我々が決まったことを完璧に作るためにすべての不要な機会を諦めなければなりません。第三、我々は確かに最高の製品を持っていますが、粗悪品の方式で表示されたら、もちろん粗悪品と見られますから、我々は自分の製品を創造的かつプロの方法で見せます。RoyalholidayclubbedのAmazonのAWS-Certified-Machine-Learning-Specialty資格勉強試験トレーニング資料はこんなに成功するトレーニングですから、Royalholidayclubbedを選ばない理由はないです。 ためらわずに速くあなたのショッピングカートに入れてください。でないと、絶対後悔しますよ。 RoyalholidayclubbedのAmazonのAWS-Certified-Machine-Learning-Specialty資格勉強「AWS Certified Machine Learning - Specialty」試験はあなたが成功することを助けるトレーニング資料です。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty それでも恐れることはありません。それは RoyalholidayclubbedのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty資格勉強問題集には実際の試験に出題される可能性がある問題をすべて含んでいて、しかもあなたをよりよく問題を理解させるように詳しい解析を与えますから。 皆さんからいろいろな好評をもらいました。しかも、Royalholidayclubbedは当面の市場で皆さんが一番信頼できるサイトです。
Amazonの認証資格は最近ますます人気になっていますね。国際的に認可された資格として、Amazonの認定試験を受ける人も多くなっています。その中で、AWS-Certified-Machine-Learning-Specialty資格勉強認定試験は最も重要な一つです。
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AWS-Certified-Machine-Learning-Specialty 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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