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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 | - 5.0 Data Governance, Quality, and Controls
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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 | - Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.
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| Topic 5 | - 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 (Q14-Q19):
NEW QUESTION # 14
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?
- A. The company changed its database authentication method.
- B. The password expiration process locked the account.
- C. The analyst did not change the password used to launch the report.
- D. The company is experiencing issues with password replication.
Answer: C
Explanation:
The recurring analysis likely uses stored database credentials. After the analyst changed the company password, the password saved in the report, scheduled job, or database connection was no longer valid. As a result, the automated process failed authentication and returned the log-in error.
NEW QUESTION # 15
A data analyst needs to create a combined report that includes information from the following two tables:

Which of the following query methods should the analyst use for this task?
- A. Group
- B. Nested
- C. Join
- D. Union
Answer: D
Explanation:
A union combines rows from two tables with the same structure into a single result set, making it appropriate for merging managers and non-managers into one report.
NEW QUESTION # 16
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. Real-time
- B. Recurring
- C. Ad hoc
- 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 # 17
A table contains several rows of cellular numbers with call timestamps, call durations, called numbers, and carriers of the called number. Which of the following allows a data analyst to sort the cellular numbers based on the carriers of the called numbers and include the total call durations?
- A. SELECT cellular_number, called_number_carrier, SUM(call_duration) FROM calls GROUP BY cellular_number, called_number_carrier ORDER BY called_number_carrier;
- B. SELECT cellular_number, called_number_carrier, SUM(call_duration) FROM calls GROUP BY call_duration ORDER BY called_number_carrier;
- C. SELECT cellular_number, SUM(call_duration) FROM calls GROUP BY call_duration ORDERBY called_number_carrier;
- D. SELECT cellular_number, called_number_carrier, SUM(call_duration) FROM calls GROUP BY cellular_number ORDER BY called_number_carrier;
Answer: A
Explanation:
Grouping by both cellular number and called number carrier allows aggregation of total call duration per combination, and ordering by the carrier sorts the results as required.
NEW QUESTION # 18
A data analyst is preparing a survey for Paralympic Games athletes. Which of the following should the analyst consider when creating this survey?
- A. Color contrast
- B. Granularity
- C. Idioms
- D. Refresh speed
Answer: A
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on survey design considerations, particularly for accessibility. The survey is for Paralympic athletes, who may have visual impairments, requiring specific design considerations.
* Idioms (Option A): Idioms (e.g., colloquial phrases) might confuse non-native speakers, but they're not a primary survey design concern for Paralympic athletes.
* Color contrast (Option B): High color contrast ensures readability for athletes with visual impairments (e.g., color blindness), a critical accessibility consideration for Paralympic surveys.
* Refresh speed (Option C): Refresh speed is relevant for dashboards, not static surveys.
* Granularity (Option D): Granularity refers to data detail levels, not a survey design consideration.
The DA0-002 Visualization and Reporting domain includes "translating business requirements to form the appropriate visualization," and color contrast is a key accessibility factor in survey design for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 19
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