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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
我們Royalholidayclubbed的Amazon的CIDQ IDPX考試培訓資料是以PDF和軟體格式提供,它包含Royalholidayclubbed的Amazon的CIDQ IDPX考試的試題及答案,你可能會遇到真實的CIDQ IDPX考試,這些問題堪稱完美,和可行之的有效的方法,在任何Amazon的CIDQ IDPX考試中獲得成功,Royalholidayclubbed Amazon的CIDQ IDPX 全面涵蓋所有教學大綱及複雜問題,Royalholidayclubbed的Amazon的CIDQ IDPX 考試的問題及答案是真正的考試挑戰,你必須要擦亮你的技能和思維定勢。 快來購買Fortinet FCP_FMG_AD-7.4考古題吧!如果您想要真正的考試模擬,那就選擇我們的Fortinet FCP_FMG_AD-7.4題庫在線測試引擎版本,支持多個設備安裝,還支持離線使用。 我們Royalholidayclubbed網站是個歷史悠久的Amazon的Oracle 1Z0-1160-1考試認證培訓資料網站。 快登錄Royalholidayclubbed網站吧!這里有大量的學習資料試題和答案,是滿足嚴格質量標準的考試題庫,涵蓋所有的Amazon GARP 2016-FRR考試知識點。 有了它你就可以毫不費力的通過了這麼困難的Amazon的Oracle 1Z0-1069-24考試認證。
Updated: May 28, 2022
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