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CompTIA Data+ Exam (2025) Sample Questions (Q67-Q72):

NEW QUESTION # 67
A data analyst is preparing a survey for Paralympic Games athletes. Which of the following should the analyst consider when creating this survey?

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

Answer: A

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 # 68
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 retrieve and clean data from several sources
C. To organize the data for reporting
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 # 69
A data analyst is working on an initial analysis of the dataset in the following table:
DateTime
Count
2024-01-01
12
2024-01-02
245
2024-01-02
13
2024-01-03
13
2024-01-03
12
00:00:00
12
Which of the following issues should the analyst flag in the data report?

A. Duplication
B. Outlier
C. Mismatch
D. Completeness

Answer: B

Explanation:
This question falls under theData Analysisdomain, focusing on identifying data quality issues.The table shows counts over time, and the analyst needs to flag an issue in the data.
* Completeness (Option A): Completeness refers to missing data, but all rows have values for DateTime and Count.
* Outlier (Option B): The count of 245 on 2024-01-02 is significantly higher than other counts (12-13), indicating an outlier that should be investigated for accuracy.
* Mismatch (Option C): Mismatch implies inconsistent data types or formats, but the DateTime and Count columns appear consistent except for the last row (addressed separately).
* Duplication (Option D): Duplication refers to identical rows, but no rows are identical (same DateTime and Count).
The last row ("00:00:00", 12) has a formatting issue, but the most significant issue for analysis is the outlier (245), as it could skew results. The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as identifying outliers in datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

NEW QUESTION # 70
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?

A. The analyst did not change the password used to launch the report.
B. The company is experiencing issues with password replication.
C. The company changed its database authentication method.
D. The password expiration process locked the account.

Answer: A

Explanation:
This question falls under theData Governancedomain, focusing on data access and security troubleshooting.
The analyst reset their password, but the recurring analysis failed to log in, indicating a mismatch.
* The company changed its database authentication method (Option A): This would affect all users, not just the analyst, and there's no indication of a broader change.
* The password expiration process locked the account (Option B): The analyst reset the password as required, so the account isn't likely locked due to expiration.
* The analyst did not change the password used to launch the report (Option C): Recurring analyses often use stored credentials. If the analyst updated their password but didn't update the stored credentials for the analysis, the login would fail, making this the most likely reason.
* The company is experiencing issues with password replication (Option D): This is possible but less likely without evidence of broader system issues.
The DA0-002 Data Governance domain includes "data privacy concepts," and ensuring stored credentials match updated passwords is a common issue in recurring analyses.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.

NEW QUESTION # 71
An analyst needs to produce a final dataset using the following tables:
CourseID
SectionNumber
StudentID
MATH1000
1
10009
MATH1000
2
10007
PSYC1500
1
10009
PSYC1500
1
10015
StudentID
FirstName
LastName
10009
Jane
Smith
10007
John
Doe
10015
Robert
Roe
The expected output should be formatted as follows:
| CourseID | SectionNumber | StudentID | FirstName | LastName |
Which of the following actions is the best way to produce the requested output?

A. Join
B. Aggregate
C. Filter
D. Group

Answer: A

Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on combining tables to produce a dataset. The task requires combining the Courses and Students tables to include student names with course details, based on the StudentID.
* Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining tables to include names.
* Join (Option B): A join operation (e.g., INNER JOIN on StudentID) combines the tables, matching records to produce the requested output with CourseID, SectionNumber, StudentID, FirstName, and LastName.
* Group (Option C): Grouping is used for aggregation (e.g., GROUP BY in SQL), not for combining tables.
* Filter (Option D): Filtering selects specific rows, not relevant for combining tables.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as joining tables to create a unified dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 72
......

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DA0-002 Online Exam - Guaranteed DA0-002 Questions Answers

Guaranteed CompTIA DA0-002 Questions Answers & Practice DA0-002 Exams

CompTIA Data+ Exam (2025) Sample Questions (Q67-Q72):

CompTIA Data+ Exam (2025) exam study guide & DA0-002 exam prep material & CompTIA Data+ Exam (2025) latest exam simulator

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