ISO/IEC/IEEE 12207:2017 Systems and software engineering Quiz 03 24Mar25 - Practice Quiz

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Question 1 of 30

Global Innovations, a multinational corporation, is migrating customer data from disparate regional databases to a centralized cloud data warehouse to enhance CRM and marketing effectiveness. During the migration, inconsistencies emerge: customer names are formatted differently across regions (e.g., \"FirstName LastName,\" \"LastName, FirstName,\" initials), contact information is incomplete or outdated, and duplicate records exist due to varying identification keys. The project team needs to address these data quality challenges to ensure the migrated data is reliable and usable for its intended purposes. Considering the specific issues of inconsistent formatting, incomplete data, and duplicate records, which of the following data quality improvement strategies would be MOST effective in directly resolving these problems during the data migration process, ensuring the consolidated data meets the required quality standards for downstream applications?

Implement a comprehensive data standardization process, defining and enforcing consistent data formats, validation rules, and deduplication techniques across the entire dataset to ensure uniformity and eliminate inconsistencies.

Conduct thorough data profiling to analyze data patterns, identify anomalies, and assess the overall quality of the data in each regional database before migration, without directly altering the data itself.

Perform data enrichment by appending missing information from external sources to complete customer records, focusing on adding new data rather than correcting existing inconsistencies.

Apply data masking techniques to protect sensitive customer information during the migration process, ensuring compliance with privacy regulations without addressing data inconsistencies or inaccuracies.

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