高質量的DA0-001 PDF和認證考試的領導者材料和免費PDF DA0-001考古題分享根據過去的考試題和答案的研究，NewDumps提供的CompTIA DA0-001練習題和真實的考試試題有緊密的相似性。NewDumps是可以承諾您能100%通過你第一次參加的CompTIA DA0-001 認證考試。 最新的 CompTIA Data+ DA0-001 免費考試真題 (Q32-Q37):問題 #32
Jenny wants to study the academic performance of undergraduate sophomores and wants to determine the average grade point average at different points during an academic year.
What best describes the data set she needs?
A. Observation.
B. Sample.
C. Variable.
D. Population.
答案：B
解題說明：
Explanation
Correct answer A. Sample.
Jenny does not have data for the entire population of all undergraduate sophomores. While a specific grade point average is an observation of variable, jenny needs sample data.
問題 #33
A data analyst needs to create a dashboard to help identify trends in the data sets. Which of the following is an appropriate consideration for dashboard development?
A. A comparison of data sets
B. Data sources and attributes
C. A report from the data source
D. Frequently asked questions
答案：B
解題說明：
When creating a dashboard to identify trends in data sets, the most appropriate consideration is the data sources and attributes. This is because the quality, reliability, and structure of the data sources directly influence the dashboard's ability to accurately reflect trends. Attributes, such as the type of data and the time frame it covers, are crucial for trend analysis. A well-designed dashboard should provide a clear and intuitive representation of the data, allowing for easy identification of trends and patterns.
Frequently asked questions (B) can inform the design of the dashboard but are not a direct consideration for the development process itself. A report from the data source might be an output of the dashboard but does not guide its development. A comparison of data sets (D) could be a feature of the dashboard, but the underlying data sources and attributes must be considered first to ensure accurate and meaningful comparisons.
Reference:
Best practices in dashboard design emphasize the importance of understanding and consolidating different data sources and creating a mix of useful metrics, which aligns with the choice of data sources and attributes1.
Fundamental dashboard design principles include the clear and efficient display of information, which is dependent on the proper selection and use of data sources and attributes2.
Effective dashboard communication is achieved by using colors, shapes, sizes, labels, and legends meaningfully, all of which rely on the underlying data sources and attributes3.
問題 #34
A data analyst needs to create a master file that includes customer information from the tables below:
Given the three tables above, the analyst wants to filter down the information prior to joining it together. In which of the following orders should this data manipulation bo approached for the most efficient result?
A. Deduplicate, append, merge
B. Merge, append, deduplicate
C. Append, deduplicate, merge
D. Merge, deduplicate, append
答案：D
解題說明：
For efficient data manipulation, the ideal order would be to first merge related tables to create a comprehensive set of records, then deduplicate to remove any redundant information. Lastly, appending additional data, such as from another source or table, ensures that all relevant data is included without redundancy before the final analysis. This order prevents unnecessary duplication of effort, such as deduplicating both before and after appending, which would be less efficient.
In the context of the tables provided, merging would likely involve combining customer information from the online and in-store transaction tables with the customer table. Deduplication would remove any redundant customer records that may exist across these tables. Finally, appending would involve adding any additional transaction records to the master file, ensuring a complete dataset for analysis.
問題 #35
Q3 2020 has just ended, and now a data analyst needs to create an ad-hoc sales report that demonstrates how well the Q3 2020 promotion went versus last year's Q3 promotion.
Which of the following date parameters should the analyst use?
A. Q4 2019 vs. Q3 2020
B. Q3 2019 vs. Q3 2020
C. 2019 vs. YTD 2020
D. YTD 2019 vs. YTD 2020
答案：B
解題說明：
Explanation
The date parameters that the analyst should use are Q3 2019 vs. Q3 2020, as this will allow the analyst to compare the sales performance of the Q3 2020 promotion with the same period of last year. This will help to eliminate any seasonal or cyclical effects that might affect the sales data. The other options are not relevant for this purpose, as they either compare different quarters or different years. Reference: CertMaster Practice for Data+ Exam Prep - CompTIA
問題 #36
A marketing analytics team received customer transaction data from two different sources. The data is complete and accurate; however, the field names appear to be inconsistent. Given the following tables:
Which of the following is considered best practice if the team wants to consolidate the files and conduct further analysis?
A. Edit the field names in the data dictionary.
B. Recode the data values.
C. Overwrite the field names in one of the tables.
D. Standardize the field names.
答案：D
解題說明：
When consolidating data from different sources, it is crucial to standardize field names to ensure consistency across datasets. This process involves aligning the field names so that they are the same in both tables, which simplifies the merging of data and subsequent analysis. Standardizing field names helps in maintaining data integrity and avoids confusion that may arise from having different names for the same data point.
Recode the data values (B) would not be necessary unless the data values themselves are inconsistent or in different formats. Overwriting the field names in one of the tables could lead to loss of information or confusion. Editing the field names in the data dictionary (D) is helpful, but it does not address the immediate need to harmonize the field names in the actual datasets.
References:
Best practices in data management.
Principles of data integration and consolidation.
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