Data Governance CAS-005 Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A financial services company is implementing a new data warehouse. The QA team is responsible for validating the data quality before the warehouse is used for reporting. The data governance team has defined data quality rules. What should the QA team do to ensure the data meets these rules?

   • ACreate test cases that verify data against the defined quality rules, including checks for completeness, accuracy, and consistency.
   • BRely on the data governance team to manually review the data after the warehouse is deployed.
   • CPerform only performance testing to ensure the warehouse can handle the expected data volume.
   • DUse a sample of the data to verify the quality rules, assuming the rest of the data is similar.
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2. 7application · medium

   A QA team is testing a new healthcare application that handles patient records. The test environment uses a copy of production data. The data governance team requires that the test data be de-identified. What is the best method to de-identify the data while maintaining its usability for testing?

   • AEncrypt the test data so that it cannot be read by unauthorized users.
   • BUse a data masking tool that consistently replaces identifiers with realistic but fictitious values.
   • CReplace all patient names with random alphanumeric strings.
   • DDelete all patient data from the test environment and use only synthetic data.
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4. 8expert · hard

   A global company is deploying a new HR system that will process employee data from multiple countries. The data governance team must ensure compliance with various data protection regulations. The team is deciding on a data storage strategy. What is the most important consideration?

   • AUse a cloud provider that offers data centers in multiple regions and let the provider decide where to store data.
   • BImplement a data residency strategy that stores employee data in the country of origin for each employee.
   • CStore all employee data in a single data center in the company's headquarters country.
   • DAnonymize all employee data before storing it to avoid compliance issues.
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5. 9foundation · easy

   How does data governance support quality assurance (QA) processes?

   • ABy defining data quality standards and validation rules that QA can verify
   • BBy reducing the need for QA testing
   • CBy storing all test results in a single database
   • DBy automatically approving all software releases
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6. 10application · medium

   A technology company is deploying a new customer support system. The data governance team has defined a data retention policy that requires customer support tickets to be retained for five years and then deleted. The system is being developed in-house. What should the development team implement to comply with this policy?

   • AArchive tickets to a cold storage solution and keep them indefinitely for reference.
   • BImplement a data retention feature in the application that automatically deletes tickets older than five years.
   • CStore all tickets in a separate database and manually delete them after five years.
   • DUse a backup system that retains data for five years and then overwrites it.
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