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CompTIA Data+ Exam (2025) Sample Questions (Q59-Q64):

NEW QUESTION # 59
Which of the following data repositories stores unstructured and structured data?

A. Data silo
B. Data store
C. Data lake
D. Data mart

Answer: C

Explanation:
This question falls under theData Concepts and Environmentsdomain of CompTIA Data+ DA0-002, which involves understanding different types of data repositories and their characteristics. The task is to identify a repository that can store both unstructured and structured data.
* Data store (Option A): A data store is a general term for any data repository, but it's not specific enough to confirm it stores both unstructured and structured data.
* Data silo (Option B): A data silo is an isolated data repository, often structured, and not typically designed for unstructured data.
* Data mart (Option C): A data mart is a subset of a data warehouse, focused on structured data for specific business areas, not unstructured data.
* Data lake (Option D): A data lake is a centralized repository that stores raw data in its native format, including both structured (e.g., tables) and unstructured (e.g., text, images) data, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is specifically designed to handle both unstructured and structured data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 60
A project manager requests an unscheduled report that provides a list of clients. Which of the following frequencies is best for this report?

A. Annual
B. Ad hoc
C. Weekly
D. Daily

Answer: B

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report delivery frequencies.
The report is described as unscheduled, meaning it's a one-time request.
* Annual (Option A): Annual frequency implies a scheduled report every year, not suitable for an unscheduled request.
* Daily (Option B): Daily frequency implies a scheduled report each day, not suitable.
* Weekly (Option C): Weekly frequency implies a scheduled report each week, not suitable.
* Ad hoc (Option D): Ad hoc reports are generated on-demand for one-time or unscheduledneeds, which matches the project manager's request.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and ad hoc is the best frequency for an unscheduled report.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 61
Which of the following is a NoSQL database?

A. PostgreSQL
B. MySQL
C. Oracle
D. MongoDB

Answer: D

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on types of databases. The task is to identify a NoSQL database among the options.
* PostgreSQL (Option A): PostgreSQL is a relational (SQL) database, not NoSQL.
* MySQL (Option B): MySQL is a relational (SQL) database, not NoSQL.
* Oracle (Option C): Oracle Database is a relational (SQL) database, not NoSQL.
* MongoDB (Option D): MongoDB is a NoSQL database that uses a document-based model, storing data in JSON-like structures, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and MongoDB is a well-known NoSQL database.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 62
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. Convert data to date format and use date functions.
D. Transform data to a numerical value and use mathematical functions.

Answer: C

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 # 63
Due to new reporting requirements, a data analyst must add new classification codes to historical data. Which of the following is the best technique for this task?

A. Binning
B. Parsing
C. Union
D. Append

Answer: D

Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on modifying historical data. The task is to add new classification codes to existing data, which involves adding new rows or columns.
* Append (Option A): Appending adds new rows to a dataset, which is suitable if the classification codes are new records (e.g., a new table of codes to combine with historical data). If the codes are a new column, a join or update might be used, but append fits the context of adding new data.
* Binning (Option B): Binning groups data into categories, not suitable for adding classification codes.
* Parsing (Option C): Parsing breaks down data (e.g., splitting strings), not relevant for adding codes.
* Union (Option D): Union stacks tables with identical structures, but the task involves adding new data (codes) to historical data, not combining identical tables.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and appending is a common technique for adding new data to historical datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 64
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