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Newest CompTIA Data+ Exam (2025) Valid Questions - DA0-002 Updated Torrent & DA0-002 Reliable Training
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CompTIA Data+ Exam (2025) Sample Questions (Q49-Q54):
NEW QUESTION # 49
Which of the following is business intelligence software?
- A. Notepad++
- B. Python
- C. SAS
- D. Tableau
Answer: D
Explanation:
This question falls under theVisualization and Reportingdomain, focusing on identifying tools used for business intelligence (BI), which typically involves data visualization and reporting.
* SAS (Option A): SAS is a statistical analysis software, not primarily a BI tool focused on visualization.
* Python (Option B): Python is a programming language, not a BI software, though it can be used for data analysis with libraries.
* Notepad++ (Option C): Notepad++ is a text editor, not a BI tool.
* Tableau (Option D): Tableau is a leading BI software designed for data visualization, dashboards, and reporting, making it the correct choice.
The DA0-002 Visualization and Reporting domain includes understanding "the appropriate visualization in the form of a report or dashboard," and Tableau is a recognized BI tool for this purpose.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 50
Which of the following explains the purpose of UAT?
- A. To begin the software application development process to enhance user experience
- B. To review software application crashes, create patches, and deploy to users
- C. To ensure all parts of the software application work together after each sprint
- D. To validate and verify that a software application meets the needs and requirements of users
Answer: D
Explanation:
This question is related to theData Governancedomain of DA0-002, which includes understanding processes like User Acceptance Testing (UAT) to ensure data-related applications meet governance and quality standards. UAT is a critical step in ensuring software aligns with user needs and organizational requirements.
* To begin the software application development process to enhance user experience (Option A):
UAT occurs near the end of development, not at the beginning.
* To ensure all parts of the software application work together after each sprint (Option B): This describes integration testing, not UAT, which focuses on user validation.
* To review software application crashes, create patches, and deploy to users (Option C): This refers to post-deployment maintenance, not UAT.
* To validate and verify that a software application meets the needs and requirements of users (Option D): UAT is specifically designed to ensure the software meets user requirements and functions as intended in a real-world scenario, aligning with governance standards for quality.
The DA0-002 Data Governance domain emphasizes "data quality control concepts" (similar to DA0-001, web ID: 1), which include ensuring applications meet user needs through processes like UAT.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance
NEW QUESTION # 51
Which of the following best describes an assessment a data analyst would use to validate that the number of records in a dataset matches the expected results?
- A. Unit test
- B. Health check
- C. Stress test
- D. Source control
Answer: A
Explanation:
This question pertains to theData Governancedomain, focusing on data quality validation techniques. The task is to validate that the number of records matches expectations, which requires a specific type of assessment.
* Source control (Option A): Source control (e.g., Git) manages code versions, not dataset validation.
* Unit test (Option B): A unit test checks a specific component of a process, such as verifying that the number of records in a dataset matches the expected count, making it the best fit.
* Stress test (Option C): Stress tests evaluate system performance under load, not record counts.
* Health check (Option D): A health check monitors system status but isn't specific to validating record counts.
The DA0-002 Data Governance domain includes "data quality control concepts," and unit tests are a standard method for validating specific data outcomes like record counts.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 52
A data analyst is creating a pivot table for a large dataset for an upcoming board meeting. Which of the following is the purpose of the pivot table?
- A. To organize the data for reporting
- B. To visualize the data in a dashboard
- C. To retrieve and clean data from several sources
- D. To summarize and analyze the data
Answer: D
Explanation:
This question pertains to theData Analysisdomain, focusing on the purpose of a pivot table. Pivot tables are a tool for summarizing and analyzing data, often used in preparation for reporting.
* To visualize the data in a dashboard (Option A): Pivot tables summarize data but aren' tvisualizations; charts in dashboards might be created from pivot tables.
* To retrieve and clean data from several sources (Option B): Retrieving and cleaning data is part of data preparation, not the purpose of a pivot table.
* To summarize and analyze the data (Option C): Pivot tables aggregate and summarize data (e.g., by calculating sums, averages) and allow for analysis (e.g., filtering, grouping), which is their primary purpose.
* To organize the data for reporting (Option D): While pivot tables can help organize data, their main purpose is summarization and analysis, not just organization.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and pivot tables are a key tool for summarizing and analyzing large datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 53
A business intelligence analyst is creating an employee retention dashboard that looks at data from the last five years. The analyst is interested in identifying patterns that can be studied further. Which of the following is the best method to apply to the dashboard?
- A. Prescriptive
- B. Descriptive
- C. Predictive
- D. Diagnostic
Answer: D
Explanation:
This question falls under theData Analysisdomain, focusing on analytical methods for dashboards. The analyst wants to identify patterns in historical data for further study, which points to a specific type of analytics.
* Predictive (Option A): Predictive analytics forecasts future outcomes, not focused on identifying patterns for further study.
* Prescriptive (Option B): Prescriptive analytics provides recommendations, which goes beyond identifying patterns.
* Diagnostic (Option C): Diagnostic analytics examines historical data to identify patterns, trends, and correlations, enabling further investigation, which fits the scenario.
* Descriptive (Option D): Descriptive analytics summarizes what happened but doesn't focus on identifying patterns for deeper study.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and diagnostic analytics is best for pattern identification in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 54
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