AWS-Certified-Machine-Learning-Specialty模擬資料、Amazon AWS-Certified-Machine-Learning-Specialtyトレーニング - AWS-Certified-Machine-Learning-Specialty - Omgzlook

Amazon AWS-Certified-Machine-Learning-Specialty模擬資料資格認定はバッジのような存在で、あなたの所有する専業技術と能力を上司に直ちに知られさせます。次のジョブプロモーション、プロジェクタとチャンスを申し込むとき、Amazon AWS-Certified-Machine-Learning-Specialty模擬資料資格認定はライバルに先立つのを助け、あなたの大業を成し遂げられます。 それは正確性が高くて、カバー率も広いです。あなたはOmgzlookの学習教材を購入した後、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。 つまりAWS-Certified-Machine-Learning-Specialty模擬資料練習問題はあなたの最も正しい選択です。

だから、AWS-Certified-Machine-Learning-Specialty模擬資料復習教材を買いました。

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Amazon AWS-Certified-Machine-Learning-Specialty模擬資料 - もし合格しないと、われは全額で返金いたします。

AmazonのAWS-Certified-Machine-Learning-Specialty模擬資料の試験の資料やほかのトレーニング資料を提供しているサイトがたくさんありますが、AmazonのAWS-Certified-Machine-Learning-Specialty模擬資料の認証試験の高品質の資料を提供しているユニークなサイトはOmgzlookです。Omgzlookのガイダンスとヘルプを通して、初めにAmazonのAWS-Certified-Machine-Learning-Specialty模擬資料「AWS Certified Machine Learning - Specialty」の認証を受けるあなたは、気楽に試験に合格すことができます。Omgzlookが提供した問題と解答は現代の活力がみなぎる情報技術専門家が豊富な知識と実践経験を活かして研究した成果で、あなたが将来IT分野でより高いレベルに達することに助けを差し上げます。

Amazon AWS-Certified-Machine-Learning-Specialty模擬資料「AWS Certified Machine Learning - Specialty」認証試験に合格することが簡単ではなくて、Amazon AWS-Certified-Machine-Learning-Specialty模擬資料証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。

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 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: 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

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Updated: May 28, 2022