人によって目標が違いますが、あなたにAmazon AWS-Certified-Machine-Learning-Specialty試験復習試験に順調に合格できるのは我々の共同の目標です。この目標の達成はあなたがIT技術領域へ行く更なる発展の一歩ですけど、我々社Omgzlook存在するこそすべての意義です。だから、我々社は力の限りで弊社のAmazon AWS-Certified-Machine-Learning-Specialty試験復習試験資料を改善し、改革の変更に応じて更新します。 OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty試験復習試験トレーニング資料は高品質のトレーニング資料で、１００パーセントの合格率を保証できます。もしあなたが適当な時間を持って勉強できるのなら、OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty試験復習試験トレーニング資料を選びましょう。 あなたに高品質で、全面的なAWS-Certified-Machine-Learning-Specialty試験復習参考資料を提供することは私たちの責任です。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty Omgzlookには専門的なエリート団体があります。
現在あなたは資料を探す時間を節約してAmazonのAWS-Certified-Machine-Learning-Specialty - AWS Certified Machine Learning - Specialty試験復習試験のために直ちに準備できます。 OmgzlookのAmazonのAWS-Certified-Machine-Learning-Specialty 基礎問題集試験トレーニング資料を手に入れたら、我々は一年間の無料更新サービスを提供します。それはあなたがいつでも最新の試験資料を持てるということです。
成功の喜びは大きいです。我々は弊社のソフトを通してあなたにAmazonのAWS-Certified-Machine-Learning-Specialty試験復習試験に合格する喜びを感じさせると希望しています。あなたの成功も我々Omgzlookの成功です。
Amazon AWS-Certified-Machine-Learning-Specialty試験復習 - 正しい方法は大切です。
弊社のAWS-Certified-Machine-Learning-Specialty試験復習問題集のメリットはいろいろな面で記述できます。価格はちょっと高いですが、AWS-Certified-Machine-Learning-Specialty試験復習試験に最も有効な参考書です。AWS-Certified-Machine-Learning-Specialty試験復習問題集は便利で、どこでもいつでも勉強できます。また、時間を節約でき、短い時間で勉強したら、AWS-Certified-Machine-Learning-Specialty試験復習試験に参加できます。
できるだけ100％の通過率を保証使用にしています。Omgzlookは多くの受験生を助けて彼らにAmazonのAWS-Certified-Machine-Learning-Specialty試験復習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試験復習試験を研究して解答を詳しく分析しますから。
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