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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 5.0 Data Governance, Quality, and Controls
Topic 4
  • 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.
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 (Q29-Q34):

NEW QUESTION # 29
Which of the following best describes the purpose of a primary key?

Answer: A

Explanation:
A primary key uniquely identifies each row in a table. It ensures that every record can be distinguished from all others and prevents duplicate entries for the key field, maintaining data integrity within the table.


NEW QUESTION # 30
A Chief Executive Officer requests a report that must:
- Summarize the company metrics in a simple way.
- Be clear and concise.
- Be easily understood by all company levels.
- Be accessible and updated without manual intervention.
Which of the following communication approaches best meets these requirements?

Answer: A

Explanation:
A key performance indicator dashboard provides a clear, concise, and easily understandable view of important business metrics. It can be updated automatically from data sources, allowing executives and employees at all levels to access current information without manual intervention.


NEW QUESTION # 31
The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?

Answer: A

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on selecting the appropriate visualization to show a relationship between two continuous variables (ages and incomes).
* Scatter plot (Option A): A scatter plot displays individual data points on two axes (age vs. income), making it ideal for showing the relationship and potential correlation between two continuous variables.
* Area plot (Option B): Area plots are used for showing trends over time, not relationships between two variables.
* Bar chart (Option C): Bar charts are better for categorical data comparisons, not continuous variable relationships.
* Pie chart (Option D): Pie charts show proportions of a whole, not suitable for showing relationships between variables.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a scatter plot is best for showing the relationship between age and income.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 32
A data analyst is compiling a report called "Product Category Sales Performance Summary Report" based on the following table:

Which of the following charts is the most appropriate?

Answer: A

Explanation:
A column chart is the most appropriate choice for a Product Category Sales Performance Summary Report because it effectively compares sales performance across discrete categories such as Baby, Home, Garden, and Furniture. It allows stakeholders to easily identify which product categories generate higher or lower sales and makes category-to-category comparisons clear.


NEW QUESTION # 33
A data analyst notices that a certain field that stores customer IDs in a defined format has incorrect values. Which of the following could help the analyst identify the issue?

Answer: D

Explanation:
Validation checks ensure that data conforms to predefined formats, rules, or constraints, which helps identify incorrect values in fields such as customer IDs.


NEW QUESTION # 34
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