Goldmile-Infobiz제공되는 자료는 지식을 장악할 수 있는 반면 많은 경험도 쌓을 수 있습니다. Goldmile-Infobiz는 많은 IT인사들의 요구를 만족시켜드릴 수 있는 사이트입니다. 비록Amazon AWS-Certified-Machine-Learning-Specialty인증시험인증시험은 어렵지만 우리Goldmile-Infobiz의 문제집으로 가이드 하면 여러분은 아주 자신만만하게 응시하실 수 있습니다. Amazon인증AWS-Certified-Machine-Learning-Specialty인증시험시험은 IT인증시험과목중 가장 인기있는 시험입니다. Goldmile-Infobiz에서는Amazon인증AWS-Certified-Machine-Learning-Specialty인증시험시험에 대비한 공부가이드를 발췌하여 IT인사들의 시험공부 고민을 덜어드립니다. Goldmile-Infobiz시험공부자료를 선택하시면 자격증취득의 소원이 이루어집니다.
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Goldmile-Infobiz의Amazon인증 AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty인증시험덤프에는 실제시험문제의 기출문제와 예상문제가 수록되어있어 그 품질 하나 끝내줍니다.적중율 좋고 가격저렴한 고품질 덤프는Goldmile-Infobiz에 있습니다. Amazon인증 AWS-Certified-Machine-Learning-Specialty 시험합격시험은 널리 인정받는 인기자격증의 시험과목입니다. Amazon인증 AWS-Certified-Machine-Learning-Specialty 시험합격시험을 패스하여 자격증을 취득하면 소원이 이루어집니다.
Goldmile-Infobiz에서는 가장 최신이자 최고인Amazon인증 AWS-Certified-Machine-Learning-Specialty인증시험시험덤프를 제공해드려 여러분이 IT업계에서 더 순조롭게 나아가도록 최선을 다해드립니다. Amazon인증 AWS-Certified-Machine-Learning-Specialty인증시험덤프는 최근 실제시험문제를 연구하여 제작한 제일 철저한 시험전 공부자료입니다. Amazon인증 AWS-Certified-Machine-Learning-Specialty인증시험시험준비자료는 Goldmile-Infobiz에서 마련하시면 기적같은 효과를 안겨드립니다.
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Amazon AWS-Certified-Machine-Learning-Specialty인증시험 덤프는Amazon AWS-Certified-Machine-Learning-Specialty인증시험시험문제변경에 따라 주기적으로 업데이트를 진행하여 저희 덤프가 항상 가장 최신버전이도록 보장해드립니다. 고객님들에 대한 깊은 배려의 마음으로 고품질Amazon AWS-Certified-Machine-Learning-Specialty인증시험덤프를 제공해드리고 디테일한 서비스를 제공해드리는것이 저희의 목표입니다.
Goldmile-Infobiz는 전문적으로 it인증시험관련문제와 답을 만들어내는 제작팀이 있으며, Pass4Tes 이미지 또한 업계에서도 이름이 있답니다 만약Amazon인증AWS-Certified-Machine-Learning-Specialty인증시험시험을 통과하고 싶다면, Pass4Tes의 선택을 추천합니다.
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