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CompTIA Data+ Exam (2025) Sample Questions (Q49-Q54):

NEW QUESTION # 49
A data analyst is preparing a survey for Paralympic Games athletes. Which of the following should the analyst consider when creating this survey?

• A. Granularity
• B. Idioms
• C. Color contrast
• D. Refresh speed

Answer: C

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on survey design considerations, particularly for accessibility. The survey is for Paralympic athletes, who may have visual impairments, requiring specific design considerations.
* Idioms (Option A): Idioms (e.g., colloquial phrases) might confuse non-native speakers, but they're not a primary survey design concern for Paralympic athletes.
* Color contrast (Option B): High color contrast ensures readability for athletes with visual impairments (e.g., color blindness), a critical accessibility consideration for Paralympic surveys.
* Refresh speed (Option C): Refresh speed is relevant for dashboards, not static surveys.
* Granularity (Option D): Granularity refers to data detail levels, not a survey design consideration.
The DA0-002 Visualization and Reporting domain includes "translating business requirements to form the appropriate visualization," and color contrast is a key accessibility factor in survey design for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 50
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. Diagnostic
• D. Predictive

Answer: C

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 # 51
A data analyst deployed a report for public access. A user states that the report is not showing the latest information, even though the user updated the source an hour ago. Which of the following should the data analyst check first?

• A. Report corruption
• B. User privileges
• C. Event log
• D. Database connection

Answer: D

Explanation:
This question pertains to theData Governancedomain, focusing on troubleshooting data freshness issues in reports. The report isn't showing the latest data despite a recent source update, indicating a potential refresh or connectivity issue.
* Event log (Option A): Event logs might provide insight into errors, but they're not the first step for checking data freshness.
* User privileges (Option B): Privileges might affect access, but the user can see the report, so this isn't the issue.
* Database connection (Option C): If the database connection failed or isn't refreshing properly, the report won't reflect the latest data, making this the first thing to check.
* Report corruption (Option D): Corruption might cause errors, but it's less likely than a connectivity issue for this scenario.
The DA0-002 Data Governance domain includes "data quality control concepts," such as ensuring data freshness by verifying database connections.
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 visualize the data in a dashboard
• B. To organize the data for reporting
• 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 data analyst creates a report, and some of the fields are empty. Which of the following conditions should the analyst add to a query to provide a list of all the records with empty fields?

• A. WHERE [ColumnName] = NULL
• B. WHERE [ColumnName] IS NOT NULL
• C. WHERE [ColumnName] = 'NULL'
• D. WHERE [ColumnName] IS NULL

Answer: D

Explanation:
This question falls under theData Analysisdomain, focusing on SQL queries to identify data issues. The task is to find records with empty fields, which in SQL means NULL values.
* WHERE [ColumnName] = NULL (Option A): In SQL, NULL cannot be compared using "="; this syntax is incorrect.
* WHERE [ColumnName] IS NULL (Option B): This is the correct SQL syntax to identify NULL values, which represent empty fields.
* WHERE [ColumnName] IS NOT NULL (Option C): This finds non-empty fields, the opposite of the requirement.
* WHERE [ColumnName] = 'NULL' (Option D): This checks for the string "NULL," not a true NULL value, which is incorrect.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," such as identifying NULL values with IS NULL.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

NEW QUESTION # 54
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