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認証専門家や技術者及び全面的な言語天才がずっと最新のAmazonのAWS-Certified-Machine-Learning-Specialty日本語版復習指南試験を研究していますから、AmazonのAWS-Certified-Machine-Learning-Specialty日本語版復習指南認定試験に受かりたかったら、Royalholidayclubbedのサイトをクッリクしてください。あなたに成功に近づいて、夢の楽園に一歩一歩進めさせられます。Royalholidayclubbed AmazonのAWS-Certified-Machine-Learning-Specialty日本語版復習指南試験トレーニング資料というのは一体なんでしょうか。
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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
Microsoft SC-400J - できるだけ100%の通過率を保証使用にしています。 Cisco 300-410J - 現在、IT業界での激しい競争に直面しているあなたは、無力に感じるでしょう。 ただ、社会に入るIT卒業生たちは自分能力の不足で、SAP C-FIORD-2502試験向けの仕事を探すのを悩んでいますか?それでは、弊社のAmazonのSAP C-FIORD-2502練習問題を選んで実用能力を速く高め、自分を充実させます。 Royalholidayclubbed が提供したAmazonのGitHub GitHub-Advanced-Security問題集は実践の検査に合格したもので、最も良い品質であなたがAmazonのGitHub GitHub-Advanced-Security認定試験に合格することを保証します。 RoyalholidayclubbedのAmazon HP HPE7-A09問題集は専門家たちが数年間で過去のデータから分析して作成されて、試験にカバーする範囲は広くて、受験生の皆様のお金と時間を節約します。
Updated: May 28, 2022
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