AmazonのAWS-Certified-Machine-Learning-Specialty認定試験試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でOmgzlookは君の試験の問題を準備してしまいました。君の初めての合格を目標にします。 そしてあなたにAWS-Certified-Machine-Learning-Specialty認定試験試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。しかし、AWS-Certified-Machine-Learning-Specialty認定試験「AWS Certified Machine Learning - Specialty」試験は簡単ではありません。 Omgzlookはあなたの夢に実現させるサイトでございます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 弊社は君の試験の１００％合格率を保証いたします。
OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty認定試験の試験問題は同じシラバスに従って、実際のAmazonのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty認定試験認証試験にも従っています。 Omgzlookの問題集は真実試験の問題にとても似ていて、弊社のチームは自分の商品が自信を持っています。Omgzlookが提供した商品をご利用してください。
Omgzlookはとても良い選択で、AWS-Certified-Machine-Learning-Specialty認定試験の試験を最も短い時間に縮められますから、あなたの費用とエネルギーを節約することができます。それに、あなたに美しい未来を作ることに助けを差し上げられます。AmazonのAWS-Certified-Machine-Learning-Specialty認定試験認定試験に受かるのはあなたの技能を検証することだけでなく、あなたの専門知識を証明できて、上司は無駄にあなたを雇うことはしないことの証明書です。
Amazon AWS-Certified-Machine-Learning-Specialty認定試験認定試験に合格することは難しいようですね。
「私はだめです。」という話を永遠に言わないでください。これは皆さんのためのアドバイスです。難しいAmazonのAWS-Certified-Machine-Learning-Specialty認定試験認定試験に合格する能力を持たないと思っても、あなたは効率的な骨の折れないトレーニングツールを選んで試験に合格させることができます。OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty認定試験試験トレーニング資料はとても良いトレーニングツールで、１００パーセントの合格率を保証します。それに、資料の値段は手頃です。Omgzlookを利用したらあなたはきっと大いに利益を得ることができます。ですから、「私はだめです。」という話を言わないでください。諦めないのなら、希望が現れています。あなたの希望はOmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty認定試験試験トレーニング資料にありますから、速く掴みましょう。
一回だけでAmazonのAWS-Certified-Machine-Learning-Specialty認定試験試験に合格したい？Omgzlookは君の欲求を満たすために存在するのです。Omgzlookは君にとってベストな選択になります。
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