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MLS-C01 證照考試 & Amazon AWS Certified Machine Learning Specialty 真題材料 - Royalholidayclubbed
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Amazon MLS-C01證照考試 是個能對生活有改變的認證考試。
AWS Certified Specialty MLS-C01證照考試 - AWS Certified Machine Learning - Specialty Royalholidayclubbed的產品是由很多的資深IT專家利用他們的豐富的知識和經驗針對IT相關認證考試研究出來的。 如果你沒有通過考試，Royalholidayclubbed會全額退款給你。你也可以先在網上免費下載Royalholidayclubbed提供的部分關於Amazon MLS-C01 考試心得 認證考試的練習題和答案作為嘗試，在你瞭解了我們的可靠性後，快將我們Royalholidayclubbed提供的產品加入您的購物車吧。
Royalholidayclubbed是個為Amazon MLS-C01證照考試 認證考試提供短期的有效培訓的網站，但是Royalholidayclubbed能保證你的Amazon MLS-C01證照考試 認證考試及格。如果你不及格，我們會全額退款。在你選擇購買Royalholidayclubbed的產品之前，你可以在Royalholidayclubbed的網站上免費下載我們提供的部分關於Amazon MLS-C01證照考試認證考試的練習題及答案作為嘗試，那樣你會更有信心選擇Royalholidayclubbed的產品來準備你的Amazon MLS-C01證照考試 認證考試。
對於 Amazon的Amazon MLS-C01證照考試考試認證每個考生都很迷茫。
我們Royalholidayclubbed的 Amazon的MLS-C01證照考試的考題資料是按照相同的教學大綱來來研究的，同時也不斷升級我們的培訓材料，所以我們的考試培訓資料包括試題及答案，和實際的考試相似度非常高，所以形成了我們Royalholidayclubbed的通過率也是非常的高，這也是不可否認的事實， 由此知道Royalholidayclubbed Amazon的MLS-C01證照考試考試培訓資料對考生的幫助，而且我們的價格絕對合理，適合每位IT認證的考生。
目前Amazon的MLS-C01證照考試認證考試真的是一門人氣很高的考試。還沒有取得這個考試的認證資格的你，是不是也想參加考試呢？確實，這是一門很難的考試。
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
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