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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty どんなツールかと聞きたいでしょう。

ShobhadoshiのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty的中合格問題集問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。 ShobhadoshiはAmazonのAWS-Certified-Machine-Learning-Specialty 資格講座試験の最新の問題集を提供するの専門的なサイトです。AmazonのAWS-Certified-Machine-Learning-Specialty 資格講座問題集はAWS-Certified-Machine-Learning-Specialty 資格講座に関する問題をほとんど含まれます。

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Amazon AWS-Certified-Machine-Learning-Specialty的中合格問題集 - 常々、時間とお金ばかり効果がないです。

我々は販売者とお客様の間の信頼が重要でもらい難いのを知っています。我々はAmazonのAWS-Certified-Machine-Learning-Specialty的中合格問題集ソフトであなたに専門と高効率を示して、最全面的な問題集と詳しい分析であなたに助けてAmazonのAWS-Certified-Machine-Learning-Specialty的中合格問題集試験に合格して、最高のサービスであなたの信頼を得ています。あなたが試験に合格するのは我々への一番よい評価です。

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AWS-Certified-Machine-Learning-Specialty PDF DEMO:

QUESTION NO: 1
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: 2
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: 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

AmazonのAmazon AWS-Certified-Machine-Learning-Specialty試験のための資料がたくさんありますが、Shobhadoshiの提供するのは一番信頼できます。 その結果、自信になる自己は面接のときに、面接官のいろいろな質問を気軽に回答できて、順調にSalesforce Platform-App-Builder向けの会社に入ります。 あなたに安心にAmazonのSalesforce PDI-JPNソフトを購入させるために、我々は最も安全的な支払手段を提供します。 我々CheckPoint 156-536問題集の通過率は高いので、90％の合格率を保証します。 なぜならば、IT職員にとって、AmazonのSalesforce ADX-211資格証明書があるのは肝心な指標であると言えます。

Updated: May 28, 2022