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AWS-Certified-Machine-Learning-Specialty模擬問題 & Amazon AWS-Certified-Machine-Learning-Specialty復習範囲 - Royalholidayclubbed
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また、独自の研究チームと専門家を持っています。そのため、AWS-Certified-Machine-Learning-Specialty模擬問題試験参考書に対して、お客様の新たな要求に迅速に対応できます。それは受験者の中で、AWS-Certified-Machine-Learning-Specialty模擬問題試験参考書が人気がある原因です。 あるいは、無料で試験AWS-Certified-Machine-Learning-Specialty模擬問題問題集を更新してあげるのを選択することもできます。こんな保障がありますから、心配する必要は全然ないですよ。 Royalholidayclubbedはもっぱら認定試験に参加するIT業界の専門の人士になりたい方のために模擬試験の練習問題と解答を提供した評判の高いサイトでございます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty でも、この試験はそれほど簡単ではありません。
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Amazon AWS-Certified-Machine-Learning-Specialty模擬問題 - 自分の幸せは自分で作るものだと思われます。
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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
Microsoft GH-300 - Royalholidayclubbedは事実を通じて話しますから、奇跡が現れるときに我々が言ったすべての言葉を証明できます。 それで、我々社の無料のAmazon Salesforce MuleSoft-Integration-Associateデモを参考して、あなたに相応しい問題集を入手します。 RoyalholidayclubbedのAmazonのSalesforce CRT-450-JPNトレーニング資料はあなたが１００パーセント試験に合格することを保証しますから。 そして、Amazon SAP-C02試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。 Microsoft SC-400J - この試験に受かるのは難しいですが、大丈夫です。
Updated: May 28, 2022
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