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AWS-Certified-Machine-Learning-Specialty対応問題集、AWS-Certified-Machine-Learning-Specialty模擬モード - Amazon AWS-Certified-Machine-Learning-Specialty再テスト - Royalholidayclubbed
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あなたのご遠慮なく購買するために、弊社は提供する無料のAmazon AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty対応問題集問題集デーモをダウンロードします。 RoyalholidayclubbedのAmazonのAWS-Certified-Machine-Learning-Specialty テスト資料試験トレーニング資料は試験問題と解答を含まれて、豊富な経験を持っているIT業種の専門家が長年の研究を通じて作成したものです。その権威性は言うまでもありません。
努力すれば報われますなので、Amazon AWS-Certified-Machine-Learning-Specialty対応問題集資格認定を取得して自分の生活状況を改善できます。IT職員のあなたは毎月毎月のあまり少ない給料を持っていますが、暇の時間でひたすら楽しむんでいいですか。Amazon AWS-Certified-Machine-Learning-Specialty対応問題集試験認定書はIT職員野給料増加と仕事の昇進にとって、大切なものです。
Amazon AWS-Certified-Machine-Learning-Specialty対応問題集 - 心はもはや空しくなく、生活を美しくなります。
今の多士済々な社会の中で、IT専門人士はとても人気がありますが、競争も大きいです。だからいろいろな方は試験を借って、自分の社会の地位を固めたいです。AWS-Certified-Machine-Learning-Specialty対応問題集認定試験はAmazonの中に重要な認証試験の一つですが、RoyalholidayclubbedにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってAmazon AWS-Certified-Machine-Learning-Specialty対応問題集「AWS Certified Machine Learning - Specialty」認証試験に参加する方に対して問題集を研究続けています。
また、AWS-Certified-Machine-Learning-Specialty対応問題集問題集に疑問があると、メールで問い合わせてください。現在IT技術会社に通勤しているあなたは、AmazonのAWS-Certified-Machine-Learning-Specialty対応問題集試験認定を取得しましたか？AWS-Certified-Machine-Learning-Specialty対応問題集試験認定は給料の増加とジョブのプロモーションに役立ちます。
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 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
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