OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア試験トレーニング資料は豊富な経験を持っているIT専門家が研究したものです。君がAmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア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AmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア問題集は問題があれば、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。 もちろん頑張って勉強するのは試験に合格することができますが、望ましい効果を達成できないかもしれません。現在はインターネットの時代で、試験に合格する ショートカットがたくさんあります。 弊社のソフトを使用して、ほとんどのお客様は難しいと思われているAmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア試験に順調に剛角しました。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 」と思わないでください。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialtyソフトウエア - AWS Certified Machine Learning - Specialty 試験に失敗したら、全額で返金する承諾があります。 Omgzlookの資料はきっとあなたがAWS-Certified-Machine-Learning-Specialty 日本語版試験解答試験の認証資格を取ることを助けられます。現在の仕事に満足していますか。
暇な時間だけでAmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア試験に合格したいのですか。我々の提供するPDF版のAmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア試験の資料はあなたにいつでもどこでも読めさせます。我々もオンライン版とソフト版を提供します。
Amazon AWS-Certified-Machine-Learning-Specialtyソフトウエア - IT認定試験に合格するのは難しいと思いますか。
我々OmgzlookはAmazonのAWS-Certified-Machine-Learning-Specialtyソフトウエア試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。また、我々はさらに認可を受けられるために、皆様の一切の要求を満足できて喜ぶ気持ちでずっと協力し、完備かつ精確のAWS-Certified-Machine-Learning-Specialtyソフトウエア試験問題集を開発するのに準備します。
このAWS-Certified-Machine-Learning-Specialtyソフトウエア問題集はあなたを楽に試験に合格させる素晴らしいツールですから、この成功できチャンスを見逃せば絶対後悔になりますから、尻込みしないで急いで行動しましょう。ただ一つの試験の準備をするだけで時間をたくさん無駄にすることをやめてください。
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