over 1 year ago

PDFExamDumps剛剛發布了最新的AWS-Certified-Machine-Learning-Specialty認證考試所有更新的問題及答案，來確保您考試成功通過。我們提供最新的PDF和軟件版本的問題和答案，可以保證考生的AWS-Certified-Machine-Learning-Specialty考試100%通過。在我們的網站上，您將獲得我們提供的Amazon AWS-Certified-Machine-Learning-Specialty免費的PDF版本的DEMO試用，您會發現這絕對是最值得信賴的學習資料。對于擁有高命中率的Amazon AWS-Certified-Machine-Learning-Specialty考古題，還在等什么，趕快下載最新的題庫資料來準備考試吧！ Amazon的AWS-Certified-Machine-Learning-Specialty的考試認證對每位IT人士來說都是非常重要的，只要得到這個認證你一定不回被職場淘汰，並且你將會被升職，加薪。有了這些現實的東西，你將得到你想要的一切，有人說，通過了Amazon的AWS-Certified-Machine-Learning-Specialty的考試認證就等於走向了成功，沒錯，這是真的，你有了你想要的一切就是成功的表現之一。PDFExamDumps的 Amazon的AWS-Certified-Machine-Learning-Specialty的考題資料是你們成功的源泉，有了這個培訓資料，只會加快你們成功的步伐，讓你們成功的更有自信，也是保證讓你們成功的砝碼。 >> AWS-Certified-Machine-Learning-Specialty最新題庫資源 <<

AWS-Certified-Machine-Learning-Specialty考試 - AWS-Certified-Machine-Learning-Specialty考試大綱

PDFExamDumps是一個很好的為Amazon AWS-Certified-Machine-Learning-Specialty 認證考試提供方便的網站。PDFExamDumps提供的產品能夠幫助IT知識不全面的人通過難的Amazon AWS-Certified-Machine-Learning-Specialty 認證考試。如果您將PDFExamDumps提供的關於Amazon AWS-Certified-Machine-Learning-Specialty 認證考試的產品加入您的購物車，您將節約大量時間和精力。PDFExamDumps的產品PDFExamDumps的專家針對Amazon AWS-Certified-Machine-Learning-Specialty 認證考試研究出來的，是品質很高的產品。

Amazon AWS-Certified-Machine-Learning-Specialty 考試大綱：

主題	簡介
主題 1	Select The Appropriate Model(S) For A Given Machine Learning Problem
主題 2	Evaluate Machine Learning Models Perform Hyperparameter Optimization
主題 3	Identify And Implement A Data-Transformation Solution Perform Feature Engineering
主題 4	Apply Basic AWS Security Practices To Machine Learning Solutions
主題 5	Build Machine Learning Solutions For Performance, Availability, Scalability, Resiliency, And Fault Tolerance
主題 6	Exploratory Data Analysis2.1Sanitize And Prepare Data For Modeling

最新的 AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 免費考試真題 (Q81-Q86):

問題 #81
A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression During exploratory data analysis the Specialist observes that many features are highly correlated with each other This may make the model unstable What should be done to reduce the impact of having such a large number of features?

• A. Create a new feature space using principal component analysis (PCA)
• B. Apply the Pearson correlation coefficient
• C. Use matrix multiplication on highly correlated features.
• D. Perform one-hot encoding on highly correlated features

答案：D
問題 #82
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.

Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?

• A. Single Perceptron with sigmoidal activation function
• B. Decision tree
• C. Naive Bayesian classifier
• D. Linear support vector machine (SVM)

答案：B 解題說明：
To identity fraudulent or not, you need a model with high accuracy and high recall (low false negative). The data in the graph is non-linear. Generally Decision tree gives better result for non- linear data than Naive Bayes classifier.
https://datascience.stackexchange.com/questions/6787/are-decision-tree-algorithms-linear-or- nonlinear
https://sebastianraschka.com/Articles/2014naivebayes_1.html
問題 #83
A bank's Machine Learning team is developing an approach for credit card fraud detection The company has a large dataset of historical data labeled as fraudulent The goal is to build a model to take the information from new transactions and predict whether each transaction is fraudulent or not Which built-in Amazon SageMaker machine learning algorithm should be used for modeling this problem?

• A. Random Cut Forest (RCF)
• B. K-means
• C. XGBoost
• D. Seq2seq

答案：B
問題 #84
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a machine learning specialist will build a binary classifier based on two features: age of account, denoted by x, and transaction month, denoted by y. The class distributions are illustrated in the provided figure. The positive class is portrayed in red, while the negative class is portrayed in black.

Which model would have the HIGHEST accuracy?

• A. Decision tree
• B. Single perceptron with a Tanh activation function
• C. Support vector machine (SVM) with a radial basis function kernel
• D. Linear support vector machine (SVM)

答案：C
問題 #85
A Data Scientist needs to migrate an existing on-premises ETL process to the cloud The current process runs at regular time intervals and uses PySpark to combine and format multiple large data sources into a single consolidated output for downstream processing The Data Scientist has been given the following requirements for the cloud solution
* Combine multiple data sources
* Reuse existing PySpark logic
* Run the solution on the existing schedule
* Minimize the number of servers that will need to be managed
Which architecture should the Data Scientist use to build this solution?

• A. Write the raw data to Amazon S3 Create an AWS Glue ETL job to perform the ETL processing against the input data Write the ETL job in PySpark to leverage the existing logic Create a new AWS Glue trigger to trigger the ETL job based on the existing schedule Configure the output target of the ETL job to write to a "processed" location in Amazon S3 that is accessible for downstream use.
• B. Write the raw data to Amazon S3 Schedule an AWS Lambda function to submit a Spark step to a persistent Amazon EMR cluster based on the existing schedule Use the existing PySpark logic to run the ETL job on the EMR cluster Output the results to a "processed" location m Amazon S3 that is accessible tor downstream use
• C. Use Amazon Kinesis Data Analytics to stream the input data and perform realtime SQL queries against the stream to carry out the required transformations within the stream Deliver the output results to a "processed" location in Amazon S3 that is accessible for downstream use
• D. Write the raw data to Amazon S3 Schedule an AWS Lambda function to run on the existing schedule and process the input data from Amazon S3 Write the Lambda logic in Python and implement the existing PySpartc logic to perform the ETL process Have the Lambda function output the results to a "processed" location in Amazon S3 that is accessible for downstream use

答案：B
問題 #86
...... 沒有人除外，我們PDFExamDumps保證你100%的比例， 今天你選擇PDFExamDumps，選擇你要開始的訓練，並通過你的下一次的考題，你將得到最好的資源與市場的相關性和可靠性保證。PDFExamDumps Amazon的AWS-Certified-Machine-Learning-Specialty考題和答案反映的問題問AWS-Certified-Machine-Learning-Specialty考試。 AWS-Certified-Machine-Learning-Specialty考試: https://www.pdfexamdumps.com/AWS-Certified-Machine-Learning-Specialty_valid-braindumps.html