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彼らにAmazonのAWS-Certified-Machine-Learning-Specialty日本語講座試験に合格させました。
現在、市場でオンラインのAmazonのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty日本語講座試験トレーニング資料はたくさんありますが、Goldmile-InfobizのAmazonのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty日本語講座試験トレーニング資料は絶対に最も良い資料です。 これがあったら、よい高い職位の通行証を持っているようです。Goldmile-Infobizの提供するAmazonのAWS-Certified-Machine-Learning-Specialty 模擬体験試験の資料とソフトは経験が豊富なITエリートに開発されて、何回も更新されています。
他のたくさんのトレーニング資料より、Goldmile-InfobizのAmazonのAWS-Certified-Machine-Learning-Specialty日本語講座試験トレーニング資料は一番良いものです。IT認証のトレーニング資料が必要としたら、Goldmile-InfobizのAmazonのAWS-Certified-Machine-Learning-Specialty日本語講座試験トレーニング資料を利用しなければ絶対後悔しますよ。Goldmile-Infobizのトレーニング資料を選んだら、あなたは一生で利益を受けることができます。
また、Amazon AWS-Certified-Machine-Learning-Specialty日本語講座問題集は的中率が高いです。
IT業種で仕事している皆さんが現在最も受験したい認定試験はAmazonの認定試験のようですね。広く認証されている認証試験として、Amazonの試験はますます人気があるようになっています。その中で、AWS-Certified-Machine-Learning-Specialty日本語講座認定試験が最も重要な一つです。この試験の認定資格はあなたが高い技能を身につけていることも証明できます。しかし、試験の大切さと同じ、この試験も非常に難しいです。試験に合格するのは少し大変ですが、心配しないでくださいよ。Goldmile-InfobizはAWS-Certified-Machine-Learning-Specialty日本語講座認定試験に合格することを助けてあげますから。
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AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
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: 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 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: 4
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: 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