IT認定試験の中でどんな試験を受けても、OmgzlookのMLS-C01無料試験試験参考資料はあなたに大きなヘルプを与えることができます。それは OmgzlookのMLS-C01無料試験問題集には実際の試験に出題される可能性がある問題をすべて含んでいて、しかもあなたをよりよく問題を理解させるように詳しい解析を与えますから。真剣にOmgzlookのAmazon MLS-C01無料試験問題集を勉強する限り、受験したい試験に楽に合格することができるということです。 弊社が提供した商品を利用すると試験にたやすく合格しました。AmazonのMLS-C01無料試験認証試験に関する訓練は対応性のテストで君を助けることができて、試験の前に十分の準備をさしあげます。 その中で、MLS-C01無料試験認定試験は最も重要な一つです。
AWS Certified Specialty MLS-C01 きっと望んでいるでしょう。
Amazon MLS-C01 - AWS Certified Machine Learning - Specialty無料試験試験問題集を購買してから、一年間の無料更新を楽しみにしています。 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。最新のMLS-C01 最新日本語版参考書試験問題を知りたい場合、試験に合格したとしてもOmgzlookは無料で問題集を更新してあげます。
そうしたら、Amazon MLS-C01無料試験試験はそんなに簡単なことだと知られます。Amazon MLS-C01無料試験試験を難しく感じる人に「やってもいないのに、できないと言わないこと」を言いたいです。我々OmgzlookへのAmazon MLS-C01無料試験試験問題集は専業化のチームが長時間で過去のデータから分析研究された成果で、あなたを試験に迅速的に合格できるのを助けます。
Amazon MLS-C01無料試験 - まだなにを待っていますか。
MLS-C01無料試験認定試験に合格することは難しいようですね。試験を申し込みたいあなたは、いまどうやって試験に準備すべきなのかで悩んでいますか。そうだったら、下記のものを読んでください。いまMLS-C01無料試験試験に合格するショートカットを教えてあげますから。あなたを試験に一発合格させる素晴らしいMLS-C01無料試験試験に関連する参考書が登場しますよ。それはOmgzlookのMLS-C01無料試験問題集です。気楽に試験に合格したければ、はやく試しに来てください。
あなたはOmgzlookの学習教材を購入した後、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。IT業種が新しい業種で、経済発展を促進するチェーンですから、極めて重要な存在だということを良く知っています。
MLS-C01 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 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: 3
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: 4
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
QUESTION NO: 5
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
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Updated: May 28, 2022