我々はあなたのIT業界での発展にヘルプを提供できると希望します。いろいろな人はAmazonのAWS-Certified-Machine-Learning-Specialtyウェブトレーニング試験が難しいと言うかもしれませんが、我々Goldmile-InfobizはAmazonのAWS-Certified-Machine-Learning-Specialtyウェブトレーニング試験に合格するのは易しいと言いたいです。我々実力が強いITチームの提供するAmazonのAWS-Certified-Machine-Learning-Specialtyウェブトレーニングソフトはあなたに満足させることができます。 弊社の商品は試験の範囲を広くカバーすることが他のサイトがなかなか及ばならないです。それほかに品質はもっと高くてAmazonのAWS-Certified-Machine-Learning-Specialtyウェブトレーニング認定試験「AWS Certified Machine Learning - Specialty」の受験生が最良の選択であり、成功の最高の保障でございます。 弊社のAWS-Certified-Machine-Learning-Specialtyウェブトレーニング問題集はあなたにこのチャンスを全面的に与えられます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty テストの時に有効なツルが必要でございます。
我々社のAmazon AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialtyウェブトレーニング問題集のソフト版を購買するに値するかまだ疑問がありますか。 Goldmile-Infobizはあなたが自分の目標を達成することにヘルプを差し上げられます。あなたがAmazonのAWS-Certified-Machine-Learning-Specialty 模擬試験「AWS Certified Machine Learning - Specialty」認定試験に合格する需要を我々はよく知っていますから、あなたに高品質の問題集と科学的なテストを提供して、あなたが気楽に認定試験に受かることにヘルプを提供するのは我々の約束です。
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Amazon AWS-Certified-Machine-Learning-Specialtyウェブトレーニング - Goldmile-Infobizは全面的に受験生の利益を保証します。
AmazonのAWS-Certified-Machine-Learning-Specialtyウェブトレーニング認定試験は今IT業界の人気試験で多くのIT業界の専門の人士がITの関連の認証試験を取りたいです。Amazonの認証試験の合格書を取ってから更にあなたのIT業界での仕事にとても助けがあると思います。
うちのAmazonのAWS-Certified-Machine-Learning-Specialtyウェブトレーニング問題集を購入したら、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。もし学習教材は問題があれば、或いは試験に不合格になる場合は、全額返金することを保証いたします。
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