Biography

최신업데이트버전MLS-C01적중율높은인증덤프공부인증덤프

성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다. Amazon인증 MLS-C01시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. Itexamdump의 Amazon인증 MLS-C01덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.

Amazon MLS-C01 (AWS Certified Machine Learning-Specialty) Certification Exam은 기계 학습 분야에서 전문 지식을 보여 주려는 개인을위한 인증 인증입니다. 이 인증은 세계 최고의 클라우드 컴퓨팅 제공 업체 중 하나 인 Amazon Web Services (AWS)가 제공합니다. 이 시험은 데이터 수집, 데이터 사전 처리, 모델 교육 및 모델 배포와 같은 분야의 개인의 기술과 지식을 테스트하도록 설계되었습니다.

Amazon MLS-C01 인증 시험을 응시하기 위해서는 후보자들은 AWS 서비스를 사용하여 기계 학습 솔루션을 설계하고 구현하는 데 최소 1년 이상의 경험을 가져야 합니다. 또한, 데이터 전처리, 피쳐 엔지니어링, 모델 선택 및 모델 평가에 대한 경험이 있어야 합니다. 추가로, 후보자들은 Python, R, Java와 같은 프로그래밍 언어에 대한 지식이 있어야 합니다.

Amazon MLS-C01 자격증 취득은 AWS 플랫폼에서 머신 러닝에 대한 전문 지식을 갖추었음을 증명하며, 머신 러닝 분야에서 다양한 직업 기회를 엽니다. 이 자격증은 데이터 과학자, 소프트웨어 개발자, 머신 러닝 엔지니어와 같은 전문가들이 AWS 플랫폼에서 머신 러닝 분야에 특화되고자 하는 경우에 이상적입니다.

>> MLS-C01적중율 높은 인증덤프공부 <<

Amazon MLS-C01시험문제 & MLS-C01시험응시

여러분은 먼저 우리 Itexamdump사이트에서 제공되는Amazon인증MLS-C01시험덤프의 일부분인 데모를 다운받으셔서 체험해보세요. Itexamdump는 여러분이 한번에Amazon인증MLS-C01시험을 패스하도록 하겠습니다. 만약Amazon인증MLS-C01시험에서 떨어지셨다고 하면 우리는 덤프비용전액 환불입니다.

최신 AWS Certified Specialty MLS-C01 무료샘플문제 (Q23-Q28):

질문 # 23
A Data Scientist received a set of insurance records, each consisting of a record ID, the final outcome among
200 categories, and the date of the final outcome. Some partial information on claim contents is also provided, but only for a few of the 200 categories. For each outcome category, there are hundreds of records distributed over the past 3 years. The Data Scientist wants to predict how many claims to expect in each category from month to month, a few months in advance.
What type of machine learning model should be used?

• A. Forecasting using claim IDs and timestamps to identify how many claims in each category to expect from month to month.
• B. Reinforcement learning using claim IDs and timestamps where the agent will identify how many claims in each category to expect from month to month.
• C. Classification month-to-month using supervised learning of the 200 categories based on claim contents.
• D. Classification with supervised learning of the categories for which partial information on claim contents is provided, and forecasting using claim IDs and timestamps for all other categories.

정답：A

설명：
Explanation
Forecasting is a type of machine learning model that predicts future values of a target variable based on historical data and other features. Forecasting is suitable for problems that involve time-series data, such as the number of claims in each category from month to month. Forecasting can handle multiple categories of the target variable, as well as missing or partial information on some features. Therefore, option C is the best choice for the given problem.
Option A is incorrect because classification is a type of machine learning model that assigns a label to an input based on predefined categories. Classification is not suitable for predicting continuous or numerical values, such as the number of claims in each category from month to month. Moreover, classification requires sufficient and complete information on the features that are relevant to the target variable, which is not the case for the given problem. Option B is incorrect because reinforcement learning is a type of machine learning model that learns from its own actions and rewards in an interactive environment. Reinforcement learning is not suitable for problems that involve historical data and do not require an agent to take actions. Option D is incorrect because it combines two different types of machine learning models, which is unnecessary and inefficient. Moreover, classification is not suitable for predicting the number of claims in some categories, as explained in option A.
References:
Forecasting | AWS Solutions for Machine Learning (AI/ML) | AWS Solutions Library Time Series Forecasting Service - Amazon Forecast - Amazon Web Services Amazon Forecast: Guide to Predicting Future Outcomes - Onica Amazon Launches What-If Analyses for Machine Learning Forecasting ...

