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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
  • 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 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 (Q179-Q184):

NEW QUESTION # 179
The following SQL code returns an error in the program console:
SELECT firstName, lastName, SUM(income)
FROM companyRoster
SORT BY lastName, income
Which of the following changes allows this SQL code to run?

Answer: B

Explanation:
This question falls under theData Analysisdomain, focusing on SQL query correction. The query uses an aggregate function (SUM) but has two issues: it uses "SORT BY" (incorrect syntax) and lacks a GROUP BY clause for non-aggregated columns.
* The query selects firstName, lastName, and SUM(income), but firstName and lastName are not aggregated, requiring a GROUP BY clause.
* "SORT BY" is incorrect; the correct syntax is "ORDER BY."
* Option A: SELECT firstName, lastName, SUM(income) FROM companyRoster HAVING SUM (income) > 10000000This adds a HAVING clause but doesn't fix the GROUP BY issue, so it's still invalid.
* Option B: SELECT firstName, lastName, SUM(income) FROM companyRoster GROUP BY firstName, lastNameThis adds the required GROUP BY clause for firstName and lastName, fixing the aggregation error. While it removes the ORDER BY, the query will run without it, addressing the primary error.
* Option C: SELECT firstName, lastName, SUM(income) FROM companyRoster ORDER BY firstName, incomeThis fixes "SORT BY" to "ORDER BY" but doesn't address the missing GROUP BY, so the query remains invalid.
* Option D: SELECT firstName, lastName, SUM(income) FROM companyRosterThis removes the ORDER BY but still lacks the GROUP BY clause, making it invalid.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and adding GROUP BY fixes the aggregation error, allowing the query to run.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 180
A data analyst wants to find the mean score that students received in science classes. Given the following tables:

Which of the following will produce the desired results?

Answer: D

Explanation:
Filtering the data to include only science classes and then applying an average function on the corresponding scores calculates the mean score for those students.


NEW QUESTION # 181
An analyst is recording the following financial transaction data with a vendor:
59.99, 49.50, 70.49
Which of the following data types is the best way to record this information?

Answer: D

Explanation:
Currency data type is specifically designed to store monetary values with appropriate precision and formatting for financial transactions.


NEW QUESTION # 182
A data analyst receives a request for the current employee head count and runs the following SQL statement:
SELECT COUNT(EMPLOYEE_ID) FROM JOBS
The returned head count is higher than expected because employees can have multiple jobs.
Which of the following should return an accurate employee head count?

Answer: D

Explanation:
Counting distinct employee IDs returns each employee only once, even if the employee appears in multiple job records, which produces an accurate head count.


NEW QUESTION # 183
A data analyst needs to combine the results of two separate queries that have similar data and the same number of columns. The output must also have distinct rows. Which of the following should the data analyst use?

Answer: C

Explanation:
A union combines the results of two separate queries into a single result set when the queries return the same number of columns with compatible data types. By default, UNION returns only distinct rows, removing duplicates from the combined output.


NEW QUESTION # 184
......

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