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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Exam (2025) |
| Exam Number: | DA0-002 |
| Exam Duration: | 90 minutes |
| Related Certifications: | CompTIA Data+ |
| Exam Price: | USD 255 |
| Exam Format: | Performance-based, Multiple-choice |
| Certificate Validity Period: | 3 years |
| Passing Score: | 720 (scale of 100–900) |
| Real Exam Qty: | Up to 90 |
| Available Languages: | English |
| Sample Questions: | CompTIA DA0-002 Sample Questions |
| Exam Way: | Online proctored or at Pearson VUE authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended 18–24 months of experience in a report/business analyst role or equivalent knowledge |
| Official Syllabus URL: | https://www.comptia.org/certifications/data |
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NEW QUESTION # 15
Which of the following is the best way to ensure a procedure performs appropriately during heavy use?
Answer: A
Explanation:
A stress test evaluates how a procedure, system, or application performs under heavy workloads or extreme conditions. It helps identify performance limits, bottlenecks, and potential failures, ensuring the procedure continues to operate appropriately during periods of high use.
NEW QUESTION # 16
A product goes viral on social media, creating high demand. Distribution channels are facing supply chain issues because the testing and training models that are used for sales forecasting have not encountered similar demand. Which of the following best describes this situation?
Answer: A
Explanation:
Data drift occurs when real-world data patterns change from what the model was trained on, such as an unexpected surge in demand that the model has not previously encountered, leading to inaccurate predictions.
NEW QUESTION # 17
An analyst must use the same data to create reports for police patrol supervisors, the city council, and a public website. Which of the following is the best way to differentiate the reports?
Answer: A
Explanation:
This question falls under theVisualization and Reportingdomain, focusing on tailoring reports for different audiences. The same data is used for three distinct groups (supervisors, city council, public), requiring differentiation.
* Persona type (Option A): Persona types define the audience's needs and preferences (e.g., supervisors need operational details, the city council needs summaries, the public needs simplified data), making this the best way to differentiate the reports.
* Detail levels (Option B): Detail levels are a result of persona types, not the method of differentiation.
* Accessibility (Option C): Accessibility ensures access for all users (e.g., screen readers), but it's not the primary way to differentiate content.
* Sensitivity (Option D): Sensitivity determines data access (e.g., confidential vs. public), but the scenario implies all reports use the same data, just presented differently.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and persona types guide report differentiation for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 18
A data professional wants to identify all customers who made a purchase in January. Given the following table:
Which of the following types of functions should the professional use to flag the customers?
Answer: C
Explanation:
Logical functions evaluate conditions, such as checking whether the month equals January, and can be used to flag customers who meet that criterion.
NEW QUESTION # 19
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?
Answer: A
Explanation:
This question falls under theData Analysisdomain, focusing on analyzing discrepancies in data reports. The total distinct messages are fewer than the total emails sent, indicating a specific issue.
* The aggregation did not include all emails (Option A): If the aggregation missed emails, the total sent would be lower, not the distinct count.
* Some emails were not delivered (Option B): Undelivered emails would reduce the total sent, but the scenario implies the total sent is accurate.
* The report failed to run properly (Option C): A report failure would likely cause broader issues, not a specific discrepancy between distinct and total counts.
* A recipient received duplicate emails (Option D): If recipients received duplicates, the total emails sent would be higher than the distinct messages (unique email content), explaining the difference.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and identifying duplicates is a common analysis task to explain such discrepancies.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 20
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