MLS-C01考題是Amazon認證考試，所以通過MLS-C01考題是踏上Amazon 認證的第一步。也因此MLS-C01考題認證考試變得越來越火熱，參加MLS-C01考題考試的人也越來越多，但是MLS-C01考題認證考試的通過率並不是很高。當你選擇MLS-C01考題考試時有沒有選擇相關的考試課程？ Goldmile-Infobiz的考試練習題和答案可以為一切參加IT行業相關認證考試的人提供一切所急需的資料。它能時時刻刻地提供你們想要的資料，購買我們所有的資料能保證你通過你的第一次Amazon MLS-C01考題認證考試。 Goldmile-Infobiz為你提供的測試資料不僅能幫你通過Amazon MLS-C01考題認證考試和鞏固你的專業知識，而且還能給你你提供一年的免費更新服務。
它就是Goldmile-Infobiz的MLS-C01考題考古題。
經過我們確認之后，就會處理您的請求，這樣客戶擁有足夠的保障放心購買我們的Amazon MLS-C01 - AWS Certified Machine Learning - Specialty考題考古題。 为了能够高效率地准备MLS-C01 認證資料认证考试，你知道什么工具是值得使用的吗？我来告诉你吧。Goldmile-InfobizのMLS-C01 認證資料考古題是最可信的资料。
通過Amazon MLS-C01考題的考試是不簡單的，選擇合適的培訓是你成功的第一步，選擇好的資訊來源是你成功的保障，而Goldmile-Infobiz的產品是有很好的資訊來源保障。如果你選擇了Goldmile-Infobiz的產品不僅可以100%保證你通過Amazon MLS-C01考題認證考試，還可以為你提供長達一年的免費更新。
Amazon MLS-C01考題 - Goldmile-Infobiz的產品是一個很可靠的培訓工具。
你在擔心如何通過可怕的Amazon的MLS-C01考題考試嗎？不用擔心，有Goldmile-Infobiz Amazon的MLS-C01考題考試培訓資料在手，任何IT考試認證都變得很輕鬆自如。我們Goldmile-Infobiz Amazon的MLS-C01考題考試培訓資料是Amazon的MLS-C01考題考試認證準備的先鋒。
而Goldmile-Infobiz是一個能幫助你成功通過Amazon MLS-C01考題 的網站。我相信不論在哪個行業工作的人都希望自己有很好的職業前景。
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
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Updated: May 28, 2022