なぜ我々のAmazonのMLS-C01日本語受験教科書ソフトに自信があるかと聞かれたら、まずは我々Goldmile-Infobizの豊富な経験があるチームです、次は弊社の商品を利用してAmazonのMLS-C01日本語受験教科書試験に合格する多くのお客様です。AmazonのMLS-C01日本語受験教科書試験は国際的に認められてあなたはこの認証がほしいですか。弊社のAmazonのMLS-C01日本語受験教科書試験のソフトを通して、あなたはリラクスで得られます。 AmazonのMLS-C01日本語受験教科書認証試験の合格証は多くのIT者になる夢を持つ方がとりたいです。でも、その試験はITの専門知識と経験が必要なので、合格するために一般的にも大量の時間とエネルギーをかからなければならなくて、助簡単ではありません。 我々IT専門かたちの作成するAmazonのMLS-C01日本語受験教科書ソフトを利用しているとき、あなたは自分の能力の高めを明らかに感じることができます。
AWS Certified Specialty MLS-C01 あなたは勇敢な人ですか。
AWS Certified Specialty MLS-C01日本語受験教科書 - AWS Certified Machine Learning - Specialty 実には、正確の方法と資料を探すなら、すべては問題ではりません。 Goldmile-Infobizへ来てあなたがほしいヘルパーと試験の準備ツールを見つけることができますから。Goldmile-Infobizの資料はきっとあなたがMLS-C01 勉強方法試験の認証資格を取ることを助けられます。
素晴らしい試験参考書です。MLS-C01日本語受験教科書認定試験の難しさで近年、資格認定試験に合格した受験生はますます少なくなっていたと良く知られます。だから、我々社のIT専門家は長年にわたりAmazon MLS-C01日本語受験教科書認定資格試験問題集作成に取り組んで、有効なMLS-C01日本語受験教科書試験問題集を書きました。
彼らにAmazonのAmazon MLS-C01日本語受験教科書試験に合格させました。
Goldmile-Infobizはたくさんの方がIT者になる夢を実現させるサイトでございます。Goldmile-InfobizはAmazonのMLS-C01日本語受験教科書認証試験について最新の対応性教育テストツールを研究し続けて、AmazonのMLS-C01日本語受験教科書認定試験の問題集を開発いたしました。Goldmile-Infobizが提供したAmazonのMLS-C01日本語受験教科書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。
試験に合格してからあなたがよりよい仕事と給料がもらえるかもしれません。AmazonのMLS-C01日本語受験教科書試験は国際的に認可られます。
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