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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
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	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 3	5.0 Data Governance, Quality, and Controls
Topic 4	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 5	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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CompTIA Data+ Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
A data analyst is following up on a recent, company-wide data audit of customer invoice data. Which of the following is the best option for the analyst to use?

A. PII
B. PCI DSS
C. ISO
D. GDPR

Answer: D

Explanation:
This question falls under theData Governancedomain of CompTIA Data+ DA0-002, which includes understanding compliance frameworks for data audits, especially for customer data. The scenario involves a data audit of customer invoice data, which likely contains personal information, making privacy regulations relevant.
* PCI DSS (Option A): PCI DSS (Payment Card Industry Data Security Standard) applies specifically to payment card data, not general customer invoice data unless credit card details are involved, which isn't specified.
* GDPR (Option B): GDPR (General Data Protection Regulation) is a comprehensive privacy regulation for handling personal data of EU citizens, including customer invoice data, which may contain PII like names and addresses. It's the most relevant for a company-wide data audit.
* ISO (Option C): ISO standards (e.g., ISO 27001) relate to information security management but are not specific to customer data privacy audits.
* PII (Option D): PII (Personally Identifiable Information) is a concept, not a framework or tool for conducting an audit.
The DA0-002 Data Governance domain emphasizes "identifying PII and data privacy concepts," and GDPR is the most appropriate framework for auditing customer data to ensure compliance with privacy laws.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.

NEW QUESTION # 35
The human resources department wants to know the number of employees who earn $125,000 or more. However, the department is concerned about duplicates in the data set. Given the following table:

Which of the following SQL statements resolves this issue?

A. SELECT DISTINCT Employee_ID FROM Employee WHERE Salary >= 125000
B. SELECT COUNT(Employee_ID) FROM Employee WHERE Salary >= 125000
C. SELECT COUNT(DISTINCT Employee_ID) FROM Employee WHERE Salary >= 125000
D. SELECT DISTINCT Employee_ID FROM Employee WHERE Salary > 125000

Answer: C

Explanation:
Counting distinct employee IDs removes duplicates while still restricting the result to employees whose salary is at least $125,000, which returns the number of unique employees meeting the requirement.

NEW QUESTION # 36
Which of the following tables holds relational keys and numeric values?

A. Dimensional
B. Graph
C. Fact
D. Transactional

Answer: C

NEW QUESTION # 37
A data analyst needs to remove all duplicate values between two tables, "Employees" and
"Managers," using SQL SELECT statements. Which of the following should the analyst use for this task?

A. SELECT * FROM Employees UNION SELECT * FROM Managers
B. SELECT * FROM Employees UNION ALL SELECT * FROM Managers
C. SELECT * FROM Employees JOIN SELECT * FROM Managers
D. SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers

Answer: A

Explanation:
UNION combines the results of two SELECT statements and automatically removes duplicate rows from the combined result set. This makes it the appropriate choice when the requirement is to eliminate all duplicate values between the Employees and Managers tables.

NEW QUESTION # 38
A data analyst needs to generate a list of employees who currently live in Dade, FL. Given the following table:

Which of the following SQL statements should the analyst use to complete this task?

A. SELECT * FROM Employee WHERE emp_city = 'Dade' OR emp_st = 'FL';
B. SELECT * FROM Employee WHERE emp_city = 'Dade' AND emp_st = 'FL';
C. SELECT * FROM Employee WHERE emp_city IN ('Dade', 'FL');
D. SELECT * FROM Employee WHERE emp_city LIKE 'D%';

Answer: B

Explanation:
The requirement is to return only employees who live in both the city of Dade and the state of FL.
Using the AND operator ensures that both conditions must be true for a record to be included in the result set.

NEW QUESTION # 39
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