MLS-C01専門知識訓練、MLS-C01無料過去問 - Amazon MLS-C01必殺問題集 - Omgzlook

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AWS Certified Specialty MLS-C01 Omgzlookを選択したら、成功をとりましょう。

AWS Certified Specialty MLS-C01専門知識訓練 - AWS Certified Machine Learning - Specialty 社会と経済の発展につれて、多くの人はIT技術を勉強します。 MLS-C01 対応問題集 勉強資料は公式AmazonのMLS-C01 対応問題集試験トレーニング授業 、AmazonのMLS-C01 対応問題集 自習ガイド、AmazonのMLS-C01 対応問題集 の試験と実践やAmazonのMLS-C01 対応問題集オンラインテストなどに含まれています。Omgzlook がデザインしたAmazonのMLS-C01 対応問題集模擬トレーニングパッケージはあなたが楽に試験に合格することを助けます。

あなたにAmazon MLS-C01専門知識訓練試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはMLS-C01専門知識訓練試験に合格しなかったら、全額返金のことを承諾します。我々Omgzlookは一番行き届いたアフタサービスを提供します。

Amazon MLS-C01専門知識訓練 - その夢は私にとってはるか遠いです。

OmgzlookのAmazonのMLS-C01専門知識訓練試験トレーニング資料はIT認証試験を受ける全ての受験生が試験に合格することを助けるもので、受験生からの良い評価をたくさんもらいました。Omgzlookを選ぶのは成功を選ぶのに等しいです。もしOmgzlookのAmazonのMLS-C01専門知識訓練試験トレーニング資料を購入した後、学習教材は問題があれば、或いは試験に不合格になる場合は、私たちが全額返金することを保証いたしますし、私たちは一年間で無料更新サービスを提供することもできます。

あなたの夢は何ですか。あなたのキャリアでいくつかの輝かしい業績を行うことを望まないのですか。

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