Omgzlookの専門家チームが君の需要を満たすために自分の経験と知識を利用してAmazonのAWS-Certified-Machine-Learning-Specialty学習体験談認定試験対策模擬テスト問題集が研究しました。模擬テスト問題集と真実の試験問題がよく似ています。一目でわかる最新の出題傾向でわかりやすい解説と充実の補充問題があります。 もっと重要なのは、この問題集はあなたが試験に合格することを保証できますから。この問題集よりもっと良いツールは何一つありません。 あなたはいつでもサブスクリプションの期間を延長することができますから、より多くの時間を取って充分に試験を準備できます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 機会が一回だけありますよ。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty学習体験談 - AWS Certified Machine Learning - Specialty もっと長い時間をもらって試験を準備したいのなら、あなたがいつでもサブスクリプションの期間を伸びることができます。 Omgzlookはあなたが次のAmazonのAWS-Certified-Machine-Learning-Specialty 関連日本語内容認定試験に合格するように最も信頼できるトレーニングツールを提供します。OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty 関連日本語内容勉強資料は問題と解答を含めています。
AmazonのAWS-Certified-Machine-Learning-Specialty学習体験談試験トレーニングソースを提供するサイトがたくさんありますが、Omgzlookは最実用な資料を提供します。Omgzlookには専門的なエリート団体があります。認証専門家や技術者及び全面的な言語天才がずっと最新のAmazonのAWS-Certified-Machine-Learning-Specialty学習体験談試験を研究していますから、AmazonのAWS-Certified-Machine-Learning-Specialty学習体験談認定試験に受かりたかったら、Omgzlookのサイトをクッリクしてください。
Amazon AWS-Certified-Machine-Learning-Specialty学習体験談 - あなたを成功への道に引率します。
OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty学習体験談試験トレーニング資料を手に入れたら、我々は一年間の無料更新サービスを提供します。それはあなたがいつでも最新の試験資料を持てるということです。試験の目標が変わる限り、あるいは我々の勉強資料が変わる限り、すぐに更新して差し上げます。あなたのニーズをよく知っていていますから、あなたに試験に合格する自信を与えます。
我々の知名度はとても高いです。これは受験生の皆さんが資料を利用した後の結果です。
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