Welcome! Preparing for the SAS Certified Associate - Applied Statistics for Machine Learning (A00-480) certification exam can be a daunting task, but we're here to make it easier for you. Here are the sample questions that will help you become familiar with the SAS A00-480 exam style and structure. We encourage you to try our Demo SAS Applied Statistics for Machine Learning Certification Practice Exam to measure your understanding of the exam structure in an environment that simulates the actual test environment.
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SAS A00-480 Sample Questions:
01. Which evaluation metric is most appropriate for a classification model with imbalanced classes?
a) Accuracy
b) Precision
c) Recall
d) F1 Score
02. What statistics are commonly used for selecting variables during a sequential model selection process?
(Choose 2.)
a) F-statistic
b) Bayesian Information Criterion (BIC)
c) Significance Level
d) Mean Absolute Error (MAE)
03. You are gathering data on the circumference of tree trunks in centimeters. What is the level of measurement for circumference?
a) Interval
b) Ratio
c) Ordinal
d) Nominal
04. What does a confidence interval of 95% imply?
a) 95% of repeated samples will produce intervals containing the population parameter.
b) 95% of the sample data will fall within the interval.
c) There is a 95% probability that the interval contains the population parameter.
d) The population mean will always lie within the interval.
05. What types of input and target can be used for logistic regression?
a) A continuous target and an ordinal input.
b) An interval target and an ordinal input.
c) An ordinal target and an interval input.
d) A ratio target and a nominal input.
06. You are gathering data on products purchased by customers. What is the level of measurement of the brand of the product?
a) Ratio
b) Interval
c) Ordinal
d) Nominal
07. What is the range of Cramer's V statistic?
a) 0 to 1
b) -1 to 1
c) 0 to ∞
d) -∞ to ∞
08. You built a logistic regression model to predict if a financial transaction is fraudulent (fraud = 1) or not. Given the values of inputs, you obtained a predicted probability of 0.20. What's the meaning of this predicted probability?
(Choose 2.)
a) There is a 80% chance that the transaction is fraudulent.
b) There is a 20% chance that the transaction is fraudulent.
c) There is a 80% chance that the transaction is non-fraudulent.
d) There is a 20% chance that the transaction is non-fraudulent.
09. Which algorithm uses trial and error to discover which action yields the greatest rewards?
a) Supervised Learning
b) Unsupervised Learning
c) Semi-supervised Learning
d) Reinforcement Learning
10. Which of the following distinguishes between model parameters and hyperparameters?
a) Model parameters govern the learning process and computational aspects, while hyperparameters primarily influence the model's predictions.
b) The values of model parameters can significantly influence the selection of optimal hyperparameters, while hyperparameters do not directly impact the values of model parameters.
c) Model parameters and hyperparameters are used interchangeably when referring to the factors affecting the performance of a model.
d) Model parameters can be learned by the model through the training process, while hyperparameters must be set before training of the model or autotuned using optimization algorithms.
Answers:
|
Question: 1 |
Answer: d |
Question: 2 |
Answer: b, c |
|
Question: 3 |
Answer: b |
Question: 4 |
Answer: a |
|
Question: 5 |
Answer: c |
Question: 6 |
Answer: d |
|
Question: 7 |
Answer: a |
Question: 8 |
Answer: b, c |
|
Question: 9 |
Answer: d |
Question: 10 |
Answer: d |
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