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AWS-Certified-Machine-Learning-Specialty 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
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AWS-Certified-Machine-Learning-Specialty Real Torrent certification exam and plan to pass exam one shot, Goldmile-Infobiz exam braindumps will be your best assist. If you want to be a leader in some industry, you have to continuously expand your knowledge resource.
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Our AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty Real Torrent real dumps cover the comprehensive knowledge points and latest practice materials that enough to help you clear AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty Real Torrent exam tests. The innovatively crafted dumps will serve you the best; imparting you information in fewer number of questions and answers. Created on the exact pattern of the actual AWS-Certified-Machine-Learning-Specialty Latest Test Questions Answers tests, Goldmile-Infobiz’s dumps comprise questions and answers and provide all important AWS-Certified-Machine-Learning-Specialty Latest Test Questions Answers information in easy to grasp and simplified content.
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AWS-Certified-Machine-Learning-Specialty 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
ServiceNow CAD - You will never be frustrated by the fact that you can't solve a problem. Meanwhile, if you want to keep studying this course , you can still enjoy the well-rounded services by SAP C-ARCON-2508 test prep, our after-sale services can update your existing SAP C-ARCON-2508 study quiz within a year and a discount more than one year. Our Amazon AWS-Developer study materials are very popular in the international market and enjoy wide praise by the people in and outside the circle. Salesforce Agentforce-Specialist - Firstly, the pass rate among our customers has reached as high as 98% to 100%, which marks the highest pass rate in the field. For the convenience of the users, the ISTQB ISTQB-CTFL test materials will be updated on the homepage and timely update the information related to the qualification examination.
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All Of IT staff knows it is very difficult to get IT certificate. But taking certification exam and getting the certificate are a way to upgrade your ability and prove self-worth, so you have to choose to get the certificate. Isn't there an easy way to help all candidates pass their exam successfully? Of course there is. We are sure about "pass Guaranteed" & "Money Back Guaranteed" so that you can feel safe and worry-free on our website. If you want to study AWS-Certified-Machine-Learning-Specialty Real Torrent certification exam and plan to pass exam one shot, Goldmile-Infobiz exam braindumps will be your best assist. If you want to be a leader in some industry, you have to continuously expand your knowledge resource.
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Our AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty Real Torrent real dumps cover the comprehensive knowledge points and latest practice materials that enough to help you clear AWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty Real Torrent exam tests. The innovatively crafted dumps will serve you the best; imparting you information in fewer number of questions and answers. Created on the exact pattern of the actual AWS-Certified-Machine-Learning-Specialty Latest Test Questions Answers tests, Goldmile-Infobiz’s dumps comprise questions and answers and provide all important AWS-Certified-Machine-Learning-Specialty Latest Test Questions Answers information in easy to grasp and simplified content.
Our AWS-Certified-Machine-Learning-Specialty Real Torrent preparationdumps are considered the best friend to help the candidates on their way to success for the exactness and efficiency based on our experts’ unremitting endeavor. This can be testified by our claim that after studying with our AWS-Certified-Machine-Learning-Specialty Real Torrent actual exam for 20 to 30 hours, you will be confident to take your AWS-Certified-Machine-Learning-Specialty Real Torrent exam and successfully pass it. Tens of thousands of our loyal customers relayed on our AWS-Certified-Machine-Learning-Specialty Real Torrent preparation materials and achieved their dreams.
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AWS-Certified-Machine-Learning-Specialty 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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