その中の一部は暇な時間だけでAmazonのMLS-C01全真問題集試験を準備します。我々NewValidDumpsが数年以来商品の開発をしている目的はIT業界でよく発展したい人にAmazonのMLS-C01全真問題集試験に合格させることです。AmazonのMLS-C01全真問題集試験のための資料がたくさんありますが、NewValidDumpsの提供するのは一番信頼できます。 ただ、社会に入るIT卒業生たちは自分能力の不足で、MLS-C01全真問題集試験向けの仕事を探すのを悩んでいますか？それでは、弊社のAmazonのMLS-C01全真問題集練習問題を選んで実用能力を速く高め、自分を充実させます。その結果、自信になる自己は面接のときに、面接官のいろいろな質問を気軽に回答できて、順調にMLS-C01全真問題集向けの会社に入ります。 そのほかに、我々はあなたの個人情報の安全性を保証します。

我々MLS-C01全真問題集問題集を利用し、試験に参加しましょう。

そして、MLS-C01 - AWS Certified Machine Learning - Specialty全真問題集試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。 あなたはまだ躊躇しているなら、NewValidDumpsのMLS-C01 資料的中率問題集デモを参考しましょ。なにごとによらず初手は难しいです、どのようにAmazon　MLS-C01 資料的中率試験への復習を始めて悩んでいますか。

AmazonのMLS-C01全真問題集の認定試験に合格すれば、就職機会が多くなります。この試験に合格すれば君の専門知識がとても強いを証明し得ます。AmazonのMLS-C01全真問題集の認定試験は君の実力を考察するテストでございます。

Amazon MLS-C01全真問題集問題集はIT専門家が長年の研究したことです。

きみはAmazonのMLS-C01全真問題集認定テストに合格するためにたくさんのルートを選択肢があります。NewValidDumpsは君のために良い訓練ツールを提供し、君のAmazon認証試に高品質の参考資料を提供しいたします。あなたの全部な需要を満たすためにいつも頑張ります。

でも、あなたはMLS-C01全真問題集試験参考書を買ったお客様のコメントを見ると、すぐ信じるようになります。あなたは心配する必要がないです。

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