[02/Magdalena/12]

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Which of the following is NOT a key aspect of auditability in data management?

Reproducing data deliveries
Reproducing reports
Documenting and tracing code changes
Understanding what happened, when (correct)

Which of the following is a key aspect of information management?

Reproducing reports (correct)
Reproducing data deliveries
Understanding what happened, when
Documenting and tracing code changes

Which of the following is a key aspect of security in data management?

Reproducing data deliveries
Reproducing reports
Defined roles & responsibilities, access control (correct)
Documenting and tracing code changes

True or false: Auditability in data management involves reproducing data deliveries and reports.

True (A) Signup and view all the answers

True or false: Development Process in data management involves documenting and tracing code changes.

True (A) Signup and view all the answers

True or false: Security in data management involves defining roles and responsibilities and access control.

True (A) Signup and view all the answers

Match the following aspects of data management with their key descriptions:

Auditability Data = Reproduce data deliveries Information = Reproduce reports Development Process = Document and trace code changes Operational Process = Understand what happened, when Signup and view all the answers

Match the following aspects of data management with their primary purposes:

Auditability = Reproduce data deliveries and reports Security = Define roles & responsibilities, access control Information = Reproduce reports Operational Process = Understand what happened, when Signup and view all the answers

Match the following aspects of data management with their related activities:

Auditability Data = Reproduce data deliveries Security = Define roles & responsibilities, access control Operational Process = Understand what happened, when Development Process = Document and trace code changes Signup and view all the answers

Match the following concepts related to auditability in data-driven solutions with their descriptions:

Logging = Involves recording all actions that are taken on data Versioning = Involves creating a new version of data whenever it is changed Provenance = The history of a piece of data, including who created it, when it was created, and how it has been changed over time Auditability = The ability to track and verify the actions that are taken on data, including who performed the actions, when they were performed, and what data was affected Signup and view all the answers

Match the following examples of data-driven solutions with their applications of auditability:

A company = Track who accessed customer data and what data they accessed A financial institution = Track all changes to financial data Signup and view all the answers

Match the following key aspects of auditability in data management with their descriptions:

Reproducibility = The ability to reproduce data deliveries and reports Development Process = Involves documenting and tracing code changes Security = Involves defining roles and responsibilities and access control Auditability = Involves tracking and verifying the actions that are taken on data Signup and view all the answers

Match the following terms related to auditability in data management with their definitions:

Data Breach = Unauthorized access, disclosure, or acquisition of sensitive information Regulations = Rules and guidelines set by governing bodies Metadata = Data that provides information about other data Digital Signatures = A cryptographic method used to verify the authenticity and integrity of a message or document Signup and view all the answers

Match the following methods of implementing auditability in data-driven solutions with their descriptions:

Logging = Involves recording all actions that are taken on data, such as by writing to a log file or sending events to a logging service Versioning = Involves creating a new version of data whenever it is changed, allowing auditors to track changes over time and revert to previous versions if necessary Provenance = The history of a piece of data, including who created it, when it was created, and how it has been changed over time, can be tracked using techniques such as metadata and digital signatures Security = Involves defining roles and responsibilities and access control to ensure the data is being used correctly and solutions are compliant with regulations Signup and view all the answers

Match the following key aspects of auditability in data management with their related activities:

Reproducibility = Involves reproducing data deliveries and reports Development Process = Involves documenting and tracing code changes Security = Involves defining roles and responsibilities and access control Auditability = Involves tracking and verifying the actions that are taken on data Signup and view all the answers

Match the following terms related to auditability in data-driven solutions with their definitions:

Data Breach = Unauthorized access, disclosure, or acquisition of sensitive information Regulations = Rules and guidelines set by governing bodies Metadata = Data that provides information about other data Digital Signatures = A cryptographic method used to verify the authenticity and integrity of a message or document Signup and view all the answers

Match the following methods of implementing auditability in data management with their descriptions:

Logging = Involves recording all actions that are taken on data, such as by writing to a log file or sending events to a logging service Versioning = Involves creating a new version of data whenever it is changed, allowing auditors to track changes over time and revert to previous versions if necessary Provenance = The history of a piece of data, including who created it, when it was created, and how it has been changed over time, can be tracked using techniques such as metadata and digital signatures Security = Involves defining roles and responsibilities and access control to ensure the data is being used correctly and solutions are compliant with regulations Signup and view all the answers

Match the following examples of data-driven solutions with their applications of auditability:

A company = Track who accessed customer data and what data they accessed A financial institution = Track all changes to financial data Signup and view all the answers

Match the following concepts related to auditability in data management with their descriptions:

Logging = Involves recording all actions that are taken on data Versioning = Involves creating a new version of data whenever it is changed Provenance = The history of a piece of data, including who created it, when it was created, and how it has been changed over time Auditability = The ability to track and verify the actions that are taken on data, including who performed the actions, when they were performed, and what data was affected Signup and view all the answers

Which of the following is NOT a common method of implementing auditability in data-driven solutions?

