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AWS Certified Specialty MLS-C01 認證培訓和詳細的解釋和答案。
有了這個培訓資料，你將獲得國際上認可及接受的Amazon的MLS-C01 - AWS Certified Machine Learning - Specialty最新考題認證，這樣你的全部生活包括金錢地位都會提升很多，到那時，你還會悲哀痛苦嗎？不會，你會很得意，你應該感謝Goldmile-Infobiz網站為你提供這樣一個好的培訓資料，在你失落的時候幫助了你，讓你不僅提高自身的素質，也幫你展現了你完美的人生價值。 想更好更快的通過Amazon的MLS-C01 學習指南考試嗎？快快選擇我們Goldmile-Infobiz吧！它可以迅速的完成你的夢想。我們Goldmile-Infobiz是一個為多種IT認證考試的人，提供準確的考試材料的網站，我們Goldmile-Infobiz是一個可以為很多IT人士提升自己的職業藍圖，我們的力量會讓你難以置信。
為了每位IT認證考試的考生切身利益，我們網站提供Goldmile-Infobiz Amazon的MLS-C01最新考題考試培訓資料是根據考生的需要而定做的，由我們Goldmile-Infobiz資質深厚的IT專家專門研究出來的，他們的奮鬥結果不僅僅是為了幫助你們通過考試，而且是為了讓你們有一個更好的明天。
Amazon MLS-C01最新考題 - 你也可以隨時要求我們為你提供最新版的考古題。
近來，Amazon的認證考試越來越受大家的歡迎。Amazon的認證資格也變得越來越重要。作為被 IT行業廣泛認可的考試，MLS-C01最新考題認證考試是Amazon中最重要的考試之一。取得了這個考試的認證資格，你就可以獲得很多的利益。如果你也想參加這個考試的話，Goldmile-Infobiz的MLS-C01最新考題考古題是你準備考試的時候不能缺少的工具。因为这是MLS-C01最新考題考试的最优秀的参考资料。
那麼，難道沒有一個簡單的方法可以讓大家更容易地通過IT認證考試嗎？當然有了。Goldmile-Infobiz的考古題就是一個最好的方法。
MLS-C01 PDF DEMO:
QUESTION NO: 1
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
QUESTION NO: 2
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: 3
A Machine Learning Specialist is using Amazon SageMaker to host a model for a highly available customer-facing application .
The Specialist has trained a new version of the model, validated it with historical data, and now wants to deploy it to production To limit any risk of a negative customer experience, the Specialist wants to be able to monitor the model and roll it back, if needed What is the SIMPLEST approach with the LEAST risk to deploy the model and roll it back, if needed?
A. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by using a load balancer Revert traffic to the last version if the model does not perform as expected.
B. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 5% of the traffic to the new variant. Revert traffic to the last version by resetting the weights if the model does not perform as expected.
C. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 100% of the traffic to the new variant Revert traffic to the last version by resetting the weights if the model does not perform as expected.
D. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by updating the client configuration. Revert traffic to the last version if the model does not perform as expected.
Answer: D
QUESTION NO: 4
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: 5
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
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Updated: May 28, 2022