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AWS Certified Specialty MLS-C01 還會讓你又一個美好的前程。
AWS Certified Specialty MLS-C01最新考題 - AWS Certified Machine Learning - Specialty 這是一個評價很高的資料，有了它，你就不用再擔心你的考試了。 我們Goldmile-Infobiz網站是在盡最大的努力為廣大考生提供最好最便捷的服務。速度和高效率當然不可避免，在當今的社會裏，高效率走到哪里都是熱議的話題，所以我們網站為廣大考生設計了一個高效率的培訓資料，可以讓考生迅速領悟，從而考試取得優異的成績。
PDF版的考古題方便你的閱讀，為你真實地再現考試題目。軟體版本的考古題作為一個測試引擎，可以幫助你隨時測試自己的準備情況。如果你想知道你是不是充分準備好了考試，那麼你可以利用軟體版的考古題來測試一下自己的水準。
Amazon MLS-C01最新考題 - 這樣討得上司的喜歡，還不如用實力說話。
最新的Amazon MLS-C01最新考題考試是最受歡迎的認證之一，很多考生都沒有信心來獲得此認證，Goldmile-Infobiz保證我們最新的MLS-C01最新考題考古題是最適合您需求和學習的題庫資料。無論您是工作比較忙的上班族，還是急需認證考試的求職者，我們的Amazon MLS-C01最新考題考古題都適合您們使用，保證100%通過考試。我們還提供一年免費更新服務，一年之內，您可以獲得您所購買的MLS-C01最新考題更新后的新版本，這是不錯的選擇！
但是，當屬於我們的機會到來的時候我們是否能成功地抓住它呢？正在準備Amazon的MLS-C01最新考題考試的你，是否抓住了Goldmile-Infobiz這個可以讓你成功的機會呢？Goldmile-Infobiz的MLS-C01最新考題資料是你可以順利通過考試的保障，有了它，你將節省大量的時間，高效率地準備考試。如果你用了Goldmile-Infobiz的資料，你可以很明顯地感覺到它的與眾不同和它的高品質。
MLS-C01 PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 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 built an image classification deep learning model. However the
Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and
75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C
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Updated: May 28, 2022