MLS-C01考證介紹

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MLS-C01 PDF DEMO:

QUESTION NO: 1
Amazon Connect has recently been tolled out across a company as a contact call center The solution has been configured to store voice call recordings on Amazon S3 The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon Transcribe is being used to convert the audio to text, and the output is stored on Amazon S3 Which approach will provide the information required for further analysis?
A. Use Amazon Comprehend with the transcribed files to build the key topics
B. Use the AWS Deep Learning AMI with Gluon Semantic Segmentation on the transcribed files to train and build a model for the key topics
C. Use Amazon Translate with the transcribed files to train and build a model for the key topics
D. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the transcribed files to generate a word embeddings dictionary for the key topics
Answer: C

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 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 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: 5
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

那麼,什麼資料有讓你選擇的價值呢?你選擇的是不是Shobhadoshi的H3C GB0-713-CN考古題?如果是的話,那麼你就不用再擔心不能通過考試了。 Huawei H20-813_V1.0 - 我們都清楚的知道,在IT行業的主要問題是缺乏一個品質和實用性。 只要您支付您想要的考古題,您就能馬上得到它,在通眾多使用過本題庫產品的客戶回饋中,證明Amazon The Open Group OGA-032考古題是值得信賴的。 如果你使用了我們的Amazon的ISC CISSP學習資料資源,一定會減少考試的時間成本和經濟成本,有助於你順利通過考試,在你決定購買我們Amazon的ISC CISSP之前,你可以下載我們的部門免費試題,其中有PDF版本和軟體版本,如果需要軟體版本請及時與我們客服人員索取。 許多考生花費了大量的時間和精力學習Amazon Amazon SAP-C02-KR考試相關知識,但是到最後卻沒有成功,分析他們失敗的原因,我們得出結論是沒有針對性的復習。

Updated: May 28, 2022

MLS-C01考證 & MLS-C01題庫資料 - MLS-C01在線題庫

PDF電子檔

考試編碼:MLS-C01
考試名稱:AWS Certified Machine Learning - Specialty
更新時間:2025-06-07
問題數量:324題
Amazon MLS-C01 考試指南

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軟體引擎

考試編碼:MLS-C01
考試名稱:AWS Certified Machine Learning - Specialty
更新時間:2025-06-07
問題數量:324題
Amazon MLS-C01 熱門考古題

  下載免費試用


 

在線測試引擎

考試編碼:MLS-C01
考試名稱:AWS Certified Machine Learning - Specialty
更新時間:2025-06-07
問題數量:324題
Amazon MLS-C01 考試內容

  下載免費試用


 

MLS-C01 考古題分享

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