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NEW QUESTION # 27
A data analyst receives four files that need to be unified into a single spreadsheet for further analysis. All of the files have the same structure, number of columns, and field names, but each file contains different values.
Which of the following methods will help the analyst convert the files into a single spreadsheet?
Answer: A
Explanation:
This question is part of theData Acquisition and Preparationdomain, which involves combining data from multiple sources. The files have the same structure but different values, meaning theyneed to be stacked vertically into one dataset.
* Merging (Option A): Merging typically involves joining datasets on a common key (e.g., a customer ID), which isn't indicated here since the files only differ in values, not keys.
* Appending (Option B): Appending stacks datasets vertically, combining rows from files with the same structure into a single dataset, which matches the scenario.
* Parsing (Option C): Parsing involves breaking down data (e.g., splitting text), not combining files.
* Clustering (Option D): Clustering is a machine learning technique for grouping similar data points, not for combining files.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as appending datasets with identical structures.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
NEW QUESTION # 28
A manager requests a report that returns results based on a user's profile. Which of the following best describes this type of report?
Answer: D
NEW QUESTION # 29
A data analyst is creating a report about cars sold within the last twelve months. The current data set only contains information from the last ten months. Which of the following is the most appropriate way to accomplish this task?
Answer: B
NEW QUESTION # 30
A data analyst is creating a report that provides information to parents and residents about the school distinct and its individual schools. Which of the following statistical methods is best suited for reporting this information?
Answer: C
Explanation:
Descriptive statistics are used to summarize and present existing data in a meaningful way. Since the report is intended to provide information about the school district and its individual schools, descriptive methods are best suited to present current facts, metrics, and characteristics without making predictions or drawing conclusions about a larger population.
NEW QUESTION # 31
A manager wants to use the information in a recurring report on incomplete timesheets for the prior month to guide employee outreach. Which of the following report types is the best for this task?
Answer: D
Explanation:
This question is part of theVisualization and Reportingdomain, focusing on selecting the appropriate report type for a specific purpose. The manager needs a recurring report on incomplete timesheets to guide outreach, which requires a concise, data-driven report.
* Summary (Option A): A summary report aggregates data (e.g., total incomplete timesheets per employee) and presents it concisely, making it ideal for recurring use to guide decisions like employee outreach.
* Infographic (Option B): Infographics are visual representations for broad audiences, not typically used for recurring, detailed employee outreach tasks.
* Snapshot (Option C): A snapshot report captures data at a specific point in time, but it's not ideal for recurring analysis of trends or aggregates.
* Ad hoc (Option D): Ad hoc reports are one-time, on-demand reports, not suitable for recurring needs.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" , and a summary report best fits the need for recurring, actionable data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting
NEW QUESTION # 32
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