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[General] New CompTIA DA0-002 Braindumps Questions & DA0-002 Customizable Exam Mode

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【General】 New CompTIA DA0-002 Braindumps Questions & DA0-002 Customizable Exam Mode

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CompTIA Data+ Exam (2025) Sample Questions (Q85-Q90):NEW QUESTION # 85
A senior manager needs a report that can be generated and accessed at any time. Which of the following delivery methods should a data analyst use?
  • A. Ad hoc
  • B. Dynamic
  • C. Static
  • D. Self-service
Answer: D
Explanation:
This question is part of theVisualization and Reportingdomain, focusing on report delivery methods. The requirement for a report that can be generated and accessed at any time suggests user-driven access.
* Ad hoc (Option A): Ad hoc reports are one-time, on-demand reports, not designed for anytime access by the user.
* Dynamic (Option B): Dynamic reports allow interactivity but don't necessarily imply user-generated access at any time.
* Self-service (Option C): Self-service reporting allows users (e.g., the senior manager) to generate and access reports on-demand at any time, fitting the requirement.
* Static (Option D): Static reports are fixed and don't allow on-demand generation by the user.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and self-service is ideal for anytime access.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 86
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?
  • A. Ad hoc
  • B. Summary
  • C. Snapshot
  • D. Infographic
Answer: B
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 # 87
A data analyst needs to join together a table data source and a web API data source using Python. Which of the following is the best way to accomplish this task?
  • A. Convert the data from the API and database to a JSON format and convert them to pandas DataFrames that are then merged together.
  • B. Convert the data from the API and database to a TXT format and convert them to pandas DataFrames that are then merged together.
  • C. Convert the data from the API and database to a string format and convert them to pandas DataFrames that are then merged together.
  • D. Convert the data from the API and database to a varchar format and convert them to pandas DataFrames that are then merged together.
Answer: A
Explanation:
This question falls under theData Acquisition and Preparationdomain of CompTIA Data+ DA0-002, which involves acquiring and combining data from different sources, such as a database and a web API, using tools like Python. The task requires joining the data, which in Python often involves using pandas DataFrames.
* Convert the data from the API and database to a varchar format and convert them to pandas DataFrames that are then merged together (Option A): VARCHAR is a databasedata type for strings, not a format for data exchange or merging in Python, making this incorrect.
* Convert the data from the API and database to a JSON format and convert them to pandas DataFrames that are then merged together (Option B): Web APIs commonly return data in JSON format, and databases can export data as JSON. In Python, JSON data can be easily converted to pandas DataFrames using pandas.read_json() or pandas.DataFrame(), and then merged using pandas.merge() on a common key, making this the best approach.
* Convert the data from the API and database to a TXT format and convert them to pandas DataFrames that are then merged together (Option C): TXT is a generic text format that lacks structure, making it less efficient for merging compared to JSON.
* Convert the data from the API and database to a string format and convert them to pandas DataFrames that are then merged together (Option D): Converting to a string format is vague and not a standard approach for structured data merging in Python.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as combining data from APIs and databases, and JSON is a standard format for this purpose in Python.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 88
A data analyst has a dashboard that shows weekly data. For the past few weeks, the data has not updated.
Which of the following is the best way to confirm that the data is current?
  • A. Setting up a monitoring alert that checks on data freshness
  • B. Removing all filters from the dashboard
  • C. Working with a database administrator on query optimization
  • D. Validating that the proper data sources are being used
Answer: A

NEW QUESTION # 89
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?
  • A. A recipient received duplicate emails.
  • B. Some emails were not delivered.
  • C. The aggregation did not include all emails.
  • D. The report failed to run properly.
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 # 90
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