Amazon的MLS-C01認證考試解析考試認證是業界廣泛認可的IT認證，世界各地的人都喜歡Amazon的MLS-C01認證考試解析考試認證，這項認證可以強化自己的職業生涯，使自己更靠近成功。談到Amazon的MLS-C01認證考試解析考試,Shobhadoshi Amazon的MLS-C01認證考試解析的考試培訓資料一直領先於其他的網站，因為Shobhadoshi有一支強大的IT精英團隊，他們時刻跟蹤著最新的 Amazon的MLS-C01認證考試解析的考試培訓資料，用他們專業的頭腦來專注於 Amazon的MLS-C01認證考試解析的考試培訓資料。 這是經過很多考生證明過的事實。所以不用擔心這個考古題的品質，這絕對是最值得你信賴的考試資料。 有了目標就要勇敢的去實現。

AWS Certified Specialty MLS-C01 上帝是很公平的，每個人都是不完美的。

AWS Certified Specialty MLS-C01認證考試解析 - AWS Certified Machine Learning - Specialty Amazon的認證考試資格是很重要的資格，因此參加Amazon考試的人變得越來越多了。 它受到了參加IT認定考試的人的一致好評。這是一個可以真正幫助到大家的網站。

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Amazon MLS-C01認證考試解析 - 在這裏我想說明的是Shobhadoshi的資料的核心價值。

怎樣才能確保我們的生活可更快的得到改善？你需要通過MLS-C01認證考試解析認證考試，獲得證書。而Shobhadoshi是IT專業人士的最佳選擇，獲得MLS-C01認證考試解析認證是IT職業發展的有力保證，我們高品質的題庫能幫助你做到這一點。MLS-C01認證考試解析考試題庫也會不定期的更新，為你提供最有效的學習資料。使用我們的MLS-C01認證考試解析考試題庫進行考前復習，可以節約你大量的學習時間和費用，這是最適合獲得MLS-C01認證考試解析認證的所必須的學習資料。

此外，Shobhadoshi提供的所有考古題都是最新的，其中PDF版本的MLS-C01認證考試解析題庫支持打打印，方便攜帶，現在就來添加我們最新的MLS-C01認證考試解析考古題，了解更多的考試資訊吧！作為IT認證的一項重要考試，Amazon MLS-C01認證考試解析認證資格可以給你帶來巨大的好處，所有請把握這次可以成功的機會。

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 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: 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 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: 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