DA0-002 EXAM QUICK PREP & LATEST DA0-002 BRAINDUMPS FREE

DA0-002 Exam Quick Prep & Latest DA0-002 Braindumps Free

DA0-002 Exam Quick Prep & Latest DA0-002 Braindumps Free

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Tags: DA0-002 Exam Quick Prep, Latest DA0-002 Braindumps Free, DA0-002 Online Exam, DA0-002 Exam Quiz, Detail DA0-002 Explanation

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CompTIA Data+ Exam (2025) Sample Questions (Q102-Q107):

NEW QUESTION # 102
A data analyst troubleshoots a dashboard every day for a week. Which of the following techniques best addresses how to validate the data moving forward?

  • A. Reaching out to users daily
  • B. Rebuilding the dashboard
  • C. Inquiring about structure changes
  • D. Setting up monitoring alerts

Answer: D

Explanation:
This question pertains to theData Governancedomain, focusing on ensuring data quality and reliability in dashboards over time. Daily troubleshooting indicates a recurring issue, and the task is to validate data moving forward.
* Inquiring about structure changes (Option A): This might identify past issues but doesn't provide ongoing validation.
* Setting up monitoring alerts (Option B): Monitoring alerts can automatically notify the analyst of data issues (e.g., missing updates, errors), providing a proactive way to validate data continuously.
* Reaching out to users daily (Option C): This is inefficient and reactive, not a sustainable validation method.
* Rebuilding the dashboard (Option D): Rebuilding might fix current issues but doesn't ensure future validation.
The DA0-002 Data Governance domain includes "data quality control concepts," such as implementing monitoring to ensure data reliability in dashboards.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 103
Which of the following best explains the purpose of data lineage?

  • A. To better understand the granularity of data variable relationships
  • B. To look up data definitions, ensuring consistent use across business units
  • C. To track data transformations from acquisition through reporting
  • D. To see the steps and path of data flow through different systems

Answer: C

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on the purpose of data lineage. Data lineage involves tracking the lifecycle of data.
* To see the steps and path of data flow through different systems (Option A): This describes a data flow diagram, not data lineage, which focuses on transformations rather than just flow.
* To better understand the granularity of data variable relationships (Option B): This relates to data modeling, not the purpose of data lineage.
* To track data transformations from acquisition through reporting (Option C): Data lineage tracks the journey of data, including transformations (e.g., cleaning, aggregation) from its source to its final use in reporting, which is its primary purpose.
* To look up data definitions, ensuring consistent use across business units (Option D): This describes a data dictionary, not data lineage.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data lineage specifically tracks transformations across the data lifecycle.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 104
A data analyst needs to get an accurate idea of how data components are automated. Which of the following types of documentation should the analyst review first?

  • A. Data flow diagram
  • B. Data dictionary
  • C. Data lineage
  • D. Data explainability report

Answer: A

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on documentation for understanding data processes. The analyst needs to understand automation of data components, which involves data movement and processes.
* Data flow diagram (Option A): A data flow diagram (DFD) visualizes how data moves through systems, including automated processes, making it the best starting point.
* Data explainability report (Option B): This is related to AI/ML model transparency, not data automation.
* Data dictionary (Option C): A data dictionary defines data elements, not how they're automated.
* Data lineage (Option D): Data lineage tracks data origin and transformations but doesn't focus on automation processes.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data flow diagram is key for visualizing automation.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 105
Which of the following allows a data analyst to send out a spreadsheet containing sensitive information without revealing personal details?

  • A. Using a UUID in the data file
  • B. Adding access controls to the ID column
  • C. Redacting all PII
  • D. Encrypting the spreadsheet

Answer: C

Explanation:
This question pertains to theData Governancedomain, focusing on data privacy and security. The task is to share a spreadsheet with sensitive information while protecting personal details.
* Using a UUID in the data file (Option A): A UUID (Universally Unique Identifier) can anonymize records, but if other PII (e.g., names) remains, personal details are still exposed.
* Redacting all PII (Option B): Redacting personally identifiable information (PII) removes sensitive details (e.g., names, addresses), ensuring personal information isn't revealed while sharing the spreadsheet.
* Adding access controls to the ID column (Option C): Access controls limit who can view the data, but the question focuses on the spreadsheet content itself, not access.
* Encrypting the spreadsheet (Option D): Encryption protects the file during transmission, but once opened, personal details are still visible unless redacted.
The DA0-002 Data Governance domain includes "data privacy concepts," and redacting PII is the most direct method to protect personal details in a shared spreadsheet.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 106
Which of the following best describes an assessment a data analyst would use to validate that the number of records in a dataset matches the expected results?

  • A. Unit test
  • B. Health check
  • C. Source control
  • D. Stress test

Answer: A

Explanation:
This question pertains to theData Governancedomain, focusing on data quality validation techniques. The task is to validate that the number of records matches expectations, which requires a specific type of assessment.
* Source control (Option A): Source control (e.g., Git) manages code versions, not dataset validation.
* Unit test (Option B): A unit test checks a specific component of a process, such as verifying that the number of records in a dataset matches the expected count, making it the best fit.
* Stress test (Option C): Stress tests evaluate system performance under load, not record counts.
* Health check (Option D): A health check monitors system status but isn't specific to validating record counts.
The DA0-002 Data Governance domain includes "data quality control concepts," and unit tests are a standard method for validating specific data outcomes like record counts.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 107
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