だから我々は常に更新を定期的にAmazonのMLS-C01問題集試験を確認しています。更新されたら、当社製品を使用しているお客様を通知して彼らに最新の情報を理解させます。すべての更新サービスは弊社のAmazonのMLS-C01問題集ソフトを購入した後の一年間で無料です。 私の夢は最高のIT専門家になることです。その夢は私にとってはるか遠いです。 そうであれば、あなたは夢がある人だと思います。

AWS Certified Specialty MLS-C01 我々はほぼ100％の通過率であなたに安心させます。

AWS Certified Specialty MLS-C01問題集 - AWS Certified Machine Learning - Specialty 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。 購入したい意向があれば、我々Shobhadoshiのホームページをご覧になってください。一番優秀な資料を探すのは大変ですか？AmazonのMLS-C01 最新な問題集試験に合格するのは難しいですか？我が社ShobhadoshiのMLS-C01 最新な問題集を通して、これらの問題を簡単に解決できます。

Shobhadoshiの問題集を利用することは正にその最良の方法です。Shobhadoshiはあなたが必要とするすべてのMLS-C01問題集参考資料を持っていますから、きっとあなたのニーズを満たすことができます。Shobhadoshiのウェブサイトに行ってもっとたくさんの情報をブラウズして、あなたがほしい試験MLS-C01問題集参考書を見つけてください。

Amazon MLS-C01問題集 - 不思議でしょう。

MLS-C01問題集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問題集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問題集試験に関連する参考書が登場しますよ。それはShobhadoshiのMLS-C01問題集問題集です。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。

Shobhadoshiは専門的で、たくさんの受験生のために、君だけのために存在するのです。それは正確的な試験の内容を保証しますし、良いサービスで、安い価格で営業します。

MLS-C01 PDF DEMO:

QUESTION NO: 1
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A. Receiver operating characteristic (ROC) curve
B. Misclassification rate
C. Root Mean Square Error (RM&)
D. L1 norm
Answer: A

QUESTION NO: 2
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

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 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: 5
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in
Amazon Aurora
* Profiles for all past and existing customers
* Profiles for all past and existing insured pets
* Policy-level information
* Premiums received
* Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
B. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
C. Use regression on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
D. Use clustering on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
Answer: B

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Updated: May 28, 2022