しかも、一年間の無料更新サービスを提供します。Shobhadoshiは実際の環境で本格的なAmazonのMLS-C01ダウンロード「AWS Certified Machine Learning - Specialty」の試験の準備過程を提供しています。もしあなたは初心者若しくは専門的な技能を高めたかったら、ShobhadoshiのAmazonのMLS-C01ダウンロード「AWS Certified Machine Learning - Specialty」の試験問題があなたが一歩一歩自分の念願に近くために助けを差し上げます。 あなたはMLS-C01ダウンロード試験に不安を持っていますか?MLS-C01ダウンロード参考資料をご覧下さい。私たちのMLS-C01ダウンロード参考資料は十年以上にわたり、専門家が何度も練習して、作られました。 Shobhadoshi のMLS-C01ダウンロード試験トレーニング資料は特別にデザインしてできるだけあなたの仕事の効率を改善するのソフトです。
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したがって、ShobhadoshiのMLS-C01ダウンロード問題集も絶えずに更新されています。それに、Shobhadoshiの教材を購入すれば、Shobhadoshiは一年間の無料アップデート・サービスを提供してあげます。
QUESTION NO: 1
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
QUESTION NO: 2
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: 3
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Select THREE.)
A. Decrease dropout.
B. Increase regularization.
C. Increase feature combinations.
D. Decrease feature combinations.
E. Decrease regularization.
F. Increase dropout.
Answer: A,B,C
QUESTION NO: 4
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
B. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
C. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
Answer: C
QUESTION NO: 5
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
Microsoft DP-700J - 君がうちの学習教材を購入した後、私たちは一年間で無料更新サービスを提供することができます。 ShobhadoshiのHuawei H28-213_V1.0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。 PMI PMI-ACP - もし弊社のソフトを使ってあなたは残念で試験に失敗したら、弊社は全額で返金することを保証いたします。 ShobhadoshiのITエリートたちは彼らの専門的な目で、最新的なAmazonのISQI CTFL-AT試験トレーニング資料に注目していて、うちのAmazonのISQI CTFL-AT問題集の高い正確性を保証するのです。 しかし、我々はAmazonのSAP C-C4H47-2503試験のソフトウェアは、あなたの期待に応えると信じて、私はあなたの成功を祈っています!
Updated: May 28, 2022
試験コード:MLS-C01
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2025-06-09
問題と解答:全 330 問
Amazon MLS-C01 日本語学習内容
ダウンロード
試験コード:MLS-C01
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2025-06-09
問題と解答:全 330 問
Amazon MLS-C01 認定資格試験問題集
ダウンロード
試験コード:MLS-C01
試験名称:AWS Certified Machine Learning - Specialty
最近更新時間:2025-06-09
問題と解答:全 330 問
Amazon MLS-C01 日本語版対策ガイド
ダウンロード