それで、弊社の質高いMLS-C01無料サンプル試験資料を薦めさせてください。今の競争が激しい社会にあたり、あなたは努力して所有したいことがあります。IT職員にとって、MLS-C01無料サンプル試験認定書はあなたの実力を証明できる重要なツールです。 その結果、自信になる自己は面接のときに、面接官のいろいろな質問を気軽に回答できて、順調にMLS-C01無料サンプル向けの会社に入ります。自分の幸せは自分で作るものだと思われます。 私たちのMLS-C01無料サンプル参考資料は十年以上にわたり、専門家が何度も練習して、作られました。
AWS Certified Specialty MLS-C01 暇の時間を利用して勉強します。AWS Certified Specialty MLS-C01無料サンプル - AWS Certified Machine Learning - Specialty こうして、弊社の商品はどのくらいあなたの力になるのはよく分かっています。 そして、MLS-C01 対応内容試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。MLS-C01 対応内容試験参考書があれば,ほかの試験参考書を勉強する必要がないです。
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MLS-C01 PDF DEMO:QUESTION NO: 1 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: 2 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: 3 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: 4 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
QUESTION NO: 5 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
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Updated: May 28, 2022
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