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AWS Certified Specialty MLS-C01 為什麼呢？有以下四個理由。
你可以在Goldmile-Infobiz的網站上免費下載部分關於Amazon MLS-C01 - AWS Certified Machine Learning - Specialty熱門證照 認證考試的練習題和答案作為嘗試，從而檢驗Goldmile-Infobiz的產品的可靠性。 Goldmile-Infobiz提供的MLS-C01 認證題庫考古題是最全面的學習資料，這是一個可以讓您高效高速的掌握知識的題庫寶典。我們提供的Amazon MLS-C01 認證題庫模擬測試題及答案和真實考試的題目及答案有95%的相似性，能保證您100%通過MLS-C01 認證題庫認證考試，滿足廣大考生需求。
為了幫助你準備MLS-C01熱門證照考試認證，我們建議你有健全的知識和經驗MLS-C01熱門證照考試，我們Goldmile-Infobiz設計的問題，可以幫助你輕鬆獲得認證，Goldmile-Infobiz Amazon的MLS-C01熱門證照考試的自由練習測試，MLS-C01熱門證照考試問題及答案，MLS-C01熱門證照考古題，MLS-C01熱門證照書籍，MLS-C01熱門證照學習指南。
Amazon MLS-C01熱門證照 - 如果你考試失敗，我們將全額退款。
我們Goldmile-Infobiz不僅僅提供優質的產品給每位元考生，而且提供完善的售後服務給每位考生，如果你使用了我們的產品，我們將讓你享受一年免費的更新，並且在第一時間回饋給每位考生，讓你及時得到更新的最新的考試資料，以最大效益的服務給每位元考生。
Amazon的MLS-C01熱門證照考試認證是當代眾多考試認證中最有價值的考試認證之一，在近幾十年裏，電腦科學教育已獲得了世界各地人們絕大多數的關注，它每天都是IT資訊技術領域的必要一部分，所以IT人士通過Amazon的MLS-C01熱門證照考試認證來提高自己的知識，然後在各個領域突破。而Goldmile-Infobiz Amazon的MLS-C01熱門證照考試認證試題及答案正是他們所需要的，因為想要通過這項測試並不容易的，選擇適當的捷徑只是為了保證成功，Goldmile-Infobiz正是為了你們的成功而存在的，選擇Goldmile-Infobiz等於選擇成功，我們Goldmile-Infobiz提供的試題及答案是Goldmile-Infobiz的IT精英通過研究與實踐而得到的，擁有了超過計畫10年的IT認證經驗。
MLS-C01 PDF DEMO:
QUESTION NO: 1
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: 2
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: 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