AWS-Certified-Machine-Learning-Specialty응시자료 & AWS-Certified-Machine-Learning-Specialty It인증시험 - Amazon AWS-Certified-Machine-Learning-Specialty인증문제 - Omgzlook

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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 여러분의 성공을 빕니다.

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Omgzlook는 전문적인 IT인증시험덤프를 제공하는 사이트입니다.AWS-Certified-Machine-Learning-Specialty응시자료인증시험을 패스하려면 아주 현병한 선택입니다. Omgzlook에서는AWS-Certified-Machine-Learning-Specialty응시자료관련 자료도 제공함으로 여러분처럼 IT 인증시험에 관심이 많은 분들한테 아주 유용한 자료이자 학습가이드입니다. Omgzlook는 또 여러분이 원하도 필요로 하는 최신 최고버전의AWS-Certified-Machine-Learning-Specialty응시자료문제와 답을 제공합니다.

Amazon AWS-Certified-Machine-Learning-Specialty응시자료 - 다른 사람이 없는 자격증을 내가 가지고 있다는것은 실력을 증명해주는 수단입니다.

그렇게 많은 IT인증덤프공부자료를 제공하는 사이트중Omgzlook의 인지도가 제일 높은 원인은 무엇일가요?그건Omgzlook의 제품이 가장 좋다는 것을 의미합니다. Omgzlook에서 제공해드리는 Amazon인증 AWS-Certified-Machine-Learning-Specialty응시자료덤프공부자료는Amazon인증 AWS-Certified-Machine-Learning-Specialty응시자료실제시험문제에 초점을 맞추어 시험커버율이 거의 100%입니다. 이 덤프만 공부하시면Amazon인증 AWS-Certified-Machine-Learning-Specialty응시자료시험패스에 자신을 느끼게 됩니다.

Omgzlook의Amazon 인증AWS-Certified-Machine-Learning-Specialty응시자료시험대비 덤프로Amazon 인증AWS-Certified-Machine-Learning-Specialty응시자료시험을 패스하세요. IT인증자격증만 소지한다면 일상생활에서 많은 도움이 될것입니다.

AWS-Certified-Machine-Learning-Specialty 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