Goldmile-InfobizのAmazonのMLS-C01赤本勉強試験トレーニング資料は必要とするすべての人に成功をもたらすことができます。AmazonのMLS-C01赤本勉強試験は挑戦がある認定試験です。現在、書籍の以外にインターネットは知識の宝庫として見られています。 Goldmile-Infobizを利用したら、あなたはきっと自分の理想を実現することができます。IT業種を選んだあなたは現状に自己満足することはきっとないですね。 逆境は人をテストすることができます。
AWS Certified Specialty MLS-C01 IT職員としてのあなたは切迫感を感じましたか。
利用したらMLS-C01 - AWS Certified Machine Learning - Specialty赤本勉強問題集の品質がわかるようになるので、まず問題集の無料なサンプルを試しましょう。 そうすれば、あなたは自分自身で問題集の品質が良いかどうかを確かめることができます。Goldmile-InfobizのMLS-C01 試験過去問問題集は的中率が100％に達することができます。
そのMLS-C01赤本勉強参考資料はIT認定試験の準備に使用することができるだけでなく、自分のスキルを向上させるためのツールとして使えることもできます。そのほか、もし試験に関連する知識をより多く知りたいなら、それもあなたの望みを満たすことができます。ここで私は明確にしたいのはGoldmile-InfobizのMLS-C01赤本勉強問題集の核心価値です。
Amazon MLS-C01赤本勉強 - 一体どうしたらでしょうか。
２１世紀の情報時代の到着に伴い、AmazonのMLS-C01赤本勉強試験の認定はIT業種で不可欠な認定になっています。初心者にしても、サラリーマンにしても、Goldmile-Infobizは君のために特別なAmazonのMLS-C01赤本勉強問題集を提供します。君は他の人の一半の努力で、同じAmazonのMLS-C01赤本勉強認定試験を簡単に合格できます。Goldmile-Infobizはあなたと一緒に君のITの夢を叶えるために頑張ります。まだなにを待っていますか。
しかし、難しいといっても、高い点数を取って楽に試験に合格できないというわけではないです。では、まだ試験に合格するショートカットがわからないあなたは、受験のテクニックを知りたいですか。
MLS-C01 PDF DEMO:
QUESTION NO: 1
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: 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 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: 4
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: 5
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
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Updated: May 28, 2022