2024 New A00-406 Dumps – Real SASInstitute Exam Questions [Q31-Q53]

0 Comments

Rate this post

2024 New A00-406 Dumps – Real SASInstitute Exam Questions

Dependable A00-406 Exam Dumps to Become SASInstitute Certified

NO.31 In a supervised learning pipeline, what is the role of the training data set?

 
 
 
 

NO.32 What is the primary difference between supervised and unsupervised learning in model building?

 
 
 
 

NO.33 In machine learning, what does “overfitting” refer to?

 
 
 
 

NO.34 In a supervised machine learning pipeline, what is the purpose of the test data set?

 
 
 
 

NO.35 What is the primary purpose of model assessment in the context of data science and machine learning?

 
 
 
 

NO.36 Which of the following is a common technique for handling missing data in a machine learning pipeline?

 
 
 
 

NO.37 What does the term “bagging” refer to in ensemble learning?

 
 
 
 

NO.38 What is a data lake?

 
 
 
 

NO.39 Which type of model is typically used for time-series forecasting?

 
 
 
 

NO.40 Which machine learning technique is typically used for building a model to predict a numeric target variable?

 
 
 
 

NO.41 What is the purpose of data profiling in data source management?

 
 
 
 

NO.42 In the context of data sources, what is ETL?

 
 
 
 

NO.43 When building a deep learning neural network, what is the purpose of the activation function in each neuron?

 
 
 
 

NO.44 In model assessment, what does “cross-validation” aim to address?

 
 
 
 

NO.45 In model assessment, what is the purpose of feature importance analysis?

 
 
 
 

NO.46 Which algorithm is commonly used for decision-making tasks in classification models?

 
 
 
 

NO.47 What is feature engineering in the context of machine learning pipelines?

 
 
 
 

NO.48 Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

 
 
 
 

NO.49 What is the primary function of a data catalog in managing data sources?

 
 
 
 

NO.50 Which algorithm is commonly used for binary classification in machine learning pipelines, especially when dealing with imbalanced datasets?

 
 
 
 

NO.51 When deploying a machine learning model, what is “model drift”?

 
 
 
 

NO.52 Which data source typically provides access to real-time financial market data?

 
 
 
 

NO.53 In the context of model building, what is the purpose of hyperparameter tuning?

 
 
 
 

Get Ready with A00-406 Exam Dumps (2024): https://www.vcedumps.com/A00-406-examcollection.html


Leave a Reply

Your email address will not be published. Required fields are marked *

Enter the text from the image below