最近、AmazonのMLS-C01最新試験情報試験は非常に人気のある認定試験です。あなたもこの試験の認定資格を取得したいのですか。さて、はやく試験を申し込みましょう。 しかし、AmazonのMLS-C01最新試験情報認定試験に合格するという夢は、Shobhadoshiに対して、絶対に掴められます。Shobhadoshiは親切なサービスで、AmazonのMLS-C01最新試験情報問題集が質の良くて、AmazonのMLS-C01最新試験情報認定試験に合格する率も１００パッセントになっています。 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。

AWS Certified Specialty MLS-C01 弊社の開発したソフトは非常に全面的です。

君がAmazonのMLS-C01 - AWS Certified Machine Learning - Specialty最新試験情報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。 ご購入の後、我々はタイムリーにあなたにAmazonのMLS-C01 関連復習問題集ソフトの更新情報を提供して、あなたの備考過程をリラクスにします。Shobhadoshiの発展は弊社の商品を利用してIT認証試験に合格した人々から得た動力です。

すべてのことの目的はあなたに安心に試験に準備さされるということです。弊社のShobhadoshiはIT認定試験のソフトの一番信頼たるバンドになるという目標を達成するために、弊社はあなたに最新版のAmazonのMLS-C01最新試験情報試験問題集を提供いたします。弊社のソフトを使用して、ほとんどのお客様は難しいと思われているAmazonのMLS-C01最新試験情報試験に順調に剛角しました。

Amazon MLS-C01最新試験情報 - こうして、君は安心で試験の準備を行ってください。

AmazonのMLS-C01最新試験情報試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でShobhadoshiは君の試験の問題を準備してしまいました。君の初めての合格を目標にします。

そしてあなたにMLS-C01最新試験情報試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。しかし、MLS-C01最新試験情報「AWS Certified Machine Learning - Specialty」試験は簡単ではありません。

MLS-C01 PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
A Machine Learning Specialist built an image classification deep learning model. However the
Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and
75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C

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Updated: May 28, 2022