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DA0-002 exam collection: CompTIA Data+ Exam (2025) & DA0-002 torrent VCE

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CompTIA Data+ Exam (2025) Sample Questions (Q48-Q53):

NEW QUESTION # 48
A data analyst receives a flat file that includes dates. The analyst needs to calculate the number of days from the dates on the file to the current date. Which of the following is the best way to complete this task?

A. Convert data to date format and use date functions.
B. Validate the date format with logical functions and use date functions to analyze.
C. Use date functions to analyze the data with no conversion.
D. Transform data to a numerical value and use mathematical functions.

Answer: A

Explanation:
This question pertains to theData Analysisdomain, focusing on date calculations. The task is to calculate the difference between dates in a file and the current date, requiring proper date handling.
* Convert data to date format and use date functions (Option A): Flat files often store dates as strings (e.g., "2023-01-01"). Converting them to a date format (e.g., using Python's datetime or SQL's TO_DATE) allows the use of date functions (e.g., DATEDIFF) to calculate the difference to the current date, which is the best approach.
* Validate the date format with logical functions and use date functions to analyze (Option B):
Validation is unnecessary if conversion handles format issues, making this overly complex.
* Use date functions to analyze the data with no conversion (Option C): Without converting to a date format, date functions may fail if the data is stored as strings.
* Transform data to a numerical value and use mathematical functions (Option D): This is inefficient and error-prone compared to using date functions.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and converting to date format followed by date functions is the standard method for such calculations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

NEW QUESTION # 49
An administrator needs to design a table that will include foreign words. Which of the following is the best option for storing non-native language characters?

A. NVARCHAR
B. CHAR
C. VARCHAR
D. CLOB

Answer: A

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on selecting appropriate data types for storing specific kinds of data. The task requires storing foreign words, which often include non- native characters (e.g., accents, Unicode characters).
* VARCHAR (Option A): VARCHAR stores variable-length strings but typically uses ASCII or single- byte encoding, which may not support all foreign characters.
* NVARCHAR (Option B): NVARCHAR (National VARCHAR) stores variable-length strings in Unicode, supporting a wide range of non-native characters, making it the best choice.
* CLOB (Option C): CLOB (Character Large Object) is for large text data, but it's overkill for most foreign words and not specifically designed for Unicode.
* CHAR (Option D): CHAR stores fixed-length strings, but like VARCHAR, it often uses single-byte encoding, which may not support foreign characters.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as selecting data types like NVARCHAR for Unicode support.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 50
An analyst must use the same data to create reports for police patrol supervisors, the city council, and a public website. Which of the following is the best way to differentiate the reports?

A. Accessibility
B. Detail levels
C. Persona type
D. Sensitivity

Answer: C

Explanation:
This question falls under theVisualization and Reportingdomain, focusing on tailoring reports for different audiences. The same data is used for three distinct groups (supervisors, city council, public), requiring differentiation.
* Persona type (Option A): Persona types define the audience's needs and preferences (e.g., supervisors need operational details, the city council needs summaries, the public needs simplified data), making this the best way to differentiate the reports.
* Detail levels (Option B): Detail levels are a result of persona types, not the method of differentiation.
* Accessibility (Option C): Accessibility ensures access for all users (e.g., screen readers), but it's not the primary way to differentiate content.
* Sensitivity (Option D): Sensitivity determines data access (e.g., confidential vs. public), but the scenario implies all reports use the same data, just presented differently.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and persona types guide report differentiation for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 51
Which of the following file types separates data using a delimiter?

A. HTML
B. CSV
C. XML
D. JSON

Answer: B

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on understanding file formats and their structures. The task is to identify a file type that uses delimiters to separate data.
* XML (Option A): XML uses tags to structure data, not delimiters.
* HTML (Option B): HTML is a markup language for web pages, not a data file format using delimiters.
* JSON (Option C): JSON uses key-value pairs and nested structures, not delimiters like commas.
* CSV (Option D): CSV (Comma-Separated Values) uses delimiters (typically commas) to separate data fields, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as file formats like CSV that use delimiters.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 52
A company reports on seven years of data in a sales dashboard. The dashboard pulls from a sales database that has 30 years of data. The dashboard performance is slow. Which of the following is the best way to improve the dashboard's performance?

A. Filtering to include only relevant data
B. Adding more RAM and rerunning
C. Checking network connectivity
D. Performing a code review

Answer: A

Explanation:
This question falls under theData Governancedomain, focusing on optimizing data quality and performance in dashboards. The dashboard is slow because it pulls from a large database (30 years) but only needs seven years of data.
* Performing a code review (Option A): A code review might identify inefficiencies, but it's not the most direct solution for this scenario.
* Checking network connectivity (Option B): Network issues might cause delays, but the primary issue is the data volume, not connectivity.
* Filtering to include only relevant data (Option C): Filtering the data to include only the last seven years reduces the dataset size, directly improving performance by minimizing the data processed.
* Adding more RAM and rerunning (Option D): Adding RAM might help, but it's a hardware solution that doesn't address the root cause of excessive data.
The DA0-002 Data Governance domain includes "data quality control concepts," such as optimizing performance by filtering data to improve efficiency.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.

NEW QUESTION # 53
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