今には、あなたにGoldmile-Infobizを教えさせていただけませんか。我々社サイトのAmazon AWS-Certified-Machine-Learning-Specialty受験記対策問題庫は最新かつ最完備な勉強資料を有して、あなたに高品質のサービスを提供するのはAWS-Certified-Machine-Learning-Specialty受験記対策資格認定試験の成功にとって唯一の選択です。躊躇わなくて、Goldmile-Infobizサイト情報を早く了解して、あなたに試験合格を助かってあげますようにお願いいたします。 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受験記対策認定試験「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。 そうすれば、自分はAWS-Certified-Machine-Learning-Specialty受験記対策試験問題集を買うかどうか決めることができます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty ショートカットは一つしかないです。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty受験記対策 - AWS Certified Machine Learning - Specialty 編成チュートリアルは授業コース、実践検定、試験エンジンと一部の無料なPDFダウンロードを含めています。 優秀な試験参考書は話すことに依頼することでなく、受験生の皆さんに検証されることに依頼するのです。Goldmile-Infobizの参考資料は時間の試練に耐えることができます。
さまざまな資料とトレーニング授業を前にして、どれを選ぶか本当に困っているのです。もしそうだったら、これ以上困ることはないです。Goldmile-Infobizはあなたにとって最も正確な選択ですから。
Amazon AWS-Certified-Machine-Learning-Specialty受験記対策 - 私の夢は最高のIT専門家になることです。
あなたはどのような方式で試験を準備するのが好きですか。PDF、オンライン問題集または模擬試験ソフトですか。我々Goldmile-Infobizはこの3つを提供します。すべては購入した前で無料でデモをダウンロードできます。ふさわしい方式を選ぶのは一番重要なのです。どの版でもAmazonのAWS-Certified-Machine-Learning-Specialty受験記対策試験の復習資料は効果的なのを保証します。
あなたは自分の知識レベルを疑っていて試験の準備をする前に詰め込み勉強しているときに、自分がどうやって試験に受かることを確保するかを考えましたか。心配しないでください。
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