Goldmile-InfobizのAmazonのAWS-Certified-Machine-Learning-Specialty復習攻略問題試験トレーニング資料は正確性が高くて、カバー率も広い。あなたがAmazonのAWS-Certified-Machine-Learning-Specialty復習攻略問題認定試験に合格するのに最も良くて、最も必要な学習教材です。うちのAmazonのAWS-Certified-Machine-Learning-Specialty復習攻略問題問題集を購入したら、私たちは一年間で無料更新サービスを提供することができます。 このトレーニング資料を持っていたら、試験のために充分の準備をすることができます。そうしたら、試験に受かる信心も持つようになります。 もしGoldmile-Infobizの学習教材を購入した後、どんな問題があれば、或いは試験に不合格になる場合は、私たちが全額返金することを保証いたします。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty ふさわしい方式を選ぶのは一番重要なのです。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty復習攻略問題 - AWS Certified Machine Learning - Specialty 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。 世界は変化している、我々はできるだけそのペースを維持する必要があります。我々Goldmile-InfobizはAmazonのAWS-Certified-Machine-Learning-Specialty 試験参考書試験の変化を注目しています。
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Amazon AWS-Certified-Machine-Learning-Specialty復習攻略問題 - しかも、サイトでテストデータの一部は無料です。
Amazon AWS-Certified-Machine-Learning-Specialty復習攻略問題認定資格試験の難しさなので、我々サイトAWS-Certified-Machine-Learning-Specialty復習攻略問題であなたに適当する認定資格試験問題集を見つけるし、本当の試験での試験問題の難しさを克服することができます。当社はAmazon AWS-Certified-Machine-Learning-Specialty復習攻略問題認定試験の最新要求にいつもでも関心を寄せて、最新かつ質高い模擬試験問題集を準備します。また、購入する前に、無料のPDF版デモをダウンロードして信頼性を確認することができます。
AmazonのAWS-Certified-Machine-Learning-Specialty復習攻略問題試験は挑戦がある認定試験です。現在、書籍の以外にインターネットは知識の宝庫として見られています。
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
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Updated: May 28, 2022