AmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル試験トレーニングソースを提供するサイトがたくさんありますが、Omgzlookは最実用な資料を提供します。Omgzlookには専門的なエリート団体があります。認証専門家や技術者及び全面的な言語天才がずっと最新のAmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル試験を研究していますから、AmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル認定試験に受かりたかったら、Omgzlookのサイトをクッリクしてください。 他のサイトと比較して、我が社のAWS-Certified-Machine-Learning-Specialty無料サンプル試験問題集を購買すると決定します。商品の税金について、この問題を心配できません。 試験の目標が変わる限り、あるいは我々の勉強資料が変わる限り、すぐに更新して差し上げます。
AWS-Certified-Machine-Learning-Specialty無料サンプル問題集を利用して試験に合格できます。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty無料サンプル - AWS Certified Machine Learning - Specialty そうすると、あなたがいつでも最新バージョンの資料を持っていることが保証されます。 そのため、AWS-Certified-Machine-Learning-Specialty 試験勉強攻略試験参考書に対して、お客様の新たな要求に迅速に対応できます。それは受験者の中で、AWS-Certified-Machine-Learning-Specialty 試験勉強攻略試験参考書が人気がある原因です。
OmgzlookのAWS-Certified-Machine-Learning-Specialty無料サンプル問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。もしこの問題集を利用してからやはり試験に不合格になってしまえば、Omgzlookは全額で返金することができます。あるいは、無料で試験AWS-Certified-Machine-Learning-Specialty無料サンプル問題集を更新してあげるのを選択することもできます。
Amazon AWS-Certified-Machine-Learning-Specialty無料サンプル - 常々、時間とお金ばかり効果がないです。
Omgzlookの経験豊富な専門家チームはAmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル認定試験に向かって専門性の問題集を作って、とても受験生に合っています。Omgzlookの商品はIT業界中で高品質で低価格で君の試験のために専門に研究したものでございます。
Omgzlookは多くの受験生を助けて彼らにAmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル試験に合格させることができるのは我々専門的なチームがAmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はAmazonのAWS-Certified-Machine-Learning-Specialty無料サンプル試験の資料を更新し続けています。
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