This certification validates practical skills in database management, including data preparation, analysis, governance, and communicating reliable insights. It is intended for professionals who build or operate data-driven solutions.
A Data Science team plotted a scatterplot between the residuals and predicted values in a linear regression. A team member found that there is a relationship between the values and a pattern.
Which conclusion can be made about this linear regression?
A Data Scientist is creating a model that can predict the number of patients suffering from migraines. The following are the confusion matrix values:
True Positive – 100 -
False Positive – 20 -
False Negative – 30 -
True Negative – 150 -
Which of the model’s key indicators is correct?
After training a model with a stored procedure, a Data Scientist wants the output to have more than one variable to assess the accuracy, precision, and recall values.
What should the output type of the stored procedure be?
A Data Scientist wants to build an LLM-based application for categorizing transcripts of customer support calls into predefined categories in Snowflake. A large data set of labeled transcripts is available. The categories are not expected to change over time, but inference will need to be run on a very large number of transcripts. The first priority for the evaluation methodology is to optimize costs, and the second priority is accuracy.
What should the Data Scientist do to meet these requirements?
A clothing company wants to add new apparel based on customer requests. In order to prioritize the requests, the company collects customer demographic surveys that include age. The company is not concerned with a customer’s specific age, but instead what age group the customer belongs to (for example, Youth, Junior, Adult).
Which approach will prepare the data for analysis?