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彼らにAmazonのAWS-Certified-Machine-Learning-Specialty真実試験試験に合格させました。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty真実試験 - AWS Certified Machine Learning - Specialty たくさんのひとは弊社の商品を使って、試験に順調に合格しました。 これがあったら、よい高い職位の通行証を持っているようです。Goldmile-Infobizの提供するAmazonのAWS-Certified-Machine-Learning-Specialty 参考資料試験の資料とソフトは経験が豊富なITエリートに開発されて、何回も更新されています。
今の人材が多い社会中に多くの業界は人材不足でたとえばIT業界はかなり技術的な人材が不足で、AmazonのAWS-Certified-Machine-Learning-Specialty真実試験認定試験はIT技術の認証試験の1つで、Goldmile-InfobizはAmazonのAWS-Certified-Machine-Learning-Specialty真実試験認証試験に関するの特別な技術を持ってサイトでございます。
Amazon AWS-Certified-Machine-Learning-Specialty真実試験 - あなたはまだ何を心配しているのですか。
AmazonのAWS-Certified-Machine-Learning-Specialty真実試験は専門知識と情報技術の検査として認証試験で、Goldmile-Infobizはあなたに一日早くAmazonの認証試験に合格させて、多くの人が大量の時間とエネルギーを費やしても無駄になりました。Goldmile-Infobizにその問題が心配でなく、わずか20時間と少ないお金をを使って楽に試験に合格することができます。Goldmile-Infobizは君に対して特別の訓練を提供しています。
誰もが成功する可能性があって、大切なのは選択することです。成功した方法を見つけるだけで、失敗の言い訳をしないでください。
AWS-Certified-Machine-Learning-Specialty 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
Goldmile-Infobizの問題集はIT専門家がAmazonのGoogle Associate-Cloud-Engineer-JPN「AWS Certified Machine Learning - Specialty」認証試験について自分の知識と経験を利用して研究したものでございます。 SAP C-SIGVT-2506 - あなたはIT職員としたら、Goldmile-Infobizはあなたが選ばなくてはならないトレーニング資料です。 HP HPE0-J81 - 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。 Microsoft AZ-801 - では、常に自分自身をアップグレードする必要があります。 高い価格のトレーニング授業を受けることはなくて、Goldmile-Infobiz AmazonのBCS PC-BA-FBA-20試験トレーニング資料をショッピングカートに入れる限り、我々はあなたが気楽に試験に合格することを助けられます。
Updated: May 28, 2022