ご購入した一年間、あなたはAmazonのMLS-C01模擬試験サンプルソフトの最新の資料を無料で得られます。品質は、時間と量の試練に耐えることです。我々Royalholidayclubbedがあなたに提供するAmazonのMLS-C01模擬試験サンプルソフトはこれを保証します。 あなたは自分の望ましいAmazon MLS-C01模擬試験サンプル問題集を選らんで、学びから更なる成長を求められます。心はもはや空しくなく、生活を美しくなります。 我々RoyalholidayclubbedはAmazonのMLS-C01模擬試験サンプル試験の変化を注目しています。
AWS Certified Specialty MLS-C01 弊社の商品が好きなのは弊社のたのしいです。AWS Certified Specialty MLS-C01模擬試験サンプル - AWS Certified Machine Learning - Specialty 躊躇わなくて、Royalholidayclubbedサイト情報を早く了解して、あなたに試験合格を助かってあげますようにお願いいたします。 Royalholidayclubbed を選択して100%の合格率を確保することができて、もし試験に失敗したら、Royalholidayclubbedが全額で返金いたします。
多くのお客様は私たちAmazon MLS-C01模擬試験サンプルクイズに十分な信頼を持っています。Amazon MLS-C01模擬試験サンプル試験問題のデモを無料でダウンロードできます。そうすれば、自分はMLS-C01模擬試験サンプル試験問題集を買うかどうか決めることができます。
Amazon MLS-C01模擬試験サンプル - Royalholidayclubbedを選んだら、成功への扉を開きます。Royalholidayclubbedは異なるトレーニングツールと資源を提供してあなたのAmazonのMLS-C01模擬試験サンプルの認証試験の準備にヘルプを差し上げます。編成チュートリアルは授業コース、実践検定、試験エンジンと一部の無料なPDFダウンロードを含めています。
問題が更新される限り、Royalholidayclubbedは直ちに最新版のMLS-C01模擬試験サンプル資料を送ってあげます。そうすると、あなたがいつでも最新バージョンの資料を持っていることが保証されます。
MLS-C01 PDF DEMO:QUESTION NO: 1 Amazon Connect has recently been tolled out across a company as a contact call center The solution has been configured to store voice call recordings on Amazon S3 The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon Transcribe is being used to convert the audio to text, and the output is stored on Amazon S3 Which approach will provide the information required for further analysis? A. Use Amazon Comprehend with the transcribed files to build the key topics B. Use the AWS Deep Learning AMI with Gluon Semantic Segmentation on the transcribed files to train and build a model for the key topics C. Use Amazon Translate with the transcribed files to train and build a model for the key topics D. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the transcribed files to generate a word embeddings dictionary for the key topics Answer: C
QUESTION NO: 2 A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which solution would allow the use of SQL to query the stream with the LEAST latency? A. Amazon Kinesis Data Firehose to transform the data and put it into an Amazon S3 bucket. B. Amazon Kinesis Data Analytics with an AWS Lambda function to transform the data. C. AWS Glue with a custom ETL script to transform the data. D. An Amazon Kinesis Client Library to transform the data and save it to an Amazon ES cluster. Answer: B
QUESTION NO: 3 A Machine Learning Specialist is using Amazon SageMaker to host a model for a highly available customer-facing application . The Specialist has trained a new version of the model, validated it with historical data, and now wants to deploy it to production To limit any risk of a negative customer experience, the Specialist wants to be able to monitor the model and roll it back, if needed What is the SIMPLEST approach with the LEAST risk to deploy the model and roll it back, if needed? A. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by using a load balancer Revert traffic to the last version if the model does not perform as expected. B. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 5% of the traffic to the new variant. Revert traffic to the last version by resetting the weights if the model does not perform as expected. C. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 100% of the traffic to the new variant Revert traffic to the last version by resetting the weights if the model does not perform as expected. D. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by updating the client configuration. Revert traffic to the last version if the model does not perform as expected. Answer: D
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 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
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Updated: May 28, 2022
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