Amazon인증AWS-Certified-Machine-Learning-Specialty인기시험시험준비를 하고 계시다면Omgzlook에서 출시한Amazon인증AWS-Certified-Machine-Learning-Specialty인기시험덤프를 제일 먼저 추천해드리고 싶습니다. Omgzlook제품은 여러분들이 제일 간편한 방법으로 시험에서 고득점을 받을수 있도록 도와드리는 시험동반자입니다. Amazon인증AWS-Certified-Machine-Learning-Specialty인기시험시험패는Omgzlook제품으로 고고고! Omgzlook의 자료는 시험대비최고의 덤프로 시험패스는 문제없습니다. Omgzlook의 각종인증시험자료는 모두기출문제와 같은 것으로 덤프보고 시험패스는 문제없습니다. 시험이 영어로 출제되어 공부자료 마련도 좀 힘든편입니다.
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다.
Omgzlook는 여러분이Amazon AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty인기시험인증시험을 통과할 수 잇도록 도와주는 사이트입니다. Amazon인증 AWS-Certified-Machine-Learning-Specialty IT인증시험덤프뿐만아니라 IT인증시험에 관한 모든 덤프를 제공해드립니다. Omgzlook의 Amazon인증 AWS-Certified-Machine-Learning-Specialty IT인증시험덤프를 선택하여Amazon인증 AWS-Certified-Machine-Learning-Specialty IT인증시험시험공부를 하는건 제일 현명한 선택입니다.
Omgzlook에서는 소프트웨어버전과 PDF버전 두가지버전으로 덤프를 제공해드립니다.PDF버전은 구매사이트에서 무료샘플을 다움받아 체험가능합니다. 소프트웨어버전은실력테스트용으로 PDF버전공부후 보조용으로 사용가능합니다. Amazon 인증AWS-Certified-Machine-Learning-Specialty인기시험덤프 무료샘플을 다운받아 체험해보세요.
Amazon인증 Amazon AWS-Certified-Machine-Learning-Specialty인기시험시험은 IT인사들중에서 뜨거운 인기를 누리고 있습니다.
Amazon AWS-Certified-Machine-Learning-Specialty인기시험인증시험을 패스하려면 시험대비자료선택은 필수입니다. 우리Omgzlook에서는 빠른 시일 내에Amazon AWS-Certified-Machine-Learning-Specialty인기시험관련 자료를 제공할 수 있습니다. Omgzlook의 전문가들은 모두 경험도 많고, 그들이 연구자료는 실제시험의 문제와 답과 거이 일치합니다. Omgzlook 는 인증시험에 참가하는 분들한테 편리를 제공하는 사이트이며,여러분들이 시험패스에 도움을 줄 수 있는 사이트입니다.
최근 IT 업종에 종사하는 분들이 점점 늘어가는 추세하에 경쟁이 점점 치열해지고 있습니다. IT인증시험은 국제에서 인정받는 효력있는 자격증을 취득하는 과정으로서 널리 알려져 있습니다.
AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
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 a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
B. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
C. Use regression on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
D. Use clustering on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
Answer: B
QUESTION NO: 2
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A. Receiver operating characteristic (ROC) curve
B. Misclassification rate
C. Root Mean Square Error (RM&)
D. L1 norm
Answer: A
QUESTION NO: 3
A Machine Learning Specialist built an image classification deep learning model. However the
Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and
75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C
QUESTION NO: 4
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
B. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
C. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
Answer: C
QUESTION NO: 5
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Select THREE.)
A. Decrease dropout.
B. Increase regularization.
C. Increase feature combinations.
D. Decrease feature combinations.
E. Decrease regularization.
F. Increase dropout.
Answer: A,B,C
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Updated: May 28, 2022