弊社はお客様の皆様の利益を保証するために、あなたに高いクオリティのサービスを提供できて努力しています。今まで、弊社のGoldmile-InfobizのAWS-Certified-Machine-Learning-Specialty日本語版試験勉強法問題集はそのスローガンに沿って協力します。弊社の信頼できるAWS-Certified-Machine-Learning-Specialty日本語版試験勉強法問題集を使用したお客様はほとんど試験に合格しました。 Amazon AWS-Certified-Machine-Learning-Specialty日本語版試験勉強法資格試験に参加する意向があれば、当社のGoldmile-Infobizから自分に相応しい受験対策解説集を選らんで、認定試験の学習教材として勉強します。有効的なAmazon AWS-Certified-Machine-Learning-Specialty日本語版試験勉強法認定資格試験問題集を見つけられるのは資格試験にとって重要なのです。 それで、AmazonのAWS-Certified-Machine-Learning-Specialty日本語版試験勉強法に参加する予定がある人々は速く行動しましょう。
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日本語版試験勉強法 - AWS Certified Machine Learning - Specialty 編成チュートリアルは授業コース、実践検定、試験エンジンと一部の無料なPDFダウンロードを含めています。 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。
Goldmile-Infobizはあなたにとって最も正確な選択ですから。我々はあなたに試験問題と解答に含まれている全面的な試験資料を提供することができます。Goldmile-Infobizの解答は最も正確な解釈ですから、あなたがより良い知識を身につけることに助けになれます。
Amazon AWS-Certified-Machine-Learning-Specialty日本語版試験勉強法 - 」とゴーリキーは述べました。
あなたはどのような方式で試験を準備するのが好きですか。PDF、オンライン問題集または模擬試験ソフトですか。我々Goldmile-Infobizはこの3つを提供します。すべては購入した前で無料でデモをダウンロードできます。ふさわしい方式を選ぶのは一番重要なのです。どの版でもAmazonのAWS-Certified-Machine-Learning-Specialty日本語版試験勉強法試験の復習資料は効果的なのを保証します。
Goldmile-InfobizはあなたがAmazonのAWS-Certified-Machine-Learning-Specialty日本語版試験勉強法認定試験に合格する確保です。Goldmile-Infobiz のトレーニング試験は問題と解答に含まれています。
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 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: 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 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 receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations.
Which solution should the Specialist recommend?
A. A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database
B. Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database
C. Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
D. Collaborative filtering based on user interactions and correlations to identify patterns in the customer database
Answer: D
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Updated: May 28, 2022