Goldmile-Infobizは長年にわたってずっとIT認定試験に関連するAWS-Certified-Machine-Learning-Specialtyテスト難易度参考書を提供しています。これは受験生の皆さんに検証されたウェブサイトで、一番優秀な試験AWS-Certified-Machine-Learning-Specialtyテスト難易度問題集を提供することができます。Goldmile-Infobizは全面的に受験生の利益を保証します。 しかし、試験に受かるのは容易なことではないです。実は良いトレーニング資料を選んだら試験に合格することは不可能ではないです。 うちのAmazonのAWS-Certified-Machine-Learning-Specialtyテスト難易度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。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 夢を持ったら実現するために頑張ってください。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialtyテスト難易度 - AWS Certified Machine Learning - Specialty ふさわしい方式を選ぶのは一番重要なのです。 試験に合格してから、あなたのキャリアは美しい時期を迎えるようになります。偉大な事業を実現するために信心を持つ必要があります。
数年以来の試験問題集を研究しています。現在あなたに提供するのは大切なAmazonのAWS-Certified-Machine-Learning-Specialtyテスト難易度資料です。あなたの購入してから、我々はあなたにAmazonのAWS-Certified-Machine-Learning-Specialtyテスト難易度資料の更新情況をつど提供します。
Amazon AWS-Certified-Machine-Learning-Specialtyテスト難易度 - これは試験の一発合格を保証できる問題集ですから。
どのようにAmazon AWS-Certified-Machine-Learning-Specialtyテスト難易度試験に準備すると悩んでいますか。我々社のAWS-Certified-Machine-Learning-Specialtyテスト難易度問題集を参考した後、ほっとしました。弊社のAWS-Certified-Machine-Learning-Specialtyテスト難易度ソフト版問題集はかねてより多くのIT事業をしている人々は順調にAmazon AWS-Certified-Machine-Learning-Specialtyテスト難易度資格認定を取得させます。試験にパースする原因は我々問題集の全面的で最新版です。
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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
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Updated: May 28, 2022