MLS-C01 練習問題 & Amazon AWS Certified Machine Learning Specialty 的中問題集 - Omgzlook

MLS-C01練習問題復習教材は有効的な資料です。MLS-C01練習問題試験は難しいです。だから、MLS-C01練習問題復習教材を買いました。 我々の承諾だけでなく、お客様に最も全面的で最高のサービスを提供します。AmazonのMLS-C01練習問題の購入の前にあなたの無料の試しから、購入の後での一年間の無料更新まで我々はあなたのAmazonのMLS-C01練習問題試験に一番信頼できるヘルプを提供します。 あなたはその他のAmazon MLS-C01練習問題「AWS Certified Machine Learning - Specialty」認証試験に関するツールサイトでも見るかも知れませんが、弊社はIT業界の中で重要な地位があって、Omgzlookの問題集は君に100%で合格させることと君のキャリアに変らせることだけでなく一年間中で無料でサービスを提供することもできます。

AWS Certified Specialty MLS-C01 試験の準備は時間とエネルギーがかかります。

AWS Certified Specialty MLS-C01練習問題 - AWS Certified Machine Learning - Specialty 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。 Omgzlookが提供した問題と解答は現代の活力がみなぎる情報技術専門家が豊富な知識と実践経験を活かして研究した成果で、あなたが将来IT分野でより高いレベルに達することに助けを差し上げます。AmazonのMLS-C01 受験記の試験の資料やほかのトレーニング資料を提供しているサイトがたくさんありますが、AmazonのMLS-C01 受験記の認証試験の高品質の資料を提供しているユニークなサイトはOmgzlookです。

Amazon MLS-C01練習問題「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 MLS-C01練習問題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。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。

Amazon MLS-C01練習問題 - きっと望んでいるでしょう。

Amazonの認定試験は現在とても人気がある試験ですね。この重要な認証資格をもうすでに手に入れましたか。例えば、もう既にMLS-C01練習問題認定試験を受験したのですか。もしまだ受験していないなら、はやく行動する必要がありますよ。こんなに大切な資格を取らなくてはいけないです。ここで言いたいのは、どのようにすれば効率的にMLS-C01練習問題認定試験の準備をして一回で試験に合格できるのかということです。

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練習問題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。

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