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| Topic | Details |
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| Topic 1 | - 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 2 | - Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
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| Topic 3 | - 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 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 (Q79-Q84):
NEW QUESTION # 79
A company's analytics manager wants all reports to be delivered once every seven days. Which of the following is the best delivery method?
- A. Snapshot
- B. Ad hoc
- C. Recurring
- D. Custom
Answer: C
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report delivery methods. The requirement for delivery every seven days indicates a scheduled, repeating process.
* Recurring (Option A): Recurring delivery schedules reports to be generated and delivered at regular intervals (e.g., weekly), which matches the requirement of every seven days.
* Ad hoc (Option B): Ad hoc reports are one-time, on-demand reports, not suitable for scheduled delivery.
* Custom (Option C): Custom isn't a standard delivery method; it might refer to tailored reports but doesn't imply scheduling.
* Snapshot (Option D): A snapshot captures data at a specific point, not suitable for recurring delivery.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and recurring delivery is ideal for weekly reports.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 80
A data analyst is working on a three-year project to deliver sales reports on a monthly basis. The client wants a thorough analysis into customer profiles for a specific region and month. Which of the following delivery methods best fulfills this request?
- A. Ad hoc
- B. Dashboard
- C. Self-service
- D. Dynamic
Answer: A
Explanation:
An ad hoc delivery method is used when a stakeholder requests a detailed, specific analysis that is not part of the standard recurring reports. The request for a thorough analysis of customer profiles for a particular region and month is a targeted, one-time inquiry that is best fulfilled through an ad hoc report.
NEW QUESTION # 81
Which of the following should a data analyst use to most efficiently gather recently released statistical information from one site?
- A. Web scraping
- B. Surveys
- C. Public databases
- D. Application programming interface
Answer: D
Explanation:
An application programming interface (API) provides an efficient, automated way to retrieve the latest statistical data directly from a site in a structured format.
NEW QUESTION # 82
A data analyst is creating a dashboard for a group of visually impaired stakeholders. Which of the following communication approaches is best?
- A. Incorporate audio accessibility functions into graphics for all instances of the interface.
- B. Present a custom slide presentation with interactive sound effects.
- C. Partner with the human resources department to advocate on behalf of the stakeholders.
- D. Inform the supervisor that the stakeholders need assistance during the meeting.
Answer: A
Explanation:
Incorporating audio accessibility functions ensures that visually impaired users can interpret and interact with dashboard content independently, aligning with accessibility best practices.
NEW QUESTION # 83
A data analyst receives a report from a dashboard user stating that their report is taking longer than usual to load. The user needs five components for the dashboard. However, upon investigating, the analyst notices ten components that are attempting to load. Which of the following steps should the analyst take to correct this issue?
- A. Check the filters to include only the required information.
- B. Check with the network team for stale network connections.
- C. Check the refresh rate on the report server.
- D. Check with administrators to review the logs of the report server.
Answer: A
NEW QUESTION # 84
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