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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Certification Exam |
| Exam Number: | DA0-001 |
| Available Languages: | Japanese, English, Thai |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Exam Format: | Performance-Based Questions, Multiple Choice |
| Passing Score: | 675 (on a scale of 100–900) |
| Related Certifications: | CompTIA Data+ |
| Exam Price: | $255 USD |
| Real Exam Qty: | Maximum of 90 |
| Sample Questions: | CompTIA DA0-001 Sample Questions |
| Exam Way: | Online or at a Pearson VUE testing center |
| Pre Condition: | CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience. |
| Official Syllabus URL: | https://www.comptia.org/certifications/data |
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CompTIA DA0-001 certification exam is designed to test the candidate's proficiency in a variety of data management and analysis-related topics. DA0-001 exam consists of a maximum of 90 multiple-choice and performance-based questions, and the candidate is given 90 minutes to complete the exam. DA0-001 Exam is computer-based and can be taken at any Pearson VUE testing center worldwide. DA0-001 exam is designed to test the candidate's knowledge of data management concepts and their ability to apply that knowledge to real-world scenarios.
NEW QUESTION # 55
During data profiling, an analyst decides to recode the status column in the following data set:
Which of the following data concerns explains why the analyst wants to take this action?
Answer: B
NEW QUESTION # 56
You are working with a dataset and need to swap the values in rows with those in columns.
What action do you need to perform?
Answer: C
Explanation:
Explanation
Transpose creates a new data file in which the rows and columns in the original data file are transposed so that cases (rows) become variables and variables (columns) become cases. Transpose automatically creates new variable names and displays a list of the new variable names.
Transposing data is useful for data analysis. At times, we have to pull data from various files with different formats for analysis and preparing reports. In such circumstances, we may have to transpose some data from one file to the other. In excel, we can transpose data in multiple ways.
NEW QUESTION # 57
A data analyst received a large amount of third-party data that needs to be joined with in-house data files.
After the data is joined, the analyst notices three columns all contain dates. Which of the following should the analyst do to maintain data consistency?
Answer: D
Explanation:
When dealing with multiple date columns from different data sources, it's crucial to ensure consistency and accuracy in the dataset. The best practice is to merge the date columns and standardize the date format across the entire dataset. This approach helps maintain data integrity, simplifies analysis, and avoids confusion that could arise from having multiple date formats. Unifying the date format is particularly important when the data will be used for time series analysis or when dates are key to joining with other datasets.
References:
* Best practices in data merging emphasize the importance of a single point of reference and the need to avoid data loss or damage to individual data structures1.
* Power BI guides suggest that merging columns should be done carefully to maintain data integrity and avoid errors and inconsistencies2.
* Oracle Blogs highlight the need for a consistent number of columns among data sources when combining data with unions3.
* Excel tutorials recommend organizing data before merging and using formulas for complex merges4.
* An Excel guide on merging date and time columns advises employing functions to ensure seamless handling of non-date values5.
NEW QUESTION # 58
Given the following:
Which of the following is the most important thing for an analyst to do when transforming the table for a trend analysis?
Answer: C
Explanation:
Explanation
Correcting the dates so they have the same format is the most important thing for an analyst to do when transforming the table for a trend analysis. Trend analysis is a method of analyzing data over time to identify patterns, changes, or relationships. To perform a trend analysis, the data needs to have a consistent and comparable format, especially for the date or time variables.
In the example, the date purchased column has two different formats: YYYY-MM-DD and MM/DD/YYYY.
This could cause errors or confusion when sorting, filtering, or plotting the data over time. Therefore, the analyst should correct the dates so they have the same format, such as YYYY-MM-DD, which is a standard and unambiguous format.
NEW QUESTION # 59
Which of the following differentiates a flat text file from other data types?
Answer: D
Explanation:
A flat text file is a type of data file that contains only plain text without any formatting or markup. Data in a flat text file is usually separated by a delimiter, which is a character that marks the boundary between different fields or values. For example, a comma-separated values (CSV) file is a flat text file that uses commas as delimiters. Other common delimiters are tabs, spaces, semicolons, and pipes. Therefore, the correct answer is A. References: Plain text - Wikipedia, Comparison of document markup languages - Wikipedia
NEW QUESTION # 60
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