Goldmile-Infobizは長年の努力を通じて、AmazonのMLS-C01模擬モード認定試験の合格率が１００パーセントになっていました。Goldmile-Infobizを選ぶなら、輝い未来を選ぶのに等しいです。まだAmazonのMLS-C01模擬モード認定試験に合格できるかどうかを悩んでいますか。 世界は変化している、我々はできるだけそのペースを維持する必要があります。我々Goldmile-InfobizはAmazonのMLS-C01模擬モード試験の変化を注目しています。 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。
AWS Certified Specialty MLS-C01 ローマは一日に建てられませんでした。
AmazonのMLS-C01 - AWS Certified Machine Learning - Specialty模擬モード試験は小さな試験だけでなく、あなたの職業生涯に重要な影響を及ぼすことができます。 Goldmile-Infobizは認定で優秀なIT資料のウエブサイトで、ここでAmazon MLS-C01 参考資料認定試験の先輩の経験と暦年の試験の材料を見つけることができるとともに部分の最新の試験の題目と詳しい回答を無料にダウンロードこともできますよ。弊社のIT技術専門家たち は質が高い問題集と答えを提供し、お客様が合格できるように努めています。
時間が経つとともに、我々はインタネット時代に生活します。この時代にはIT資格認証を取得するは重要になります。それでは、MLS-C01模擬モード試験に参加しよう人々は弊社Goldmile-InfobizのMLS-C01模擬モード問題集を選らんで勉強して、一発合格して、AmazonIT資格証明書を受け取れます。
Amazon MLS-C01模擬モード - こうして、君は安心で試験の準備を行ってください。
今多くのIT技術会社は職員がAmazonのMLS-C01模擬モード資格認定を持つのを要求します。AmazonのMLS-C01模擬モード試験に合格するのは必要なことになります。速く試験に合格して資格認証を取得したいなら、我々Goldmile-InfobizのMLS-C01模擬モード問題集を使ってみてください。弊社はあなたに相応しくて品質高いMLS-C01模擬モード問題集を提供します。また、あなたの持っている問題集は一年間の無料更新を得られています。あなたは十分の時間でMLS-C01模擬モード試験を準備することができます。
Goldmile-Infobizが提供したAmazonのMLS-C01模擬モード「AWS Certified Machine Learning - Specialty」試験問題と解答が真実の試験の練習問題と解答は最高の相似性があり、一年の無料オンラインの更新のサービスがあり、100%のパス率を保証して、もし試験に合格しないと、弊社は全額で返金いたします。
MLS-C01 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