A data science team needs to generate credit risk scores for all loan applicants at the end of each business day. The scoring process does not need to return results instantly, and the team wants to process the entire batch of applicants in one run. Which model deployment strategy best fits this scenario?

CertNexusCertified Data Science Practitioner (CDSP)

Domain 6Objective 2

Deploy and Manage Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 8)

Part of the 6.0 Operationalizing the pipeline domain, which accounts for 5-8% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

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Questions 36–36

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A data science team needs to generate credit risk scores for all loan applicants at the end of each business day. The scoring process does not need to return results instantly, and the team wants to process the entire batch of applicants in one run. Which model deployment strategy best fits this scenario?
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Deploy and Manage Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 8)

Questions 36–36

Keep studying — 6.0 Operationalizing the pipeline