Omgzlookが提供した問題と解答はIT領域のエリートたちが研究して、実践して開発されたものです。それは十年過ぎのIT認証経験を持っています。OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty出題内容の試験問題と解答は当面の市場で最も徹底的な正確的な最新的な模擬テストです。 数年以来の整理と分析によって開発されたAWS-Certified-Machine-Learning-Specialty出題内容問題集は権威的で全面的です。AWS-Certified-Machine-Learning-Specialty出題内容問題集を利用して試験に合格できます。 君がAmazonのAWS-Certified-Machine-Learning-Specialty出題内容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。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty やってみて第一歩を進める勇気があります。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty出題内容 - AWS Certified Machine Learning - Specialty どんな業界で自分に良い昇進機会があると希望する職人がとても多いと思って、IT業界にも例外ではありません。 我々のAmazonのAWS-Certified-Machine-Learning-Specialty 認定資格試験ソフトはあなたのすべての需要を満たすのを希望します。問題集の全面性と権威性、AmazonのAWS-Certified-Machine-Learning-Specialty 認定資格試験ソフトがPDF版、オンライン版とソフト版があるという資料のバーションの多様性、購入の前にデモの無料ダウンロード、購入の後でAmazonのAWS-Certified-Machine-Learning-Specialty 認定資格試験ソフトの一年間の無料更新、これ全部は我々の誠の心を示しています。
Omgzlookの専門家チームが君の需要を満たすために自分の経験と知識を利用してAmazonのAWS-Certified-Machine-Learning-Specialty出題内容認定試験対策模擬テスト問題集が研究しました。模擬テスト問題集と真実の試験問題がよく似ています。一目でわかる最新の出題傾向でわかりやすい解説と充実の補充問題があります。
Amazon AWS-Certified-Machine-Learning-Specialty出題内容 - 我々の商品にあなたを助けさせましょう。
OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty出題内容の試験問題は同じシラバスに従って、実際のAmazonのAWS-Certified-Machine-Learning-Specialty出題内容認証試験にも従っています。弊社はずっとトレーニング資料をアップグレードしていますから、提供して差し上げた製品は一年間の無料更新サービスの景品があります。あなたはいつでもサブスクリプションの期間を延長することができますから、より多くの時間を取って充分に試験を準備できます。Omgzlookというサイトのトレーニング資料を利用するかどうかがまだ決まっていなかったら、Omgzlookのウェブで一部の試験問題と解答を無料にダウンローしてみることができます。あなたに向いていることを確かめてから買うのも遅くないですよ。あなたが決して後悔しないことを保証します。
なぜならば、弊社は高品質かつ改革によってすぐに更新できるAWS-Certified-Machine-Learning-Specialty出題内容問題集を提供できるからです。弊社のAWS-Certified-Machine-Learning-Specialty出題内容問題集は大勢の専門家たちの努力で開発される成果です。
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