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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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.
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	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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CompTIA Data+ Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
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?

A. Key performance indicator dashboard
B. Executive summary
C. Open data portal
D. Slide presentation

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 # 161
Which of the following best describes the function of a data type?

A. To provide a generic identifier for files used in analysis
B. To differentiate the real value of the field in its context
C. To identify the program needed to open a file
D. To make the addition of individual records simpler

Answer: B

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on the purpose of data types in data management. Data types define how data is stored and interpreted.
* To provide a generic identifier for files used in analysis (Option A): Data types apply to fields within datasets, not files.
* To identify the program needed to open a file (Option B): File extensions (e.g., .csv) identify programs, not data types.
* To differentiate the real value of the field in its context (Option C): Data types (e.g., integer, string, date) define how a field's value is interpreted (e.g., "123" as a number vs. text), ensuring its real meaning in context, making this the correct answer.
* To make the addition of individual records simpler (Option D): Data types don't directly simplify record addition; they ensure proper data handling.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data types ensure fields are interpreted correctly in their context.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 162
Hotspot Question
The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:
- County outages
- Status
- Overall trend of outages
INSTRUCTIONS
Select each visualization to fit the appropriate space on the dashboard. Once you have selected all visualizations, use the drop-down menus to select the appropriate dashboard titles and axis labels, if applicable.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.

Answer:

Explanation:

NEW QUESTION # 163
Which of the following best describes the function of a data flow diagram?

A. To show how data has changed over time
B. To show how data is managed among business units
C. To show how data is acquired, processed, and output
D. To show how data is audited for integrity and consistency

Answer: C

Explanation:
A data flow diagram illustrates how data moves through a system, including how it is collected, processed, stored, and output.

NEW QUESTION # 164
Before distributing a report, a marketing analyst notices that the total distinct promotional email messages is less than the combined total of emails sent. Which of the following is the most likely reason for this difference?

A. Some emails were not delivered.
B. The aggregation did not include all emails.
C. A recipient received duplicate emails.
D. The report failed to run properly.

Answer: C

NEW QUESTION # 165
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