 

질문 # 24
A Machine Learning Specialist is working with a media company to perform classification on popular articles from the company's website. The company is using random forests to classify how popular an article will be before it is published A sample of the data being used is below.
Given the dataset, the Specialist wants to convert the Day-Of_Week column to binary values.
What technique should be used to convert this column to binary values.

• A. Tokenization
• B. Binarization
• C. Normalization transformation
• D. One-hot encoding

정답：D

 

질문 # 25
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.

정답：D

설명：
The best way to address the overfitting problem in image classification is to increase the dropout rate at the flatten layer because the model is not generalized enough. Dropout is a regularization technique that randomly drops out some units from the neural network during training, reducing the co-adaptation of features and preventing overfitting. The flatten layer is the layer that converts the output of the convolutional layers into a one-dimensional vector that can be fed into the dense layers. Increasing the dropout rate at the flatten layer means that more features from the convolutional layers will be ignored, forcing the model to learn more robust and generalizable representations from the remaining features.
The other options are not correct for this scenario because:
* Increasing the learning rate would not help with the overfitting problem, as it would make the optimization process more unstable and prone to overshooting the global minimum. A high learning rate can also cause the model to diverge or oscillate around the optimal solution, resulting in poor performance and accuracy.
* Increasing the dimensionality of the dense layer next to the flatten layer would not help with the overfitting problem, as it would make the model more complex and increase the number of parameters to be learned. A more complex model can fit the training data better, but it can also memorize the noise and irrelevant details in the data, leading to overfitting and poor generalization.
* Increasing the epoch number would not help with the overfitting problem, as it would make the model train longer and more likely to overfit the training data. A high epoch number can cause the model to converge to the global minimum, but it can also cause the model to over-optimize the training data and lose the ability to generalize to new data.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
How to Reduce Overfitting With Dropout Regularization in Keras
How to Control the Stability of Training Neural Networks With the Learning Rate How to Choose the Number of Hidden Layers and Nodes in a Feedforward Neural Network?
How to decide the optimal number of epochs to train a neural network?

 

질문 # 26
A large JSON dataset for a project has been uploaded to a private Amazon S3 bucket The Machine Learning Specialist wants to securely access and explore the data from an Amazon SageMaker notebook instance A new VPC was created and assigned to the Specialist How can the privacy and integrity of the data stored in Amazon S3 be maintained while granting access to the Specialist for analysis?

• A. Launch the SageMaker notebook instance within the VPC with SageMaker-provided internet access enabled Use an S3 ACL to open read privileges to the everyone group
• B. Launch the SageMaker notebook instance within the VPC and create an S3 VPC endpoint for the notebook to access the data Copy the JSON dataset from Amazon S3 into the ML storage volume on the SageMaker notebook instance and work against the local dataset
• C. Launch the SageMaker notebook instance within the VPC and create an S3 VPC endpoint for the notebook to access the data Define a custom S3 bucket policy to only allow requests from your VPC to access the S3 bucket
• D. Launch the SageMaker notebook instance within the VPC with SageMaker-provided internet access enabled. Generate an S3 pre-signed URL for access to data in the bucket

정답：B

 

질문 # 27
A manufacturing company stores production volume data in a PostgreSQL database.
The company needs an end-to-end solution that will give business analysts the ability to prepare data for processing and to predict future production volume based the previous year's production volume. The solution must not require the company to have coding knowledge.
Which solution will meet these requirements with the LEAST effort?

• A. Use AWS Database Migration Service (AWS DMS) to transfer the data from the PostgreSQL database to an Amazon S3 bucket. Create an Amazon EMR cluster to read the S3 bucket and perform the data preparation. Use Amazon SageMaker Studio for the prediction modeling.
• B. Use AWS Glue DataBrew to read the data that is in the PostgreSQL database and to perform the data preparation. Use Amazon SageMaker Canvas for the prediction modeling.
• C. Use AWS Glue DataBrew to read the data that is in the PostgreSQL database and to perform the data preparation. Use Amazon SageMaker Studio for the prediction modeling.
• D. Use AWS Database Migration Service (AWS DMS) to transfer the data from the PostgreSQL database to an Amazon S3 bucket. Use AWS Glue to read the data in the S3 bucket and to perform the data preparation. Use Amazon SageMaker Canvas for the prediction modeling.

