皆様が知っているように、Goldmile-InfobizはAmazonのMLS-C01模擬体験試験問題と解答を提供している専門的なサイトです。AmazonのMLS-C01模擬体験認証試験を選んだ人々が一層多くなります。MLS-C01模擬体験試験がユニバーサルになりましたから、あなたはGoldmile-Infobiz のAmazonのMLS-C01模擬体験試験問題と解答￥を利用したらきっと試験に合格するができます。 なぜならば、弊社は高品質かつ改革によってすぐに更新できるMLS-C01模擬体験問題集を提供できるからです。弊社のMLS-C01模擬体験問題集は大勢の専門家たちの努力で開発される成果です。 近年、IT業種の発展はますます速くなることにつれて、ITを勉強する人は急激に多くなりました。
AWS Certified Specialty MLS-C01 人生には様々な選択があります。
MLS-C01 - AWS Certified Machine Learning - Specialty模擬体験認定試験の問題集は大勢の人の注目を集め、とても人気がある商品です。 このような保証があれば、Goldmile-InfobizのMLS-C01 関連試験問題集を購入しようか購入するまいかと躊躇する必要は全くないです。この問題集をミスすればあなたの大きな損失ですよ。
長い時間で、私たちはMLS-C01模擬体験教材の研究に取り組んでいます。だから、私たちは信頼されるに値します。MLS-C01模擬体験試験に合格するには、関連する教材を探す必要があります。
Amazon MLS-C01模擬体験 - 君の初めての合格を目標にします。
もし君の予算がちょっと不自由で、おまけに質の良いAmazonのMLS-C01模擬体験試験トレーニング資料を購入したいなら、Goldmile-InfobizのAmazonのMLS-C01模擬体験試験トレーニング資料を選択したほうが良いです。それは値段が安くて、正確性も高くて、わかりやすいです。いろいろな受験生に通用します。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。
それは確かにそうですが、その知識を身につけることは難しくないとといわれています。IT業界ではさらに強くなるために強い専門知識が必要です。
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
AmazonのCompTIA N10-009Jソフトを使用するすべての人を有効にするために最も快適なレビュープロセスを得ることができ、我々は、AmazonのCompTIA N10-009Jの資料を提供し、PDF、オンラインバージョン、およびソフトバージョンを含んでいます。 Amazon Data-Engineer-Associate-KR - 購入前にGoldmile-Infobizが提供した無料の問題集をダウンロードできます。 我々ができるのはあなたにより速くAmazonのMicrosoft AI-102-KR試験に合格させます。 IIBA CPOA - もし君はまだIT試験で心配すれば、私達Goldmile-Infobizの問題集を選んでください。 ITIL ITIL-4-Foundation - 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。
Updated: May 28, 2022