Goldmile-InfobizはAmazonのMLS-C01ダウンロード「AWS Certified Machine Learning - Specialty」試験に関する完全な資料を唯一のサービスを提供するサイトでございます。Goldmile-Infobizが提供した問題集を利用してAmazonのMLS-C01ダウンロード試験は全然問題にならなくて、高い点数で合格できます。Amazon MLS-C01ダウンロード試験の合格のために、Goldmile-Infobizを選択してください。 もし私たちのAmazonのMLS-C01ダウンロード問題集を購入したら、Goldmile-Infobizは一年間無料で更新サービスを提供することができます。Goldmile-InfobizのAmazonのMLS-C01ダウンロードの試験問題と解答は実践されて、当面の市場で最も徹底的な正確的な最新的な模擬テストです。 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。
AWS Certified Specialty MLS-C01 Goldmile-Infobizを選んだ方が良いです。
AWS Certified Specialty MLS-C01ダウンロード - AWS Certified Machine Learning - Specialty 弊社が提供した問題集がほかのインターネットに比べて問題のカーバ範囲がもっと広くて対応性が強い長所があります。 あなたはGoldmile-Infobiz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。Goldmile-InfobizのAmazonのMLS-C01 日本語認定対策試験トレーニング資料はAmazonのMLS-C01 日本語認定対策認定試験を準備するのリーダーです。
Goldmile-Infobizを選択したら、成功が遠くではありません。Goldmile-Infobizが提供するAmazonのMLS-C01ダウンロード認証試験問題集が君の試験に合格させます。テストの時に有効なツルが必要でございます。
Amazon MLS-C01ダウンロード - ふさわしい方式を選ぶのは一番重要なのです。
MLS-C01ダウンロード「AWS Certified Machine Learning - Specialty」はAmazonの一つ認証試験として、もしAmazon認証試験に合格してIT業界にとても人気があってので、ますます多くの人がMLS-C01ダウンロード試験に申し込んで、MLS-C01ダウンロード試験は簡単ではなくて、時間とエネルギーがかかって用意しなければなりません。
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MLS-C01ダウンロード資料です。
MLS-C01 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