ここで言いたいのは、どのようにすれば効率的にMLS-C01学習教材認定試験の準備をして一回で試験に合格できるのかということです。Amazonの認定試験は現在とても人気がある試験ですね。この重要な認証資格をもうすでに手に入れましたか。 Goldmile-InfobizのMLS-C01学習教材問題集はあなたを楽に試験の準備をやらせます。それに、もし最初で試験を受ける場合、試験のソフトウェアのバージョンを使用することができます。 難しいMLS-C01学習教材認定試験に合格したいなら、試験の準備をするときに関連する参考書を使わないとダメです。
その他、MLS-C01学習教材問題集の更新版を無料に提供します。
Goldmile-InfobizはあなたのAmazonのMLS-C01 - AWS Certified Machine Learning - Specialty学習教材試験を準備する間あなたの最もよい友達です。 多くの人々はAmazonのMLS-C01 テストトレーニング試験に合格できるのは難しいことであると思っています。この悩みに対して、我々社Goldmile-InfobizはAmazonのMLS-C01 テストトレーニング試験に準備するあなたに専門的なヘルプを与えられます。
それなので、MLS-C01学習教材に関する英語試験や日本語試験に参加する予定があるご客様は安心に問題集を購入できます。MLS-C01学習教材試験のために、気楽に準備したり、参加したりしています。その他、我々のMLS-C01学習教材日本語問題集を購入すると、英語版を送ります。
我々社のAmazon MLS-C01学習教材問題集を参考した後、ほっとしました。
今競争の激しいIT業界で地位を固めたいですが、Amazon MLS-C01学習教材認証試験に合格しなければなりません。IT業界ではさらに強くなるために強い専門知識が必要です。Amazon MLS-C01学習教材認証試験に合格することが簡単ではなくて、Amazon MLS-C01学習教材証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。
もしあなたはAmazon MLS-C01学習教材試験問題集に十分な注意を払って、MLS-C01学習教材試験の解答を覚えていれば、MLS-C01学習教材認定試験の成功は明らかになりました。Amazon MLS-C01学習教材模擬問題集で実際の質問と正確の解答に疑問があれば、無料の練習問題集サンプルをダウンロードし、チェックしてください。
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