Encryption (A) Signup and view all the answers

What is the purpose of auditability in data-driven solutions?

To track and verify actions taken on data (B) Signup and view all the answers

Which of the following is NOT a key aspect of auditability in data management?

Creating data versions (D) Signup and view all the answers

How can auditability be used in data-driven solutions?

All of the above (D) Signup and view all the answers

What is provenance in the context of auditability in data-driven solutions?

The history of a piece of data (B) Signup and view all the answers

Which of the following is a benefit of implementing auditability in data-driven solutions?

All of the above (D) Signup and view all the answers

What is the best way to implement auditability in a data-driven solution?

By tracking data provenance (A) Signup and view all the answers

What is the purpose of logging in auditability?

To track and verify actions taken on data (A) Signup and view all the answers

What is the purpose of versioning in auditability?

To create multiple versions of data (A) Signup and view all the answers

What is the purpose of provenance in auditability?

To track the history of a piece of data (B) Signup and view all the answers

True or false: Auditability is the ability to track and verify the actions taken on data?

True (A) Signup and view all the answers

True or false: Auditability helps to ensure that data-driven solutions are compliant with regulations?

True (A) Signup and view all the answers

True or false: Logging involves recording all actions taken on data?

True (A) Signup and view all the answers

True or false: Versioning allows auditors to track changes to data over time?

True (A) Signup and view all the answers

True or false: Provenance is the history of a piece of data?

True (A) Signup and view all the answers

True or false: The best way to implement auditability in a data-driven solution depends on the specific needs of the solution and the organization?

True (A) Signup and view all the answers

True or false: Auditability can be used to track who accessed customer data and what data they accessed?

True (A) Signup and view all the answers

True or false: Auditability can help identify and prevent data breaches?

True (A) Signup and view all the answers

True or false: Auditability can be used to track all changes to financial data in a financial institution?

True (A) Signup and view all the answers

True or false: Implementing auditability in data-driven solutions has no benefits?

False (B) Signup and view all the answers

[02/Magdalena/12]

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Questions and Answers

Which of the following is NOT a key aspect of auditability in data management?

Which of the following is a key aspect of information management?

Which of the following is a key aspect of security in data management?

True or false: Auditability in data management involves reproducing data deliveries and reports.

True or false: Development Process in data management involves documenting and tracing code changes.

True or false: Security in data management involves defining roles and responsibilities and access control.

Match the following aspects of data management with their key descriptions:

Match the following aspects of data management with their primary purposes:

Match the following aspects of data management with their related activities:

Match the following concepts related to auditability in data-driven solutions with their descriptions:

Match the following examples of data-driven solutions with their applications of auditability:

Match the following key aspects of auditability in data management with their descriptions:

Match the following terms related to auditability in data management with their definitions:

Match the following methods of implementing auditability in data-driven solutions with their descriptions:

Match the following key aspects of auditability in data management with their related activities:

Match the following terms related to auditability in data-driven solutions with their definitions:

Match the following methods of implementing auditability in data management with their descriptions:

Match the following examples of data-driven solutions with their applications of auditability:

Match the following concepts related to auditability in data management with their descriptions:

Which of the following is NOT a common method of implementing auditability in data-driven solutions?

What is the purpose of auditability in data-driven solutions?

Which of the following is NOT a key aspect of auditability in data management?

How can auditability be used in data-driven solutions?

What is provenance in the context of auditability in data-driven solutions?

Which of the following is a benefit of implementing auditability in data-driven solutions?

What is the best way to implement auditability in a data-driven solution?

What is the purpose of logging in auditability?

What is the purpose of versioning in auditability?

What is the purpose of provenance in auditability?

True or false: Auditability is the ability to track and verify the actions taken on data?

True or false: Auditability helps to ensure that data-driven solutions are compliant with regulations?

True or false: Logging involves recording all actions taken on data?

True or false: Versioning allows auditors to track changes to data over time?

True or false: Provenance is the history of a piece of data?

True or false: The best way to implement auditability in a data-driven solution depends on the specific needs of the solution and the organization?

True or false: Auditability can be used to track who accessed customer data and what data they accessed?

True or false: Auditability can help identify and prevent data breaches?

True or false: Auditability can be used to track all changes to financial data in a financial institution?

True or false: Implementing auditability in data-driven solutions has no benefits?

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