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RoyalholidayclubbedのAmazonのAWS-Certified-Machine-Learning-Specialtyテスト対策書問題集を購入するなら、君がAmazonのAWS-Certified-Machine-Learning-Specialtyテスト対策書認定試験に合格する率は100パーセントです。あなたはRoyalholidayclubbedの学習教材を購入した後、私たちは一年間で無料更新サービスを提供することができます。AmazonのAWS-Certified-Machine-Learning-Specialtyテスト対策書認定試験に合格することはきっと君の職業生涯の輝い将来に大変役に立ちます。
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AWS-Certified-Machine-Learning-Specialty PDF DEMO:QUESTION NO: 1 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: 2 A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s) Which visualization will accomplish this? A. A scatter plot with points colored by target variable that uses (-Distributed Stochastic Neighbor Embedding (I-SNE) to visualize the large number of input variables in an easier-to-read dimension. B. A scatter plot showing (he performance of the objective metric over each training iteration C. A histogram showing whether the most important input feature is Gaussian. D. A scatter plot showing the correlation between maximum tree depth and the objective metric. Answer: A
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 receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations. Which solution should the Specialist recommend? A. A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database B. Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database C. Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database. D. Collaborative filtering based on user interactions and correlations to identify patterns in the customer database Answer: D
QUESTION NO: 5 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
この問題集は実際試験の問題をすべて含めることができるだけでなく、問題集のソフト版はSAP C_TS422_2023試験の雰囲気を完全にシミュレートすることもできます。 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UiPath UiPath-SAIAv1向けの会社に入ります。 Salesforce Service-Cloud-Consultant - この認定は君のもっと輝い職業生涯と未来に大変役に立ちます。 我々NAHQ CPHQ問題集の通過率は高いので、90%の合格率を保証します。 RoyalholidayclubbedのAmazonのCIPS L5M4問題集を購入するなら、君がAmazonのCIPS L5M4認定試験に合格する率は100パーセントです。
Updated: May 28, 2022
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