近年、IT領域で競争がますます激しくなります。IT認証は同業種の欠くことができないものになりました。あなたはキャリアで良い昇進のチャンスを持ちたいのなら、OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty専門知識「AWS Certified Machine Learning - Specialty」試験トレーニング資料を利用してAmazonの認証の証明書を取ることは良い方法です。 そのデモはAWS-Certified-Machine-Learning-Specialty専門知識試験資料の一部を含めています。私たちは本当にお客様の貴重な意見をAWS-Certified-Machine-Learning-Specialty専門知識試験資料の作りの考慮に入れます。 OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験トレーニング資料は豊富な知識と経験を持っているIT専門家に研究された成果で、正確度がとても高いです。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 何の問題があったらお気軽に聞いてください。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty専門知識 - AWS Certified Machine Learning - Specialty 時間とお金の集まりより正しい方法がもっと大切です。 弊社の質問と解答を安心にご利用ください。あなたはきっとAmazonのAWS-Certified-Machine-Learning-Specialty 対応問題集試験に合格できますから。
自分のIT業界での発展を希望したら、AmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験に合格する必要があります。AmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験はいくつ難しくても文句を言わないで、我々Omgzlookの提供する資料を通して、あなたはAmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験に合格することができます。AmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験を準備しているあなたに試験に合格させるために、我々Omgzlookは模擬試験ソフトを更新し続けています。
Amazon AWS-Certified-Machine-Learning-Specialty専門知識 - 実はこれは普通なことです。
現在IT技術会社に通勤しているあなたは、AmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験認定を取得しましたか？AWS-Certified-Machine-Learning-Specialty専門知識試験認定は給料の増加とジョブのプロモーションに役立ちます。短時間でAWS-Certified-Machine-Learning-Specialty専門知識試験に一発合格したいなら、我々社のAmazonのAWS-Certified-Machine-Learning-Specialty専門知識資料を参考しましょう。また、AWS-Certified-Machine-Learning-Specialty専門知識問題集に疑問があると、メールで問い合わせてください。
それはあなたがいつでも最新の試験資料を持てるということです。試験の目標が変わる限り、あるいは我々の勉強資料が変わる限り、すぐに更新して差し上げます。
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