A00-406 by SASInstitute Valid Free Exam Practice Test

Question 1

What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?

A. Support for complex data structures B. Simple and standardized communication C. Real-time data processing D. High security features

Correct Answer: B

Question 2

What is the purpose of hyperparameter tuning in a machine learning pipeline?

A. To evaluate the model's predictions B. To optimize the model's hyperparameters for better performance C. To train the model D. To select the most important features

Correct Answer: B

Question 3

What is the difference between a classification problem and a regression problem in machine learning?

A. There is no difference; the terms are used interchangeably. B. Classification is a type of regression problem. C. Classification predicts categorical outcomes, while regression predicts numeric outcomes. D. Regression predicts categorical outcomes, while classification predicts numeric outcomes.

Correct Answer: C

Question 4

What is a common example of an external data source for an organization?

A. Intranet portals B. Employee databases C. Customer surveys D. Internal emails

Correct Answer: C

Question 5

What is the primary objective of model evaluation in the context of building predictive models?

A. Cleaning the data B. Assessing the model's performance and accuracy C. Visualizing data D. Discovering patterns in data

Correct Answer: B

Question 6

What is overfitting in machine learning, and how can it be addressed in a pipeline?

A. Overfitting occurs when the model is too complex and overperforms. B. Overfitting occurs when the model is too simple and underperforms. C. Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques. D. Overfitting is not a concern in machine learning pipelines.

Correct Answer: C

Question 7

What is "model retraining" in the context of model deployment?

A. The process of data preprocessing B. Periodically updating and improving a deployed model with new data C. The process of feature selection D. The process of building the initial model

Correct Answer: B

Question 8

A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A. Rules for model comparison statistic B. Partition Data percentages C. Event-based Sampling proportions D. Advisor Options for missing values

Correct Answer: A

Question 9

Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?

A. MySQL B. MongoDB C. Oracle Database D. Microsoft SQL Server

Correct Answer: B

Question 10

Which of the following is NOT a common data format for exchanging data between systems?

A. SQL (Structured Query Language) B. JSON (JavaScript Object Notation) C. CSV (Comma-Separated Values) D. HTML (Hypertext Markup Language)

Correct Answer: A

SASInstitute SAS® Viya® Supervised Machine Learning Pipelines - A00-406 Exam Practice Test