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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty きっと望んでいるでしょう。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialtyコンポーネント - AWS Certified Machine Learning - Specialty Omgzlookの商品はとても頼もしい試験の練習問題と解答は非常に正確でございます。 あなたは試験の最新バージョンを提供することを要求することもできます。最新のAWS-Certified-Machine-Learning-Specialty 資格トレーリング試験問題を知りたい場合、試験に合格したとしてもOmgzlookは無料で問題集を更新してあげます。
AWS-Certified-Machine-Learning-Specialtyコンポーネント試験はAmazonのひとつの認証試験でIT業界でとても歓迎があって、ますます多くの人がAWS-Certified-Machine-Learning-Specialtyコンポーネント「AWS Certified Machine Learning - Specialty」認証試験に申し込んですがその認証試験が簡単に合格できません。準備することが時間と労力がかかります。でも、Omgzlookは君の多くの貴重な時間とエネルギーを節約することを助けることができます。
Amazon AWS-Certified-Machine-Learning-Specialtyコンポーネント - 我々の誠意を信じてください。
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AWS-Certified-Machine-Learning-Specialty 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
Cisco 300-630 - OmgzlookはきみのIT夢に向かって力になりますよ。 Salesforce Sales-Cloud-Consultant-JPN - 世の中に去年の自分より今年の自分が優れていないのは立派な恥です。 SAP C_THR81_2405 - 今の多士済々な社会の中で、IT専門人士はとても人気がありますが、競争も大きいです。 短時間でIBM C1000-182試験に一発合格したいなら、我々社のAmazonのIBM C1000-182資料を参考しましょう。 SHRM SHRM-SCP - 受験者がOmgzlookを選択したら高度専門の試験に１００％合格することが問題にならないと保証いたします。
Updated: May 28, 2022