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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Exam (2025) |
| Exam Number: | DA0-002 |
| Exam Format: | Multiple-choice, Performance-based |
| Passing Score: | 720 (scale of 100โ900) |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Up to 90 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Exam Price: | USD 255 |
| Related Certifications: | CompTIA Data+ |
| Sample Questions: | CompTIA DA0-002 Sample Questions |
| Exam Way: | Online proctored or at Pearson VUE authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended 18โ24 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 # 180
A data analyst receives a flat file that includes dates. The analyst needs to calculate the number of days from the dates on the file to the current date. Which of the following is the best way to complete this task?
Answer: C
Explanation:
This question pertains to theData Analysisdomain, focusing on date calculations. The task is to calculate the difference between dates in a file and the current date, requiring proper date handling.
* Convert data to date format and use date functions (Option A): Flat files often store dates as strings (e.g., "2023-01-01"). Converting them to a date format (e.g., using Python's datetime or SQL's TO_DATE) allows the use of date functions (e.g., DATEDIFF) to calculate the difference to the current date, which is the best approach.
* Validate the date format with logical functions and use date functions to analyze (Option B):
Validation is unnecessary if conversion handles format issues, making this overly complex.
* Use date functions to analyze the data with no conversion (Option C): Without converting to a date format, date functions may fail if the data is stored as strings.
* Transform data to a numerical value and use mathematical functions (Option D): This is inefficient and error-prone compared to using date functions.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and converting to date format followed by date functions is the standard method for such calculations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 181
Which of the following best explains the purpose of data lineage?
Answer: D
Explanation:
Data lineage documents the lifecycle of data, showing how it moves and changes as it passes through systems, processes, and transformations--from initial acquisition to final reporting and consumption. It helps organizations understand where data came from, how it was modified, and whether it can be trusted for decision-making.
NEW QUESTION # 182
Giving the following values:
47
59
83
33
51
39
52
Which of the following is the mean?
Answer: C
Explanation:
The mean is the average of the values: (47 + 59 + 83 + 33 + 51 + 39 + 52) รท 7 = 51.43, rounded to 51.
NEW QUESTION # 183
A data analyst creates a report about the time that elapses between sequential events. The data set has several rows with negative integers in the elapsed time column. Which of the following is the best way to address this issue?
Answer: A
Explanation:
The presence of negative elapsed times suggests a potential data quality issue, such as incorrect event ordering, timestamp errors, or data entry problems. The best approach is to validate the data set before analysis to determine the cause of the negative values and ensure the data is accurate and reliable.
NEW QUESTION # 184
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:
Please, select each visualization to fit the appropriate space on the dashboard and choose an appropriate color scheme. Once you have selected all visualizations, please, select the appropriate titles and labels, if applicable.
Titles and labels may be used more than once.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
Answer:
Explanation:
Power outages
Explanation:
This is a simulation question that requires you to create a dashboard with visualizations that meet the director' s needs.Here are the steps to complete the task:
* Drag and drop the visualization that shows the county outages on the top left space of the dashboard.
This visualization is a map of the state with different colors indicating the number of outages in each county. You can choose any color scheme that suits your preference, but make sure that the colors are consistent and clear. For example, you can use a gradient of red to show the counties with more outages and green to show the counties with less outages.
* Drag and drop the visualization that shows the status of the outages on the top right space of the dashboard. This visualization is a pie chart that shows the percentage of outages that are active, restored, or pending. You can choose any color scheme that suits your preference, but make sure that the colors are distinct and easy to identify. For example, you can use red for active, green for restored, and yellow for pending.
* Drag and drop the visualization that shows the overall trend of outages on the bottom space of the dashboard. This visualization is a line graph that shows the number of outages over time. You can choose any color scheme that suits your preference, but make sure that the color is visible and contrasted with the background. For example, you can use blue for the line and white for the background.
* Select appropriate titles and labels for each visualization. Titles and labels may be used more than once.
For example, you can use "County Outages" as the title for the map, "Status" as the title for the pie chart, and "Trend" as the title for the line graph. You can also use "County", "Number of Outages",
"Active", "Restored", "Pending", "Time", and "Number of Outages" as labels for the axes and legends of the visualizations.
NEW QUESTION # 185
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