Goldmile-InfobizはAmazonのAWS-Certified-Machine-Learning-Specialty専門知識「AWS Certified Machine Learning - Specialty」試験に関する完全な資料を唯一のサービスを提供するサイトでございます。Goldmile-Infobizが提供した問題集を利用してAmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験は全然問題にならなくて、高い点数で合格できます。Amazon AWS-Certified-Machine-Learning-Specialty専門知識試験の合格のために、Goldmile-Infobizを選択してください。 そうだったら、Goldmile-Infobizを利用したください。AmazonのAWS-Certified-Machine-Learning-Specialty専門知識認定試験に受かることを悩んでいたら、Goldmile-Infobizを選びましょう。 弊社の商品は試験の範囲を広くカバーすることが他のサイトがなかなか及ばならないです。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty これは試験に合格する最速のショートカットです。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty専門知識 - AWS Certified Machine Learning - Specialty Goldmile-Infobizを選択したら、成功が遠くではありません。 気楽に試験に合格したければ、はやく試しに来てください。AWS-Certified-Machine-Learning-Specialty 模擬問題認定試験に合格することは難しいようですね。
AmazonのAWS-Certified-Machine-Learning-Specialty専門知識認定試験を受けることを決めたら、Goldmile-Infobizがそばにいて差し上げますよ。Goldmile-Infobizはあなたが自分の目標を達成することにヘルプを差し上げられます。あなたがAmazonのAWS-Certified-Machine-Learning-Specialty専門知識「AWS Certified Machine Learning - Specialty」認定試験に合格する需要を我々はよく知っていますから、あなたに高品質の問題集と科学的なテストを提供して、あなたが気楽に認定試験に受かることにヘルプを提供するのは我々の約束です。
Amazon AWS-Certified-Machine-Learning-Specialty専門知識 - ショートカットは一つしかないです。
安全で信頼できるウェブサイトとして、あなたの個人情報の隠しとお支払いの安全性を保障していますから、弊社のAmazonのAWS-Certified-Machine-Learning-Specialty専門知識試験ソフトを安心にお買いください。弊社のGoldmile-Infobizは最大なるIT試験のための資料庫ですので、ほかの試験に興味があるなら、Goldmile-Infobizで探したり、弊社の係員に問い合わせたりすることができます。心よりご成功を祈ります。
Goldmile-Infobizは現在の実績を持っているのは受験生の皆さんによって実践を通して得られた結果です。真実かつ信頼性の高いものだからこそ、Goldmile-Infobizの試験参考書は長い時間にわたってますます人気があるようになっています。
AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
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: 2
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: 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
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Updated: May 28, 2022