この試験に合格したいなら、よく準備する必要があります。NewValidDumpsの提供するAmazonのAWS-Certified-Machine-Learning-Specialty受験対策試験の資料は経験の豊富なチームに整理されています。現在あなたもこのような珍しい資料を得られます。 NewValidDumpsはあなたが首尾よく試験に合格することを助けるだけでなく、あなたの知識と技能を向上させることもできます。あなたが自分のキャリアでの異なる条件で自身の利点を発揮することを助けられます。 弊社のAmazonのAWS-Certified-Machine-Learning-Specialty受験対策真題によって、資格認定証明書を受け取れて、仕事の昇進を実現できます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty受験対策 - AWS Certified Machine Learning - Specialty NewValidDumpsはIT試験問題集を提供するウエブダイトで、ここによく分かります。 当社の資料は実践の検証に合格したもので、あなたが首尾よくIT認証試験に合格することを助けます。NewValidDumpsのAmazonのAWS-Certified-Machine-Learning-Specialty 合格体験談トレーニング資料を手に入れたらあなたはIT業種でもっとよい昇進を持つようになり、高レベルのホワイトカラーのトリートメントを楽しむこともできます。
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では、どうしたらいいでしょうか。大丈夫ですよ。
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
それはコストパフォーマンスが非常に高い資料ですから、もしあなたも私と同じIT夢を持っていたら、NewValidDumpsのAmazonのCisco 100-160試験トレーニング資料を利用してください。 Esri EAPP_2025 - は IBM C1000-132 - あなたの夢は何ですか。 しかし、AmazonのEsri EGMP2201認定試験に合格するという夢は、NewValidDumpsに対して、絶対に掴められます。 Microsoft MB-220 - あなたは試験の最新バージョンを提供することを要求することもできます。
Updated: May 28, 2022
試験コード:AWS-Certified-Machine-Learning-Specialty
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2024-12-21
問題と解答:全 308 問
Amazon AWS-Certified-Machine-Learning-Specialty 試験対策
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試験コード:AWS-Certified-Machine-Learning-Specialty
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2024-12-21
問題と解答:全 308 問
Amazon AWS-Certified-Machine-Learning-Specialty テスト内容
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試験コード:AWS-Certified-Machine-Learning-Specialty
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2024-12-21
問題と解答:全 308 問
Amazon AWS-Certified-Machine-Learning-Specialty 最新試験
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