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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 成功の楽園にどうやって行きますか。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty日本語サンプル - AWS Certified Machine Learning - Specialty 神様は私を実力を持っている人間にして、美しい人形ではないです。 Goldmile-Infobizは自分の資料に十分な自信を持っていますから、あなたもGoldmile-Infobizを信じたほうがいいです。あなたのAWS-Certified-Machine-Learning-Specialty 日本語認定試験の成功のために、Goldmile-Infobizをミスしないでください。
ここにはあなたが最も欲しいものがありますから。受験生の皆さんの要望に答えるように、Goldmile-InfobizはAWS-Certified-Machine-Learning-Specialty日本語サンプル認定試験を受験する人々のために特に効率のあがる勉強法を開発しました。受験生の皆さんはほとんど仕事しながら試験の準備をしているのですから、大変でしょう。
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AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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
QUESTION NO: 4
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s) Which visualization will accomplish this?
A. A scatter plot with points colored by target variable that uses (-Distributed Stochastic Neighbor
Embedding (I-SNE) to visualize the large number of input variables in an easier-to-read dimension.
B. A scatter plot showing (he performance of the objective metric over each training iteration
C. A histogram showing whether the most important input feature is Gaussian.
D. A scatter plot showing the correlation between maximum tree depth and the objective metric.
Answer: A
QUESTION NO: 5
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
Google Associate-Cloud-Engineer - この競争が激しい社会では、Goldmile-Infobizはたくさんの受験生の大好評を博するのは我々はいつも受験生の立場で試験ソフトを開発するからです。 Microsoft AI-102 - 一年間のソフト無料更新も失敗して全額での返金も我々の誠のアフターサービスでございます。 EMC D-UN-DY-23 - IT業界の発展とともに、IT業界で働いている人への要求がますます高くなります。 我々のチームは複雑な問題集を整理するに通じて、毎年の試験の問題を分析して最高のAmazonのISACA CISA-CNソフトを作成します。 ご客様は弊社のMicrosoft AZ-104問題集を購入するかどうかと判断する前に、我が社は無料に提供するサンプルをダウンロードして試すことができます。
Updated: May 28, 2022