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MLS-C01 學習指南 - Amazon MLS-C01 認證考試 & AWS Certified Machine Learning Specialty - Royalholidayclubbed
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每個人都有自己的夢想，你夢想呢，是升職、是加薪或者等等。我的夢想的通過Amazon的MLS-C01學習指南考試認證，我覺得有了這個認證，所有的問題都不是問題，不過想要通過這個認證是比較困難，不過不要緊，我選擇Royalholidayclubbed Amazon的MLS-C01學習指南考試培訓資料，它可以幫助我實現我的夢想，如果也有IT夢，那就趕緊把它變成現實吧，選擇Royalholidayclubbed Amazon的MLS-C01學習指南考試培訓資料，絕對信得過。 古人曾說：故天將大任於斯人也，必先苦其心志，勞其筋骨，餓其體膚，空乏其身。到現在也不過如此，成功其實是有方式方法的，只要你選擇得當。 我們Royalholidayclubbed是一個優秀的IT認證資訊來源，在Royalholidayclubbed裏，你可以找到為你認證考試的學習技巧以及學習材料，我們Royalholidayclubbed Amazon的MLS-C01學習指南考試培訓資料是由經驗豐富和擁有長期學生經驗和他們的要求的IT專業人士研究出來的培訓資料，內容精確性和邏輯性特別強，遇到Royalholidayclubbed，你將遇到最好的培訓資料，放心使用我們的Royalholidayclubbed Amazon的MLS-C01學習指南考試培訓資料，有了它你就已經做好了充分的準備來迎接這個認證考試。
AWS Certified Specialty MLS-C01 然而，和考試的重要性一樣，這個考試也是非常難的。
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Amazon MLS-C01學習指南 - 我們的IT精英團隊的力量會讓你難以置信。
誰想要獲得Amazon MLS-C01學習指南認證？我們所知道的該考試是非常具有挑戰性的，隨著最新的MLS-C01學習指南考古題上線，您將更方便快捷的獲得認證。如果您不相信我們，可以先下載我們的免費PDF試用版的MLS-C01學習指南問題和答案，我們將保證您100%成功。對于擁有高品質的Amazon MLS-C01學習指南題庫是絕對值得信賴的，為了配合當真正的考試，我們的專家在不斷的更新我們的問題和答案。如果使用我們的MLS-C01學習指南考古題沒有通過考試，我們將無條件的退款。
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MLS-C01 PDF DEMO:
QUESTION NO: 1
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: 2
A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which solution would allow the use of SQL to query the stream with the LEAST latency?
A. Amazon Kinesis Data Firehose to transform the data and put it into an Amazon S3 bucket.
B. Amazon Kinesis Data Analytics with an AWS Lambda function to transform the data.
C. AWS Glue with a custom ETL script to transform the data.
D. An Amazon Kinesis Client Library to transform the data and save it to an Amazon ES cluster.
Answer: B
QUESTION NO: 3
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: 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 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
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Updated: May 28, 2022
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