Amazon MLS-C01合格資料認証試験を通るために、いいツールが必要です。Amazon MLS-C01合格資料認証試験について研究の資料がもっとも大部分になって、Goldmile-Infobizは早くてAmazon MLS-C01合格資料認証試験の資料を集めることができます。弊社の専門家は経験が豊富で、研究した問題集がもっとも真題と近づいて現場試験のうろたえることを避けます。 もし君はまだ心配することがあったら、私たちのAmazonのMLS-C01合格資料問題集を購入する前に、一部分のフリーな試験問題と解答をダンロードして、試用してみることができます。AmazonのMLS-C01合格資料試験に関する権威のある学習教材を見つけないで、悩んでいますか？世界中での各地の人々はほとんどAmazonのMLS-C01合格資料試験を受験しています。 Goldmile-InfobizはAmazonのMLS-C01合格資料「AWS Certified Machine Learning - Specialty」の認証試験の合格率を高めるのウエブサイトで、Goldmile-Infobiz中のIT業界の専門家が研究を通じてAmazonのMLS-C01合格資料の認証試験について問題集を研究し続けています。
AWS Certified Specialty MLS-C01 それで、不必要な損失を避けできます。
Goldmile-InfobizのAmazonのMLS-C01 - AWS Certified Machine Learning - Specialty合格資料の試験問題と解答はあなたが必要とした一切の試験トレーニング資料を準備して差し上げます。 多くの人々はAmazonのMLS-C01 試験対策書試験に合格できるのは難しいことであると思っています。この悩みに対して、我々社Goldmile-InfobizはAmazonのMLS-C01 試験対策書試験に準備するあなたに専門的なヘルプを与えられます。
Goldmile-Infobizで、あなたは自分に向いている製品をどちらでも選べます。MLS-C01合格資料認証試験に合格することは他の世界の有名な認証に合格して国際の承認と受け入れを取ることと同じです。MLS-C01合格資料認定試験もIT領域の幅広い認証を取得しました。
Amazon MLS-C01合格資料 - もうこれ以上悩む必要がないですよ。
Goldmile-Infobizは１００％の合格率を保証するだけでなく、1年間の無料なオンラインの更新を提供しております。最新の資源と最新の動態が第一時間にお客様に知らせいたします。何の問題があったらお気軽に聞いてください。
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。
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