改善されているソフトはあなたのAmazonのAWS-Certified-Machine-Learning-Specialty受験料試験の復習の効率を高めることができます。IT業界での競争がますます激しくなるうちに、あなたの能力をどのように証明しますか。AmazonのAWS-Certified-Machine-Learning-Specialty受験料試験に合格するのは説得力を持っています。 AmazonのAWS-Certified-Machine-Learning-Specialty受験料認定試験「AWS Certified Machine Learning - Specialty」を受けたいのなら、試験の準備に関する全ての質問がGoldmile-Infobizは解決して差し上げます。Goldmile-InfobizはIT認証に対するプロなサイトです。 この時代にはIT資格認証を取得するは重要になります。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty Goldmile-Infobizは全面的に受験生の利益を保証します。
AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty受験料練習問題をちゃんと覚えると、AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty受験料に合格できます。 Goldmile-InfobizのAmazonのAWS-Certified-Machine-Learning-Specialty 合格資料試験トレーニング資料は正確性が高くて、カバー率も広い。あなたがAmazonのAWS-Certified-Machine-Learning-Specialty 合格資料認定試験に合格するのに最も良くて、最も必要な学習教材です。
私たちのAWS-Certified-Machine-Learning-Specialty受験料試験参考書は、あなたがAWS-Certified-Machine-Learning-Specialty受験料試験に合格する前に最高のサービスを提供することを保証します。これは確かに大きなチャンスです。絶対見逃さないです。
Amazon AWS-Certified-Machine-Learning-Specialty受験料 - これは前例のない真実かつ正確なものです。
Goldmile-Infobizが提供したAmazonのAWS-Certified-Machine-Learning-Specialty受験料「AWS Certified Machine Learning - Specialty」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。
私は答えてあげますよ。Goldmile-Infobizを選んだら成功を選ぶということです。
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
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Updated: May 28, 2022