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AWS Certified Specialty MLS-C01 ここにはあなたが最も欲しいものがありますから。
AWS Certified Specialty MLS-C01真実試験 - AWS Certified Machine Learning - Specialty もしまだ受験していないなら、はやく行動する必要がありますよ。 そうすれば、実際のMLS-C01 模擬問題集試験を受けるときに緊張をすることはないです。ですから、心のリラックスした状態で試験に出る問題を対応することができ、あなたの正常なレベルをプレイすることもできます。
それに、すべてのMLS-C01真実試験試験問題集に対する無料なdemoがあります。Goldmile-InfobizのMLS-C01真実試験問題集があなたに適するかどうかを確認したいなら、まず問題集のデモをダウンロードして体験してください。難しいMLS-C01真実試験認定試験に合格したいなら、試験の準備をするときに関連する参考書を使わないとダメです。
Amazon MLS-C01真実試験 - あなたは復習資料に悩んでいるかもしれません。
ご客様は弊社のMLS-C01真実試験問題集を購入するかどうかと判断する前に、我が社は無料に提供するサンプルをダウンロードして試すことができます。それで、不必要な損失を避けできます。ご客様はMLS-C01真実試験問題集を購入してから、勉強中で何の質問があると、行き届いたサービスを得られています。ご客様はMLS-C01真実試験資格認証試験に失敗したら、弊社は全額返金できます。その他、MLS-C01真実試験問題集の更新版を無料に提供します。
Goldmile-InfobizはあなたのAmazonのMLS-C01真実試験試験を準備する間あなたの最もよい友達です。商品を購入するとき、信頼できる会社を選ぶことができます。
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 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: 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
この悩みに対して、我々社Goldmile-InfobizはAmazonのMicrosoft MS-900-KR試験に準備するあなたに専門的なヘルプを与えられます。 弊社はCisco 350-501問題集の英語版と日本語版をリリースしています。 Google Professional-Data-Engineer - 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。 CompTIA PK0-005 - 我が社のサービスもいいです。 私たちのCloud Security Alliance CCSK-JPN練習資料を利用したら、Cloud Security Alliance CCSK-JPN試験に合格した人がかなり多いです。
Updated: May 28, 2022