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AWS-Certified-Machine-Learning-Specialty試験解説、Amazon AWS-Certified-Machine-Learning-Specialty全真模擬試験 & AWS-Certified-Machine-Learning-Specialty - Royalholidayclubbed
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Royalholidayclubbedはずっと君のために最も正確なAmazonのAWS-Certified-Machine-Learning-Specialty試験解説「AWS Certified Machine Learning - Specialty」試験に関する資料を提供して、君が安心に選択することができます。君はオンラインで無料な練習問題をダウンロードできて、１００％で試験に合格しましょう。Royalholidayclubbed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。 成功したいのですか。成功したいのならRoyalholidayclubbedのAmazonのAWS-Certified-Machine-Learning-Specialty試験解説試験トレーニング資料を利用してください。 Amazon AWS-Certified-Machine-Learning-Specialty試験解説「AWS Certified Machine Learning - Specialty」認証試験に合格することが簡単ではなくて、Amazon AWS-Certified-Machine-Learning-Specialty試験解説証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty IT認定試験は様々あります。
AmazonのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty試験解説認定試験は実は技術専門家を認証する試験です。 非常に人気があるAmazonの認定試験の一つとして、この試験も大切です。しかし、試験の準備をよりよくできるために試験参考書を探しているときに、優秀な参考資料を見つけるのはたいへん難しいことがわかります。
それはあなたが夢を実現することを助けられます。夢を持ったら実現するために頑張ってください。「信仰は偉大な感情で、創造の力になれます。
Amazon AWS-Certified-Machine-Learning-Specialty試験解説 - あなたの夢は何ですか。
ITエリートになるという夢は現実の世界で叶えやすくありません。しかし、AmazonのAWS-Certified-Machine-Learning-Specialty試験解説認定試験に合格するという夢は、Royalholidayclubbedに対して、絶対に掴められます。Royalholidayclubbedは親切なサービスで、AmazonのAWS-Certified-Machine-Learning-Specialty試験解説問題集が質の良くて、AmazonのAWS-Certified-Machine-Learning-Specialty試験解説認定試験に合格する率も１００パッセントになっています。Royalholidayclubbedを選ぶなら、私たちは君の認定試験に合格するのを保証します。
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AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
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: 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 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: 4
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: 5
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
B. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
C. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
Answer: C
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Updated: May 28, 2022
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