PRACTICE DA0-002 ENGINE AND COMPTIA DA0-002 PRINTABLE PDF: COMPTIA DATA+ EXAM (2025) LATEST RELEASED

Practice DA0-002 Engine and CompTIA DA0-002 Printable PDF: CompTIA Data+ Exam (2025) Latest Released

Practice DA0-002 Engine and CompTIA DA0-002 Printable PDF: CompTIA Data+ Exam (2025) Latest Released

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CompTIA Data+ Exam (2025) Sample Questions (Q46-Q51):

NEW QUESTION # 46
A sales manager wants a dashboard that shows sales aggregated by region and identifies high-volume sales by salesperson per region. Which of the following communication techniques best displays this information?

  • A. Level of detail
  • B. Defined parameters
  • C. Filter options
  • D. User persona

Answer: C

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on dashboard features for displaying data. The dashboard needs to show aggregated sales by region and allow identification of high- volume sales by salesperson within each region.
* Defined parameters (Option A): Parameters set specific values (e.g., a date range), but they don't directly enable interaction with aggregated data.
* Filter options (Option B): Filter options allow the user to select a region and then view salespersons within that region, enabling the identification of high-volume sales per region interactively.
* Level of detail (Option C): Level of detail determines the granularity of data shown but doesn't facilitate interactive exploration.
* User persona (Option D): User personas guide dashboard design but aren't a communication technique for displaying data.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and filter options best enable the interactive analysis required.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 47
A company has a document that includes the names of key metrics and the standard for how those metrics are calculated company-wide. Which of the following describes this documentation?

  • A. Data explainability report
  • B. Data lineage
  • C. Data dictionary
  • D. Data flow diagram

Answer: C

Explanation:
This question falls under theData Concepts and Environmentsdomain, which involves understanding documentation types related to data management. The document describes key metrics and their calculation standards, which points to a specific type of metadata documentation.
* Data dictionary (Option A): A data dictionary defines data elements, including metrics, their meanings, and calculation methods, ensuring consistency across the organization. This matches the description.
* Data explainability report (Option B): This term is more associated with AI/ML, explaining model decisions, not metric definitions.
* Data lineage (Option C): Data lineage tracks the flow of data through systems, not metric definitions or calculations.
* Data flow diagram (Option D): A data flow diagram visualizes data processes, not metric standards.
The DA0-002 Data Concepts and Environments domain includes understanding "basic concepts of data schemas and dimensions" , and a data dictionary is a foundational tool for defining metrics.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments


NEW QUESTION # 48
A database administrator needs to implement security triggers for an organization's user information database.
Which of the following data classifications is the administrator most likely using? (Select two).

  • A. Open
  • B. Sensitive
  • C. Encrypted
  • D. Non-Sensitive
  • E. Public
  • F. Private

Answer: B,F

Explanation:
This question pertains to theData Governancedomain, focusing on data classification for security purposes.
User information databases typically contain personal data, and security triggers (e.g., alerts for unauthorized access) require classifying data to determine protection levels.
* Public (Option A): Public data is openly accessible (e.g., company brochures), not suitable for user information requiring security triggers.
* Open (Option B): Open isn't a standard data classification; it's similar to public and not applicable here.
* Sensitive (Option C): Sensitive data includes information that, if exposed, could cause harm (e.g., user emails, roles), which fits user information and warrants security triggers.
* Non-Sensitive (Option D): Non-sensitive data doesn't require protection, so it wouldn't need security triggers.
* Private (Option E): Private data includes PII (e.g., names, addresses) in user information databases, requiring security measures like triggers to protect against breaches.
* Encrypted (Option F): Encrypted refers to a data state, not a classification; data can be classified as private or sensitive and then encrypted.
The DA0-002 Data Governance domain includes "data quality control concepts," such as classifying data to apply appropriate security measures. Sensitive and private classifications are most relevant for user information.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 49
A data analyst is analyzing the following dataset:
Transaction Date
Quantity
Item
Item Price
12/12/12
11
USB Cords
9.99
11/11/11
3
Charging Block
8.89
10/10/10
5
Headphones
50.15
Which of the following methods should the analyst use to determine the total cost for each transaction?

  • A. Parsing
  • B. Deriving
  • C. Compressing
  • D. Scaling

Answer: B

Explanation:
This question falls under theData Analysisdomain, focusing on calculating new values from existing data.
The task is to determine the total cost per transaction, which involves multiplying Quantity by Item Price.
* Parsing (Option A): Parsing involves breaking down data (e.g., splitting a string), not calculating totals.
* Scaling (Option B): Scaling adjusts numerical values to a common range (e.g., normalization), not relevant for calculating totals.
* Compressing (Option C): Compressing reduces data size, not applicable to calculating costs.
* Deriving (Option D): Deriving involves creating new data fields by performing calculations on existing ones (e.g., Total Cost = Quantity × Item Price), which fits the task.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as deriving new fields through calculations to analyze data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 50
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. Validate the date format with logical functions and use date functions to analyze.
  • B. Use date functions to analyze the data with no conversion.
  • C. Transform data to a numerical value and use mathematical functions.
  • D. Convert data to date format and use date functions.

Answer: D

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 # 51
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