정답：B

설명：
AWS Glue DataBrew provides a no-code data preparation interface that enables business analysts to clean and transform data from various sources, including PostgreSQL databases, without needing programming skills. Amazon SageMaker Canvas offers a no-code interface for machine learning model training and predictions, allowing users to predict future production volume without coding expertise.
This solution meets the requirements efficiently by providing end-to-end data preparation and prediction modeling without requiring coding.

 

질문 # 28
......

Itexamdump 에서Amazon MLS-C01 덤프를 구매하시면 일년무료 업데이트서비스를 받을수 있습니다.일년무료 업데이트서비스란 구매일로부터 1년동안 구매한 덤프가 업데이트될때마다 구매시 사용한 메일주소로 가장 최신버전을 보내드리는것을 의미합니다. Amazon MLS-C01덤프에는 가장 최신시험문제의 기출문제가 포함되어있어 높은 적주율을 자랑하고 있습니다.

MLS-C01시험문제: https://www.itexamdump.com/MLS-C01.html

• MLS-C01시험내용 🙊 MLS-C01최신덤프자료 🛕 MLS-C01덤프최신버전 ⚗ { www.dumptop.com }에서（ MLS-C01 ）를 검색하고 무료 다운로드 받기MLS-C01시험덤프자료
• MLS-C01최고품질 인증시험 대비자료 💔 MLS-C01최신 업데이트버전 인증덤프 🎄 MLS-C01덤프샘플문제 체험 🛰 무료 다운로드를 위해 지금⇛ www.itdumpskr.com ⇚에서➥ MLS-C01 🡄검색MLS-C01유효한 공부자료
• 최신 MLS-C01적중율 높은 인증덤프공부 시험대비자료 📍 ▶ kr.fast2test.com ◀을(를) 열고⮆ MLS-C01 ⮄를 입력하고 무료 다운로드를 받으십시오MLS-C01최신 업데이트버전 인증덤프
• MLS-C01인증시험공부 🕸 MLS-C01최신버전덤프 🛣 MLS-C01최고품질 인증시험 대비자료 ⚜ ➡ www.itdumpskr.com ️⬅️의 무료 다운로드{ MLS-C01 }페이지가 지금 열립니다MLS-C01덤프
• MLS-C01시험내용 🎽 MLS-C01최신덤프자료 🈵 MLS-C01 100％시험패스 덤프 🍟 ⇛ www.koreadumps.com ⇚웹사이트를 열고✔ MLS-C01 ️✔️를 검색하여 무료 다운로드MLS-C01덤프
• MLS-C01 최신버전덤프, MLS-C01 PDF버전데모 🦕 [ www.itdumpskr.com ]을 통해 쉽게⮆ MLS-C01 ⮄무료 다운로드 받기MLS-C01유효한 최신덤프
• 최신 MLS-C01적중율 높은 인증덤프공부 시험대비자료 📴 ➽ www.itcertkr.com 🢪에서 검색만 하면▛ MLS-C01 ▟를 무료로 다운로드할 수 있습니다MLS-C01인증덤프공부
• MLS-C01적중율 높은 인증덤프공부 인기덤프공부 🤒 ▷ www.itdumpskr.com ◁을(를) 열고✔ MLS-C01 ️✔️를 입력하고 무료 다운로드를 받으십시오MLS-C01최신버전덤프
• MLS-C01 100％시험패스 덤프 🤼 MLS-C01인증시험 인기 덤프자료 ❗ MLS-C01최신 업데이트버전 인증덤프 📍 지금▶ www.dumptop.com ◀을(를) 열고 무료 다운로드를 위해（ MLS-C01 ）를 검색하십시오MLS-C01시험문제모음
• 시험패스 가능한 MLS-C01적중율 높은 인증덤프공부 최신버전 덤프샘플문제 다운로드 🏔 검색만 하면《 www.itdumpskr.com 》에서➥ MLS-C01 🡄무료 다운로드MLS-C01시험문제모음
• MLS-C01유효한 공부자료 👪 MLS-C01유효한 최신덤프 💝 MLS-C01유효한 공부자료 🥛 지금✔ www.exampassdump.com ️✔️을(를) 열고 무료 다운로드를 위해➠ MLS-C01 🠰를 검색하십시오MLS-C01덤프
• course.maiivucoaching.com, academy.sodri.org, www.speaksmart.site, msadvisory.co.zw, clonewebcourse.top, zeedemy.online, gurudaksh.com, www.courseciti.com, kursy.cubeweb.iqhs.pl, palabrahcdi.com