他の人はあちこちでAmazon MLS-C01試験感想試験資料を探しているとき、あなたはすでに勉強中で、準備階段でライバルに先立ちます。また、我々Goldmile-Infobizは量豊かのAmazon MLS-C01試験感想試験資料を提供しますし、ソフト版であなたにAmazon MLS-C01試験感想試験の最も現実的な環境をシミュレートさせます。勉強中で、何の質問があると、メールで我々はあなたのためにすぐ解決します。 Goldmile-Infobizが提供した問題と解答はIT領域のエリートたちが研究して、実践して開発されたものです。それは十年過ぎのIT認証経験を持っています。 私たちは、このキャリアの中で、10年以上にわたりプロとしてMLS-C01試験感想練習資料を作りました。
AWS Certified Specialty MLS-C01 やってみて第一歩を進める勇気があります。
AmazonのMLS-C01 - AWS Certified Machine Learning - Specialty試験感想認定試験の最新教育資料はGoldmile-Infobizの専門チームが研究し続けてついに登場し、多くの人の夢が実現させることができます。 我々のAmazonのMLS-C01 資格試験ソフトはあなたのすべての需要を満たすのを希望します。問題集の全面性と権威性、AmazonのMLS-C01 資格試験ソフトがPDF版、オンライン版とソフト版があるという資料のバーションの多様性、購入の前にデモの無料ダウンロード、購入の後でAmazonのMLS-C01 資格試験ソフトの一年間の無料更新、これ全部は我々の誠の心を示しています。
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Amazon MLS-C01試験感想 - 我々の商品にあなたを助けさせましょう。
AmazonのMLS-C01試験感想認証試験を選んだ人々が一層多くなります。MLS-C01試験感想試験がユニバーサルになりましたから、あなたはGoldmile-Infobiz のAmazonのMLS-C01試験感想試験問題と解答￥を利用したらきっと試験に合格するができます。それに、あなたに極大な便利と快適をもたらせます。実践の検査に何度も合格したこのサイトは試験問題と解答を提供しています。皆様が知っているように、Goldmile-InfobizはAmazonのMLS-C01試験感想試験問題と解答を提供している専門的なサイトです。
なぜならば、弊社は高品質かつ改革によってすぐに更新できるMLS-C01試験感想問題集を提供できるからです。弊社のMLS-C01試験感想問題集は大勢の専門家たちの努力で開発される成果です。
MLS-C01 PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 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 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
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Updated: May 28, 2022