我々社サイトのAmazon MLS-C01合格資料問題庫は最新かつ最完備な勉強資料を有して、あなたに高品質のサービスを提供するのはMLS-C01合格資料資格認定試験の成功にとって唯一の選択です。躊躇わなくて、Omgzlookサイト情報を早く了解して、あなたに試験合格を助かってあげますようにお願いいたします。周りの多くの人は全部Amazon MLS-C01合格資料資格認定試験にパースしまして、彼らはどのようにできましたか。 現在のこの社会の中で、優秀な人材が揃って、IT人材も多く、競争もとてもはげしくて、だから多くのIT者はIT認証試験に参加してIT業界での地位のために奮闘して、MLS-C01合格資料試験はAmazonの一つ重要な認証試験で、多くの人がAmazon認証されたくて試験に合格しなければなりません。 あなたは無料でMLS-C01合格資料復習教材をダウンロードしたいですか？もちろん、回答ははいです。
AWS Certified Specialty MLS-C01 資料は問題集と解答が含まれています。
AWS Certified Specialty MLS-C01合格資料 - AWS Certified Machine Learning - Specialty その夢は私にとってはるか遠いです。 そのとき、あなたはまだ悲しいですか。いいえ、あなたはきっと非常に誇りに思うでしょう。
最近、AmazonのMLS-C01合格資料試験は非常に人気のある認定試験です。あなたもこの試験の認定資格を取得したいのですか。さて、はやく試験を申し込みましょう。
Amazon MLS-C01合格資料 - 試験に失敗したら、全額で返金する承諾があります。
もしあなたはIT業種でもっと勉強になりたいなら、Omgzlookを選んだ方が良いです。OmgzlookのAmazonのMLS-C01合格資料試験トレーニング資料は豊富な経験を持っている専門家が長年の研究を通じて開発されたものです。それは正確性が高くて、カバー率も広いです。OmgzlookのAmazonのMLS-C01合格資料試験トレーニング資料を手に入れたら、成功に導く鍵を手に入れるのに等しいです。
すべては豊富な内容があって各自のメリットを持っています。あなたは各バーションのAmazonのMLS-C01合格資料試験の資料をダウンロードしてみることができ、あなたに一番ふさわしいバーションを見つけることができます。
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