Goldmile-Infobizから大変助かりました。」と感謝します。あなたの支持こそ我々は最も高品質のAmazon AWS-Certified-Machine-Learning-Specialty認定試験トレーリング問題集を開発して努力します。 もし君はいささかな心配することがあるなら、あなたはうちの商品を購入する前に、Goldmile-Infobizは無料でサンプルを提供することができます。あなたはGoldmile-InfobizのAmazonのAWS-Certified-Machine-Learning-Specialty認定試験トレーリング問題集を購入した後、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。 70%の問題は解説がありますし、試験の内容を理解しやすいと助けます。
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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty認定試験トレーリング - AWS Certified Machine Learning - Specialty たくさんの時間と精力で試験に合格できないという心配な心情があれば、我々Goldmile-Infobizにあなたを助けさせます。 そして、Amazonはお客様にディスカウントコードを提供でき、AWS-Certified-Machine-Learning-Specialty 受験記対策復習教材をより安く購入できます。AWS-Certified-Machine-Learning-Specialty 受験記対策試験資格証明書を取得することは難しいです。
ご客様はAWS-Certified-Machine-Learning-Specialty認定試験トレーリング問題集を購入してから、勉強中で何の質問があると、行き届いたサービスを得られています。ご客様はAWS-Certified-Machine-Learning-Specialty認定試験トレーリング資格認証試験に失敗したら、弊社は全額返金できます。その他、AWS-Certified-Machine-Learning-Specialty認定試験トレーリング問題集の更新版を無料に提供します。
Amazon AWS-Certified-Machine-Learning-Specialty認定試験トレーリング - それは問題ではないですよ。
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IT認定試験の中でどんな試験を受けても、Goldmile-InfobizのAWS-Certified-Machine-Learning-Specialty認定試験トレーリング試験参考資料はあなたに大きなヘルプを与えることができます。それは Goldmile-InfobizのAWS-Certified-Machine-Learning-Specialty認定試験トレーリング問題集には実際の試験に出題される可能性がある問題をすべて含んでいて、しかもあなたをよりよく問題を理解させるように詳しい解析を与えますから。
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
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Updated: May 28, 2022