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AWS-Certified-Machine-Learning-Specialty日本語受験教科書 & AWS-Certified-Machine-Learning-Specialty的中合格問題集 - AWS-Certified-Machine-Learning-Specialty合格内容 - Royalholidayclubbed
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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty きっと望んでいるでしょう。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty日本語受験教科書 - AWS Certified Machine Learning - Specialty Royalholidayclubbedが持つべきなIT問題集を提供するサイトでございます。 RoyalholidayclubbedのAWS-Certified-Machine-Learning-Specialty 最新テスト教材を購入したら、あなたは一年間の無料アップデートサービスを取得しました。試験問題集が更新されると、Royalholidayclubbedは直ちにあなたのメールボックスにAWS-Certified-Machine-Learning-Specialty 最新テスト問題集の最新版を送ります。
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あなたは各バーションのAmazonのAWS-Certified-Machine-Learning-Specialty日本語受験教科書試験の資料をダウンロードしてみることができ、あなたに一番ふさわしいバーションを見つけることができます。暇な時間だけでAmazonのAWS-Certified-Machine-Learning-Specialty日本語受験教科書試験に合格したいのですか。
AWS-Certified-Machine-Learning-Specialty 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
それはRoyalholidayclubbedのAmazonのSalesforce CRT-211-JPN試験トレーニング資料は適用性が高いもので、本当にみなさんが良い成績を取ることを助けられるからです。 我々RoyalholidayclubbedはAmazonのAppian ACD301試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。 APA AICP - Royalholidayclubbedを選んだら成功を選んだということです。 たとえば、ベストセラーのAmazon Microsoft MB-500J問題集は過去のデータを分析して作成ます。 Microsoft DP-700J - 他のサイトと比較して、Royalholidayclubbedは皆さんにもっと信頼されています。
Updated: May 28, 2022
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