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| Topic | Details |
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| Topic 1 | - 5.0 Data Governance, Quality, and Controls
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| Topic 2 | - Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.
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| Topic 3 | - Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.
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| Topic 4 | - This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
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CompTIA Data+ Exam Sample Questions (Q174-Q179):
NEW QUESTION # 174
A report was previously working but now gives the following error:
The column FullName is invalid or does not exist.
Which of the following actions should a data analyst take to investigate the issue?
- A. Check report logs for other column errors.
- B. Query the table to determine the valid column names.
- C. Consult the data flow diagram to view the table definition.
- D. Rerun the report to see if the column error is transient.
Answer: B
Explanation:
Querying the table allows the analyst to verify the current schema and confirm whether the column exists or has been renamed or removed, directly addressing the cause of the error.
NEW QUESTION # 175
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. Rebuilding the dashboard
- B. Reaching out to users daily
- C. Setting up monitoring alerts
- D. Inquiring about structure changes
Answer: C
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 # 176
Which of the following best describes the reason an analyst would reference a data dictionary versus a source's metadata?
- A. To gather information about the availability of the data
- B. To gather information and resources about the data
- C. To find the content and specific attributes for a dataset
- D. To find a summary of basic information about the dataset
Answer: C
Explanation:
A data dictionary provides detailed definitions of fields, including their meaning, structure, and attributes, which helps an analyst understand the specific contents of a data set.
NEW QUESTION # 177
A sales manager wants to understand how sales are trending year over year. Which of the following chart types is the most appropriate to display the information?
- A. Donut
- B. Hierarchy
- C. Line
- D. Bubble
Answer: C
NEW QUESTION # 178
A data analyst is generating a custom report for a Chief Executive Officer's executive meeting. Later, the analyst learns that other custom reports will be required for future executive meetings. Which of the following delivery methods should the analyst use?
- A. Ad hoc
- B. Recurring
- C. Real-time
- D. Self-service
Answer: B
Explanation:
This question falls under theVisualization and Reportingdomain of DA0-002, which involves selecting appropriate delivery methods for reports. The scenario describes a need for custom reports for future executive meetings, implying a scheduled, repeated delivery.
* Ad hoc (Option A): Ad hoc reports are generated on-demand for one-time use, not suitable for ongoing needs.
* Real-time (Option B): Real-time delivery provides live data updates, which isn't necessary for scheduled executive meetings.
* Recurring (Option C): Recurring delivery involves scheduling reports to be generated and delivered at regular intervals (e.g., weekly or monthly), which fits the need for future executive meetings.
* Self-service (Option D): Self-service allows users to generate reports themselves, but the scenario implies the analyst will create the reports.
The DA0-002 Visualization and Reporting domain includes understanding "the appropriate visualization in the form of a report" with delivery methods , and recurring delivery aligns with scheduled reporting needs.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting
NEW QUESTION # 179
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