励ましだけであなたの試験への自信を高めるのは不可能だと知っていますから、我々は効果的なソフトを提供してあなたにAmazonのMLS-C01日本語対策問題集試験に合格させます。あなたはデモで我々のソフトの効果を体験することができます。あなたはデモから我々のAmazonのMLS-C01日本語対策問題集ソフトを開発する意図とプロを感じることができます。 ためらわずに速くあなたのショッピングカートに入れてください。でないと、絶対後悔しますよ。 権威的な国際的な証明書は能力に一番よい証明です。
AWS Certified Specialty MLS-C01 弊社は1年間の無料更新サービスを提供いたします。
それは OmgzlookのMLS-C01 - AWS Certified Machine Learning - Specialty日本語対策問題集問題集には実際の試験に出題される可能性がある問題をすべて含んでいて、しかもあなたをよりよく問題を理解させるように詳しい解析を与えますから。 同時的に、皆様の認可は我々仕事の一番良い評価です。顧客様と販売者の間での信頼性は苦労かつ大切なことだと良く知られます。
Amazonの認証資格は最近ますます人気になっていますね。国際的に認可された資格として、Amazonの認定試験を受ける人も多くなっています。その中で、MLS-C01日本語対策問題集認定試験は最も重要な一つです。
Amazon MLS-C01日本語対策問題集問題集の合格率は高いです。
OmgzlookのAmazonのMLS-C01日本語対策問題集試験トレーニング資料を使ったら、君のAmazonのMLS-C01日本語対策問題集認定試験に合格するという夢が叶えます。なぜなら、それはAmazonのMLS-C01日本語対策問題集認定試験に関する必要なものを含まれるからです。Omgzlookを選んだら、あなたは簡単に認定試験に合格することができますし、あなたはITエリートたちの一人になることもできます。まだ何を待っていますか。早速買いに行きましょう。
だから、あなたはコンピューターでAmazonのウエブサイトを訪問してください。そうすれば、あなたは簡単にMLS-C01日本語対策問題集復習教材のデモを無料でダウンロードできます。
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 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: 4
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: 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