CompTIA Updated DA0-002 Exam Questions and Answers by lyla-rose

This question pertains to the Data Concepts and Environments domain, focusing on documentation for understanding datasets. The analyst needs variable-level details (e.g., field definitions), which points to a specific type of documentation.

Data lineage (Option A): Data lineage tracks data flow and transformations, not variable definitions.

Data dictionary (Option B): A data dictionary provides detailed information about variables (e.g., name, type, description), which is exactly what the analyst needs.

Data flow diagram (Option C): A data flow diagram shows data movement, not variable-level details.

Data versioning (Option D): Data versioning tracks changes to datasets, not variable definitions.

The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data dictionary is the primary tool for variable-level information.

This question falls under the Data Governance domain, focusing on tools that support data management and quality control features. The task is to identify a tool with capabilities like versioning, corruption checks, KPIs, and authentication.

Notebook (Option A): Notebooks (e.g., Jupyter) are for data analysis and coding but don’t inherently support versioning, corruption checks, or authentication.

REST API (Option B): REST APIs enable data access but don’t provide versioning or corruption checks as a primary function.

Pipeline (Option C): Data pipelines automate data workflows but don’t typically include versioning or authentication.

Source control (Option D): Source control systems (e.g., Git) support automatic versioning (tracking changes), corruption checks (integrity verification), KPIs (e.g., commit frequency), and user authentication (access control), making this the best fit.

The DA0-002 Data Governance domain includes "data quality control concepts," and source control systems provide the listed capabilities to ensure data integrity and security.

This question falls under the Data Governance domain, focusing on data breach response protocols. A data breach requires a structured response to comply with legal and regulatory requirements.

Make an announcement on social media so customers are aware as soon as possible (Option A): Public announcement without internal coordination or regulatory notification can lead to legal issues and loss of trust.

Tell the company management team and then tell regulatory agencies (Option B): This follows best practices: inform internal leadership to coordinate a response, then notify regulatory agencies as required by laws (e.g., GDPR mandates notification within 72 hours).

Keep the incident a secret until the issue is resolved (Option C): This violates regulations requiring timely breach notification.

Inform the entire IT sector, but ask for discretion (Option D): Sharing with the IT sector is vague and risks leaks; regulatory agencies should be prioritized.

The DA0-002 Data Governance domain includes "data privacy concepts," such as proper breach response procedures, emphasizing internal and regulatory notification.