This page was exported from Free valid test braindumps [ http://free.validbraindumps.com ] Export date:Sat Apr 5 8:24:02 2025 / +0000 GMT ___________________________________________________ Title: [Oct-2024] Dumps Brief Outline Of The A00-485 Exam - ValidBraindumps [Q75-Q97] --------------------------------------------------- [Oct-2024] Dumps Brief Outline Of The A00-485 Exam - ValidBraindumps A00-485 Training & Certification Get Latest SASInstitute Certification Q75. In SAS Visual Analytics, what is the purpose of creating an aggregated measure?  To combine multiple categories into fewer levels  To replace dirty data with missing values  To calculate summary statistics for a measure  To transform a categorical variable into a numerical one Q76. When examining the summary table for group-by processing, what information can you find?  The number of observations in each group  The mean value of the target variable for each group  The standard deviation of the target variable for each group  The distribution of the group-by variable Q77. When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?  Input  Predictor  Output  Splitter Q78. When interpreting an Influence plot, what does it typically show?  The distribution of residuals in the model  The effect of each predictor variable on the response  The interaction between two predictor variables  The relationship between the response variable and the intercept term Q79. What does the Variable Importance feature help with when choosing the best fitting group-by model?  Identifying the most influential predictors  Assessing the significance of each predictor  Evaluating the multicollinearity among predictors  Understanding the distribution of the target variable Q80. How can you interpret a Parallel Coordinates plot in cluster analysis?  It shows the distribution of data within a cluster.  It visualizes the relationship between clusters.  It displays the hierarchical structure of clusters.  It provides a summary of cluster statistics. Q81. What information is conveyed by a Summary bar in model assessment?  The standard deviation of the predictor variables  The summary statistics of the response variable  The performance metrics of the model, such as AUC and KS Statistic  The distribution of residuals in the model Q82. Which statement is true for the Informative Missingness property in SAS Visual Statistics?  Missing values are imputed and indicator variables are created for missing predictors.  Missing values are flagged on diagnostic plots.  A table of missingness patterns for the predictor variables is displayed in the model output.  The user is prompted to fill in a value to impute for missing predictor variables. Q83. Refer to the exhibit:An economist is predicting demand using a linear regression model.If all of the effect variables equal 1, what is the predicted demand?  352.415433  352.405432  362.415133  352.454433 Q84. You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.Which model within SAS Visual Statistics would you use?  generalized linear model using the binomial distribution and the log link function  logistic regression model using the Probit link function  logistic regression model using the Tobit link function  logistic regression model using the Logit link function Q85. You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).Which settings in the Generalized Linear Model task are most appropriate for modeling this response?         Q86. What does the interactive group-by feature in SAS Visual Analytics allow you to do?  Dynamically change the group-by variable during analysis  Apply group-by modeling to multiple measures simultaneously  Interactively explore different levels of the group-by variable  Create subgroups within the group-by variable Q87. Refer to the Parallel Coordinates Plot shown on the Exhibit.Which two statements about cluster 0 in the Parallel Coordinates Plot are correct? (Choose two.)  It contains the most observations.  In relation to the other clusters, it consists of people from the lower income group.  In relation to the other clusters, it consists of people who are younger.  In relation to the other clusters, it consists of people whose house values are lower. Q88. In logistic regression modeling, how is the probability of an event typically estimated?  By calculating the mean of the predictor variables  By fitting a linear regression model to the data  By applying the link function to the linear predictor  By assigning roles to variables Q89. What roles can be assigned to variables in logistic regression?  Input  Target  Nominal  Interval Q90. What are the essentials of logistic regression?  Modeling binary or ordinal outcomes  Estimating probabilities of categorical outcomes  Assuming a linear relationship between predictors and response  Using the logit link function to model the probability of an event Q91. Which statement is true about performing regressions in SAS Visual Statistics?  You can specify a multinomial classifier as the response variable with linear regression.  You can specify an ordinal classifier as the response variable with linear regression.  You can build neither a linear regression nor a logistic regression with a generalized linear model.  You can build both a linear regression or a logistic regression with a generalized linear model. Q92. Refer to the exhibit:Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?  About 4 times better than a random sample of the same size  About 1.5 times better than a random sample of the same size  About 1.25 times better than a random sample of the same size  About 1.1 times better than a random sample of the same size Q93. What is the primary purpose of modeling effects in linear regression?  To assess multicollinearity among predictors  To identify outliers in the data  To capture the relationship between predictors and the response variable  To calculate the p-values of the predictors Q94. How are split points determined in a decision tree?  Randomly assigned  By maximizing information gain or Gini impurity reduction  Based on the order of appearance in the dataset  By minimizing the number of leaf nodes Q95. Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.  y = b0 + b1X1 + b2X2  y = b0 + b1X1 + b2X2 + b3(X1X2)  y = b0 + b1X1 + (b2/b1)X2  y = b0 + b1X1 + b2X1 3 Q96. How does SAS Data Integration Studio facilitate scoring new data using exported score code?  By generating score code automatically during ETL processes  By providing a visual interface for connecting to external data sources  By enabling the scheduling of batch scoring jobs  By automatically tuning hyperparameters for scoring Q97. Which of the following are common distributions used in generalized linear models?  Normal  Poisson  Exponential  Logistic  Loading … Certification Training for A00-485 Exam Dumps Test Engine: https://www.validbraindumps.com/A00-485-exam-prep.html --------------------------------------------------- Images: https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2024-10-24 15:44:26 Post date GMT: 2024-10-24 15:44:26 Post modified date: 2024-10-24 15:44:26 Post modified date GMT: 2024-10-24 15:44:26