AmazonのMLS-C01学習範囲試験の合格書は君の仕事の上で更に一歩の昇進と生活条件の向上を助けられて、大きな財産に相当します。AmazonのMLS-C01学習範囲認定試験はIT専門知識のレベルの考察として、とっても重要な地位になりつつます。Goldmile-Infobizは最も正確なAmazonのMLS-C01学習範囲試験資料を追求しています。 弊社が提供したすべての勉強資料と他のトレーニング資料はコスト効率の良い製品で、サイトが一年間の無料更新サービスを提供します。ですから、弊社のトレーニング製品はあなたが試験に合格することを助けにならなかったら、全額で返金することを保証します。 受験者はGoldmile-Infobizが提供した資料を利用してMLS-C01学習範囲認証試験は問題にならないだけでなく、高い点数も合格することができます。
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学習範囲 - AWS Certified Machine Learning - Specialty Goldmile-Infobizで、あなたは一番良い準備資料を見つけられます。 これは完全に実際の試験雰囲気とフォーマットをシミュレートするソフトウェアですから。このソフトで、あなたは事前に実際の試験を感じることができます。
もしあなたが初心者だったら、または自分の知識や専門的なスキルを高めたいのなら、Goldmile-InfobizのAmazonのMLS-C01学習範囲問題集があなたを助けることができ、一歩一歩でその念願を実現することにヘルプを差し上げます。Goldmile-InfobizのAmazonのMLS-C01学習範囲は試験に関する全ての質問が解決して差し上げられます。それに一年間の無料更新サービスを提供しますから、Goldmile-Infobizのウェブサイトをご覧ください。
Amazon MLS-C01学習範囲 - 」と思わないでください。
IT業界の発展とともに、IT業界で働いている人への要求がますます高くなります。競争の中で排除されないように、あなたはAmazonのMLS-C01学習範囲試験に合格しなければなりません。たくさんの時間と精力で試験に合格できないという心配な心情があれば、我々Goldmile-Infobizにあなたを助けさせます。多くの受験生は我々のソフトでAmazonのMLS-C01学習範囲試験に合格したので、我々は自信を持って我々のソフトを利用してあなたはAmazonのMLS-C01学習範囲試験に合格する保障があります。
それはより良く自分自身を向上させることができますから。もっと大切なのは、あなたもより多くの仕事のスキルをマスターしたことを証明することができます。
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
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Updated: May 28, 2022