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AWS-Certified-Machine-Learning-Specialty試験勉強攻略 & AWS-Certified-Machine-Learning-Specialty合格内容、AWS-Certified-Machine-Learning-Specialty合格問題 - Royalholidayclubbed
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Royalholidayclubbedの問題集には、実際の試験に出る可能性がある問題が全部含まれていますから、問題集における問題を覚える限り、簡単に試験に合格することができます。これは試験に合格する最速のショートカットです。仕事に忙しいから試験の準備をする時間はあまりないとしたら、絶対RoyalholidayclubbedのAWS-Certified-Machine-Learning-Specialty試験勉強攻略問題集を見逃すことはできないです。 Royalholidayclubbedはまた一年間に無料なサービスを更新いたします。RoyalholidayclubbedにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってAmazon AWS-Certified-Machine-Learning-Specialty試験勉強攻略認証試験に参加する方に対して問題集を研究続けています。 あなたを試験に一発合格させる素晴らしいAWS-Certified-Machine-Learning-Specialty試験勉強攻略試験に関連する参考書が登場しますよ。
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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty試験勉強攻略 - AWS Certified Machine Learning - Specialty 心よりご成功を祈ります。 このような素晴らしい資料をぜひ見逃さないでください。IT技術の急速な発展につれて、IT認証試験の問題は常に変更されています。
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AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
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
QUESTION NO: 2
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: 3
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: 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 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
IT職員にとって、WGU Scripting-and-Programming-Foundations試験認定書はあなたの実力を証明できる重要なツールです。 Genesys GCX-GCD - 自分の幸せは自分で作るものだと思われます。 私たちより、Salesforce OmniStudio-Developer試験を知る人はいません。 あなたは弊社の高品質Amazon Google Professional-Cloud-DevOps-Engineer試験資料を利用して、一回に試験に合格します。 Amazon AIF-C01 - 弊社の無料なサンプルを遠慮なくダウンロードしてください。
Updated: May 28, 2022
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