MLS-C01 認定デベロッパー - Amazon AWS Certified Machine Learning Specialty 資格勉強 - Royalholidayclubbed

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Amazon　MLS-C01認定デベロッパー試験認定書はIT職員野給料増加と仕事の昇進にとって、大切なものです。それで、我々社の無料のAmazon　MLS-C01認定デベロッパーデモを参考して、あなたに相応しい問題集を入手します。暇の時間を利用して勉強します。あなたはこれらのMLS-C01認定デベロッパー資格認定を持つ人々の一員になれると、いい仕事を探させます。MLS-C01認定デベロッパー資格認定は重要な課題になっていて、この資格認定書を所有している人は会社に得られる給料が高いです。多分、MLS-C01認定デベロッパーテスト質問の数が伝統的な問題の数倍である。

AWS Certified Specialty MLS-C01 あなたは心配する必要がないです。

Royalholidayclubbedの専門家チームがAmazonのMLS-C01 - AWS Certified Machine Learning - Specialty認定デベロッパー認証試験に対して最新の短期有効なトレーニングプログラムを研究しました。君の明るい将来を祈っています。みなさんにRoyalholidayclubbedを選ぶのはより安心させるためにRoyalholidayclubbedは部分のAmazon MLS-C01 受験記対策「AWS Certified Machine Learning - Specialty」試験材料がネットで提供して、君が無料でダウンロードすることができます。

RoyalholidayclubbedのAmazonのMLS-C01認定デベロッパー認証試験について最新な研究を完成いたしました。無料な部分ダウンロードしてください。きっと君に失望させないと信じています。

Amazon MLS-C01認定デベロッパー - これはIT職員の皆が熱望しているものです。

我々はあなたに提供するのは最新で一番全面的なAmazonのMLS-C01認定デベロッパー問題集で、最も安全な購入保障で、最もタイムリーなAmazonのMLS-C01認定デベロッパー試験のソフトウェアの更新です。無料デモはあなたに安心で購入して、購入した後1年間の無料AmazonのMLS-C01認定デベロッパー試験の更新はあなたに安心で試験を準備することができます、あなたは確実に購入を休ませることができます私たちのソフトウェアを試してみてください。もちろん、我々はあなたに一番安心させるのは我々の開発する多くの受験生に合格させるAmazonのMLS-C01認定デベロッパー試験のソフトウェアです。

プリセールス.サービスとアフターサービスに含まれているのです。RoyalholidayclubbedのAmazonのMLS-C01認定デベロッパー試験トレーニング資料を必要としたら、まず我々の無料な試用版の問題と解答を使ってみることができます。

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 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: 4
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: 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

by RHC.

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