もし君はAmazonのMLS-C01無料試験認定試験に合格するのを通じて、競争が激しいIT業種での地位を高めて、IT技能を増強するなら、Goldmile-Infobizの AmazonのMLS-C01無料試験試験トレーニング資料を選んだほうがいいです。長年の努力を通じて、Goldmile-InfobizのAmazonのMLS-C01無料試験認定試験の合格率が１００パーセントになっていました。Goldmile-Infobizを選ぶのは成功を選ぶのに等しいです。 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 で、あなたにあなたの宝庫を見つけられます。 弊社のAmazonのMLS-C01無料試験ソフトを購入するのを決めるとき、我々は各方面であなたに保障を提供します。
AWS Certified Specialty MLS-C01 逆境は人をテストすることができます。
我々Goldmile-InfobizはMLS-C01 - AWS Certified Machine Learning - Specialty無料試験試験の難しさを減らないとは言え、試験準備の難しさを減ることができます。 自分のレベルを高めたいですか。では、仕事に役に立つスキルをもっと身に付けましょう。
ほかの人はあなたの成績に驚いているとき、ひょっとしたら、あなたはよりよい仕事を探しましたかもしれません。地下鉄でほかの人はぽかんと座っているとき、あなたはPadまたはスマホでPDF版のAmazonのMLS-C01無料試験試験の資料を読むことができます。ほかの人がインタネットでゲームを遊んでいるとき、あなたはオンラインでAmazonのMLS-C01無料試験の問題集をすることができます。
つまりAmazon MLS-C01無料試験練習問題はあなたの最も正しい選択です。
Goldmile-Infobizの発展は弊社の商品を利用してIT認証試験に合格した人々から得た動力です。今日、我々があなたに提供するAmazonのMLS-C01無料試験ソフトは多くの受験生に検査されました。彼らにAmazonのMLS-C01無料試験試験に合格させました。弊社のホームページでソフトのデモをダウンロードして利用してみます。我々の商品はあなたの認可を得られると希望します。ご購入の後、我々はタイムリーにあなたにAmazonのMLS-C01無料試験ソフトの更新情報を提供して、あなたの備考過程をリラクスにします。
だから、MLS-C01無料試験復習教材を買いました。本当に助かりました。
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