人生には様々な選択があります。選択は必ずしも絶対な幸福をもたらさないかもしれませんが、あなたに変化のチャンスを与えます。Goldmile-InfobizのAmazonのMLS-C01資格問題対応「AWS Certified Machine Learning - Specialty」試験トレーニング資料はIT職員としてのあなたがIT試験に受かる不可欠なトレーニング資料です。 MLS-C01資格問題対応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。MLS-C01資格問題対応認定試験の問題集はなぜそんなに人気がありますか？MLS-C01資格問題対応認定試験の問題集は最も全面的なIT知識を提供できるからです。 また、Goldmile-Infobizは数え切れない受験生を助け、皆さんの信頼と称賛を得ました。
AWS Certified Specialty MLS-C01 だから、私たちは信頼されるに値します。
MLS-C01 - AWS Certified Machine Learning - Specialty資格問題対応認定試験はたいへん難しい試験ですね。 もしあなたはまだ合格のためにAmazon MLS-C01 資格受験料に大量の貴重な時間とエネルギーをかかって一生懸命準備し、Amazon MLS-C01 資格受験料「AWS Certified Machine Learning - Specialty」認証試験に合格するの近道が分からなくって、今はGoldmile-Infobizが有効なAmazon MLS-C01 資格受験料認定試験の合格の方法を提供して、君は半分の労力で倍の成果を取るの与えています。
Goldmile-Infobizには専門的なエリート団体があります。認証専門家や技術者及び全面的な言語天才がずっと最新のAmazonのMLS-C01資格問題対応試験を研究していて、最新のAmazonのMLS-C01資格問題対応問題集を提供します。ですから、君はうちの学習教材を安心で使って、きみの認定試験に合格することを保証します。
Amazon MLS-C01資格問題対応 - 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資格問題対応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資格問題対応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。
多くの人々は高い難度のIT認証試験に合格するのは専門の知識が必要だと思います。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。
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