[02/Magdalena/11]

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Questions and Answers

Which of the following is NOT a reason why data lineage tracking is important?

  • To track the flow of data (correct)
  • To comply with regulatory requirements
  • To enhance data governance
  • To improve data quality

What is the purpose of data lineage tracking?

  • To track the flow of data (correct)
  • To enhance data governance
  • To improve data quality
  • To comply with regulatory requirements

Why is data lineage tracking important for data governance?

  • To track the flow of data
  • To enhance data governance (correct)
  • To improve data quality
  • To comply with regulatory requirements

True or false: Data lineage tracking is the process of tracking the flow of data throughout its lifecycle, from origin to its destination?

<p>True (A)</p>
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True or false: Data lineage tracking helps improve data quality?

<p>True (A)</p>
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True or false: Data lineage tracking is not necessary to comply with regulatory requirements?

<p>False (B)</p>
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Match the following terms with their definitions:

<p>Data Lineage Tracking = The process of tracking the flow of data throughout its lifecycle, from origin to its destination Data Quality = The degree to which data meets the needs of its intended use Regulatory Requirements = Rules and regulations set by government or industry bodies that organizations must follow Data Governance = The overall management of the availability, usability, integrity, and security of data used in an enterprise</p>
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Match the following reasons with their corresponding importance in data lineage tracking:

<p>Improve Data Quality = Ensures the accuracy and reliability of data Comply with Regulatory Requirements = Helps organizations meet legal and industry standards Improve Data Governance = Provides visibility and control over data assets Track the flow of data = Allows organizations to understand how data is transformed and used</p>
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Match the following terms with their roles in data management:

<p>Data Lineage = Tracks the flow of data from its origin to destination Data Quality = Measures the accuracy, completeness, and consistency of data Regulatory Compliance = Ensures adherence to laws, regulations, and standards Data Governance = Defines policies and procedures for data management</p>
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Match the following concepts related to data lineage with their definitions:

<p>Data lineage = The process of tracking the flow of data throughout its lifecycle, from its origin to its destination Data quality = Can be ensured by data lineage through identification and correction of errors Data compliance = Can be achieved by data lineage through tracking the flow of personal data to comply with regulations Data governance = Can be improved by data lineage through providing visibility into how data is used</p>
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Match the following data lineage implementation tools with their descriptions:

<p>Data lineage software = Tools specifically designed to track and visualize the flow of data Data catalogs = Tools used to organize and manage metadata, including data lineage information Data warehouses = Centralized repositories of integrated data used for reporting and data analysis Data sources = The origin of the data that is being tracked by data lineage</p>
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Match the following examples of data lineage usage with their descriptions:

<p>Identify the source of a data error = Involves using data lineage to trace back the origin of an incorrect piece of data Demonstrate GDPR compliance = Involves using data lineage to show regulators how personal data is being handled Identify important data sources = Involves using data lineage to determine which sources need improvement for better data quality Improve data governance = Involves using data lineage to gain insight into how data is used and make informed decisions</p>
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Match the following tips for implementing data lineage with their descriptions:

<p>Start by identifying the data sources that are most important = A crucial step in implementing data lineage Track the flow of data from these data sources to their destinations = The main objective of data lineage Consider the specific needs of the organization = The best approach for implementing data lineage depends on this Use appropriate tools and techniques = Data lineage can be implemented using a variety of these</p>
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Match the following statements about data lineage with their corresponding status:

<p>Data lineage is the process of tracking the flow of data throughout its lifecycle = True Data lineage is not necessary to comply with regulatory requirements = False Data lineage helps improve data quality = True Data lineage is an important tool for organizations of all sizes = True</p>
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Match the following aspects of data lineage with their roles:

<p>Identifying and correcting errors = Role in ensuring data quality Tracking the flow of personal data = Role in achieving data compliance Providing visibility into how data is used = Role in improving data governance Tracking the flow of data from its origin to its destination = Core role of data lineage</p>
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Match the following reasons for implementing data lineage with their corresponding benefits:

<p>Improve data quality = By identifying and correcting errors in the data Achieve data compliance = By tracking the flow of personal data to comply with regulations Enhance data governance = By providing visibility into how data is used Optimize data usage = By identifying the most important data sources for a particular business process</p>
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Match the following terms with their roles in the data lineage process:

<p>Data origin = Where the data comes from Data transformation = How the data is changed or manipulated Data destination = Where the data is sent or used Data lineage = The process of tracking the flow of data throughout its lifecycle</p>
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Match the following regulatory requirements with their corresponding data lineage roles:

<p>General Data Protection Regulation (GDPR) = Data lineage can help organizations to comply by tracking the flow of personal data Health Insurance Portability and Accountability Act (HIPAA) = Data lineage can help organizations to comply by tracking the flow of protected health information Sarbanes-Oxley Act (SOX) = Data lineage can help organizations to comply by tracking the flow of financial data California Consumer Privacy Act (CCPA) = Data lineage can help organizations to comply by tracking the flow of personal data of California residents</p>
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Match the following data lineage implementation approaches with their descriptions:

<p>Software-based approach = Relies on specialized tools and software for tracking and visualizing data lineage Manual approach = Involves documenting and tracking data lineage manually, without the use of automated tools Hybrid approach = Combines both software-based and manual approaches to implement data lineage Custom approach = Involves building a tailored data lineage solution from scratch to meet specific organizational needs</p>
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Which of the following is NOT a benefit of implementing data lineage?

<p>Increasing data security (D)</p>
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What is the purpose of data lineage?

<p>Tracking the flow of data from origin to destination (D)</p>
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Which tool or technique can be used to implement data lineage?

<p>Data lineage software (C)</p>
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How can data lineage help organizations comply with regulations?

<p>By tracking the flow of personal data (C)</p>
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What is the best approach for implementing data lineage?

<p>Using data lineage software (D)</p>
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How can data lineage be used to improve data quality?

<p>By identifying the source of data errors (C)</p>
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Why is data lineage important for data governance?

<p>To provide visibility into how data is used (D)</p>
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What is the first step in implementing data lineage?

<p>Identifying the most important data sources (C)</p>
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How can data lineage be used to demonstrate compliance with regulations?

<p>By tracking the flow of personal data (A)</p>
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What role does data lineage play in data management?

<p>Tracking the flow of data (B)</p>
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True or false: Data lineage is the process of tracking the flow of data throughout its lifecycle, from its origin to its destination?

<p>True (A)</p>
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True or false: Data lineage helps organizations improve the quality, compliance, and governance of their data?

<p>True (A)</p>
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True or false: Data lineage is not important for data governance?

<p>False (B)</p>
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True or false: Data lineage can help organizations comply with regulations, such as the General Data Protection Regulation (GDPR)?

<p>True (A)</p>
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True or false: Data lineage can be implemented using a variety of tools and techniques?

<p>True (A)</p>
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True or false: Data lineage is only useful for large organizations?

<p>False (B)</p>
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True or false: Data lineage can be used to identify the source of data errors?

<p>True (A)</p>
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True or false: Data lineage is not necessary for improving data quality?

<p>False (B)</p>
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True or false: Data lineage provides visibility into how data is used?

<p>True (A)</p>
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True or false: Data lineage is the process of tracking the flow of personal data only?

<p>False (B)</p>
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