Omgzlookが提供したAmazonのMLS-C01参考書勉強トレーニング資料はシミュレーションの度合いがとても高いでから、実際の試験で資料での同じ問題に会うことができます。これは当社のITエリートの団体はすごい能力を持っていることが説明されました。現在、野心家としてのIT職員がたくさんいて、自分の構成ファイルは市場の需要と互換性があることを確保するために、人気があるIT認証試験を通じて自分の夢を実現します。 IT認証は同業種の欠くことができないものになりました。あなたはキャリアで良い昇進のチャンスを持ちたいのなら、OmgzlookのAmazonのMLS-C01参考書勉強「AWS Certified Machine Learning - Specialty」試験トレーニング資料を利用してAmazonの認証の証明書を取ることは良い方法です。 我々OmgzlookはAmazonのMLS-C01参考書勉強認定試験に対する効果的な資料を提供できます。
AWS Certified Specialty MLS-C01 この問題集をミスすればあなたの大きな損失ですよ。
AWS Certified Specialty MLS-C01参考書勉強 - AWS Certified Machine Learning - Specialty もし不合格になったら、私たちは全額返金することを保証します。 この資料を使用すると、あなたの学習効率を向上させ、多くの時間を節約することができます。OmgzlookのMLS-C01 無料模擬試験問題集は素晴らしい参考資料です。
うちのAmazonのMLS-C01参考書勉強試験トレーニング資料を購入する前に、Omgzlookのサイトで、一部分のフリーな試験問題と解答をダンロードでき、試用してみます。君がうちの学習教材を購入した後、私たちは一年間で無料更新サービスを提供することができます。OmgzlookのAmazonのMLS-C01参考書勉強試験トレーニング資料は試験問題と解答を含まれて、豊富な経験を持っているIT業種の専門家が長年の研究を通じて作成したものです。
Amazon MLS-C01参考書勉強 - 我々のデモから感じられます。
現在IT技術会社に通勤しているあなたは、AmazonのMLS-C01参考書勉強試験認定を取得しましたか？MLS-C01参考書勉強試験認定は給料の増加とジョブのプロモーションに役立ちます。短時間でMLS-C01参考書勉強試験に一発合格したいなら、我々社のAmazonのMLS-C01参考書勉強資料を参考しましょう。また、MLS-C01参考書勉強問題集に疑問があると、メールで問い合わせてください。
AmazonのMLS-C01参考書勉強試験にリラクスで合格するのも可能性があります。我々Omgzlookの提供するAmazonのMLS-C01参考書勉強試験のソフトを利用した多くのお客様はこのような感じがあります。
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