸수 있습니다.

MLS-C01유효한 덤프자료: https://www.itexamdump.com/MLS-C01.html

참고: Itexamdump에서 Google Drive로 공유하는 무료, 최신 MLS-C01 시험 문제집이 있습니다: https://drive.google.com/open?id=19wHMcWxL74PEDAC8InNzaIJG04_3tBX2

Jon Ward Jon Ward

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MLS-C01시험패스인증공부 & MLS-C01유효한덤프자료

100% 합격보장 가능한 MLS-C01시험패스 인증공부 공부문제

최신 AWS Certified Specialty MLS-C01 무료샘플문제 (Q181-Q186):

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