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CompTIA DA0-002 Exam Overview:
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| Topic | Details |
|---|
| Topic 1 | - 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.
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| Topic 2 | - 5.0 Data Governance, Quality, and Controls
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| Topic 3 | - 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 (Q20-Q25):
NEW QUESTION # 20
A data engineer needs to create a reporting solution that has predefined filters and the ability to download .csv files. Which of the following is the best solution?
- A. Developing a dynamic dashboard that refreshes daily
- B. Generating a weekly executive summary
- C. Creating a self-service portal on the company's intranet
- D. Building an email template to request ad hoc reports
Answer: C
Explanation:
A self-service portal allows users to apply predefined filters and export data such as CSV files on demand, meeting both flexibility and usability requirements.
NEW QUESTION # 21
Which of the following data repositories stores unformatted data in its original, raw form?
- A. Data mart
- B. Data lake
- C. Data silo
- D. Data warehouse
Answer: B
Explanation:
A data lake stores data in its raw, unstructured or semi-structured form without requiring predefined schemas, allowing flexible processing and analysis later.
NEW QUESTION # 22
A data analyst is creating a new dataset that involves bringing together the following datasets:

Which of the following would be the output if the data analyst does a FULL JOIN?
Answer: A
Explanation:
A FULL JOIN returns all records from both tables. Matching records are combined based on the common ID field, while nonmatching records from either table are still included with null or blank values for the missing columns.
In the source data:
ID 23525 exists in both tables, so Frank is combined with the Chicago address.
ID 11290 exists in both tables, so Martha is combined with the Miami address.
ID 12141 exists only in the first table, so Ellen appears with blank address information.
ID 11040 exists only in the second table, so the address record appears with blank name and date-of-birth information.
NEW QUESTION # 23
A data analyst is creating a high-level report for the Chief Executive Officer. Which of the following data would most likely be included in the report?
- A. Product barcode numbers
- B. Year-to-date sales numbers
- C. Employee names
- D. Version number
Answer: B
Explanation:
Year-to-date sales numbers provide high-level performance insights appropriate for executive decision-making.
NEW QUESTION # 24
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?
- A. Area plot
- B. Scatter plot
- C. Bar chart
- D. Pie chart
Answer: B
Explanation:
A scatter plot is used to visualize the relationship between two numerical variables, such as age and income, allowing patterns or correlations to be identified.
NEW QUESTION # 25
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